Tech & Innovation Blog
Data Privacy: The Future is Now
Innovation, Tech Trends, Career Insights
As a leader in the industry that collects a wide range of data from employees, we ensure the information is safe with us.
Say you met a technologist at a hackathon and want to connect with the person more. Instead of exchanging business cards like before, you’ll likely pull out your phone and exchange information digitally.
From LinkedIn profiles, Instagram usernames, hometown, and family relationships to mentions in articles from years ago, the internet and digital world do not erase one’s footprints in most cases.
With all information and data becoming digitalized in the 21st century, it’s time to utilize them in a way that’s never been done before. Data is not just your social media photo or where you went for vacation; it can be numbers and confidential information from financial to hospital records.
We recently had the opportunity to speak with Xiaojing W., our Distinguished Engineer who advocates for data privacy and user-respectful interactions. She shared with us some ways she keeps applications safe and secured at ADP.
Why Data Privacy is important
By Xiaojing W., Distinguished Engineer
On September 7, 2017, a consumer credit reporting agency announced that it had breached the data of approximately 143 million U.S. consumers, including customers’ names, dates of birth, social security, driver’s license, and credit card numbers. These incidents resulted in a loss of consumer trust, therefore, future business opportunities.
ADP takes pride in building applications that put customers’ privacy first with holistic security and privacy practices. In fact, our Chief Data Officer developed a holistic privacy framework instilling the privacy culture and centrally managing the practices in daily data operations. 
Here are some of our methods:
- Identification and classification of sensitive information as a part of data governance and management
- Implementation of enterprise-level and system-level data observability/monitoring
- Safeguarding information through various data security controls and advanced technologies such as privileged access management credential choices, secured APIs, file shares, and encryption through data’s entire lifecycle Implementation of Data Management Capability Assessment Model (DCAM) measurement processes to make privacy and security auditable
When it comes to creating a trusting experience for users, we have five best practices to share:
- Engage users in setting the privacy boundaries they want while getting the desired functionalities.
- Build a consistent consent model whenever we collect or use data
- Always include a system of consent receipts for auditing
- Bring full transparency and visibility into why we collect the data, how the data is processed/stored, and with whom we share the data
- Practice minimal data collection and store only the necessary data for future operations
With over 1M clients (about the population of Delaware in the United States), ADP pays more than 38M workers worldwide (about the population of California in the United States), and just in the US alone, we reach nearly 20% of the private US workforce.
As a leader in the industry that collects a wide range of data from employees, we make sure the information is safe with us. At the same time, we pay attention to the design process, ensuring a safe, user-friendly experience for everyone involved.
Here are five design patterns for creating user-respectful and privacy-aware interactions:
- Users must actively opt-in to having their data collected and used
- Users must give consent to every type of data processing activity
- Users must be allowed to withdraw their consent easily at any time
- Users should be able to check every organization and all third parties that will handle the data
- Use just-in-time data collection
Tech Trend: All about Data
Data is always changing, which means more people want ways to keep their information private. This has led to the development of new techniques that preserve user information in large datasets.
Here are four types of technologies that are getting attention in the industry:
- De-identification: we remove or encrypt PII and CII. Multiple techniques, such as tokenization, K-anonymization, and pseudo-anonymization, are provisioned within a Single Global Data Platform (SGDP).
- Differential Privacy: The idea is to add a layer of privacy by adding noise to the original data sets. The new sets make it extremely difficult to infer information about a single individual, while the accuracy of the data analysis and machine learning tasks is not compromised too much.
- Synthetic Data: is algorithmically generated data that mirrors the patterns and composition of the original dataset. Synthetic data can be significant for engineers to test with production-like data. It is also widely used for training the machine learning models used in fraud detection systems and applications with no data or hard-to-get initial data.
- Zero-knowledge proof: Utilizing cryptographic technology, a claimant can validate assertions of confidential information to its verifier without disclosing the details. By leveraging blockchain-based decentralized identity ledger, individuals and companies can easily control who has access to their digital identities. This provides trustful proof of identity, making it easier for users to manage credentials across the web securely.
You may ask, how does the new landscape in data privacy change our product design thinking?
To better understand our clients and the needs of their employees, we must have a comprehensive view of who they are (i.e., profile data) and what they do, and how that impacts their day-to-day (i.e. behavior).
By following HBR‘s new data privacy rules, our products will empower users with trustworthy technology solutions.
Our private permissioned blockchain also safeguards highly sensitive personal data while simultaneously allowing individuals complete control. This innovative technology enables ADP to craft new products and services that benefit employees and clients.
Closing Thoughts
Data privacy isn’t the Privacy Officers’ job; it’s a collective responsibility. As engineers who are often tasked with the technical aspects of securing sensitive data, we must understand the landscape of privacy-enhancing tools and technologies.
Keep in mind that we must stay up to date with the changes in the data industry as our users trust us with their information. Taking care of the trust and protecting the data should be everyone’s top priority.
#Data #DataPrivacy #WomeninStem #Automation #UserExperience
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Tech & Innovation Blog
The Story of ADP Design: Data, Insights, Simplicity
Future of Work, Innovation, Why ADP
Accessible Video Controls
The Story of ADP Design: Data, Insights, Simplicity
Video: The Story of ADP Design: Data, Insights, Simplicity
Narrator: More than 900,000 businesses rely on ADP for leading HR and payroll solutions. How our products are designed is just as important as what they can do. Today, we’re going to learn why purposeful design helps our clients and their people work smarter.
JOE: So we hear the word design used an awful lot. We hear it in development. We hear it in experience. We hear it in the UI. There’s a UI element but there’s much, much more than that. What is design to you?
VIPUL: Designing for people is just part of our DNA. Our clients feeling confident in what they’re using.
BRUNA: It’s more than the look and feel. Design is also about performance.
OSCAR: We want to be 100% focused on their experience. When they come in, this is what they need to do and they should be able to do it quickly.
BRUNA: I think ADP is doing a great job on that. Trust is one of the words that clients use a lot. They trust in ADP.
JOE: That’s exactly right. If you help and can build that trust, they’re going to be able to have confidence to do their job or to crush it.
VIPUL: One of the ways you actually crush it is by being simpler. That one button that says confirm.
JOE: That’s right. How do when you’ve got good design? How do you measure that?
OSCAR: I don’t think there is ever going to be a point where you’re going to be like, this is the final design. This is it. But I think you learn over time, it’s a dynamic thing. Is this better than what we had before? Continue to improve the design. Continue to improve the user experience.
BRUNA: I think that the most important thing is really try to test it as much as possible with clients that are going to use it.
JOE: Describe a little bit about the importance of everybody being involved in that design. Is it a single UX person or UI person but really, the whole business?
JOHN: I may have an answer. And it may be a perfectly good answer to a problem, but I’ll reach out to get other thoughts. Maybe there’s a better way. You can’t just rest on your laurels. Look at COVID in the pandemic. The way our clients and our end customers operated their businesses changed.
JOE: Yeah.
JOHN: And if that changed, then our products have to change.
VIPUL: We now release much smaller, digestible features and new functionality and new things into the system on a weekly basis. And it actually makes it much more easy for us to release it and more importantly our clients to be able to accept these things and consume them, and stay up to pace with us.
JOHN: That’s what we’re here for, empower the business to go at whatever speed it needs to go.
JOE: I think that, to us, is what the modernization experience has been all about with workforce now. Guys, I’ll tell you, if I had every day a chance to get to talk with folks like you in a conversation like this, it’d be a wonderful day to start– bringing developers together with UX folks, with executives, and product people. Thank you for your contribution.
Work is having a moment. Regardless of what you call the state of the talent market, it’s clear we need a better way to work that enables everyone to reach their full potential. ADP is all about designing a better way to work. We design experiences using an integrated design philosophy and approach that leverages: Data, Expertise, and Design innovations.
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Tech & Innovation Blog
GPT Associates Win Big at +Hackathona PUCRS in Brazil
Diversity, Equity, and Inclusion
“Be creative and trust your solution. Always believe in your idea, work, and team’s dedication.”
GPT Associates Win Big at +Hackathona PUCRS in Brazil
ADP’s Global Hackathon is an exciting time for all ADP associates to be a part of hands-on innovation, no matter where they are. Hackathons serve as a way for participants to dive deep into their creative spirits and innovate in a start-up, sprint-like atmosphere. Beyond ADP, numerous hackathons cover a wide gamut of subjects. Two GPT associates recently shined, coming in second place, at the +Hackathona PUCRS, a 24-hour hackathon in Brazil’s Pontifical Catholic University of Rio Grande do Sul (PUCRS) University.
Manoella J., Associate Developer, and Waldyr S., Software Development Intern, partnered on an exciting top-of-mind topic for our products: accessibility. The theme of the event was creating a healthier and more accessible internet. The two focused on mental health and created a browser extension that identifies offensive words and replaces them with their definition, reframing context and reducing negative mental health impacts. We spoke with Manoella and Waldyr to learn more about their experiences participating in Hackathon.
Q: What encouraged you to sign up?
Manoella: I am a student who enjoys problem-solving at PUCRS, and I saw the event’s publicity. As someone who’s always looking for opportunities to innovate, I signed up!
Waldyr: My friends were interested in participating, and we got together to form a team. I hadn’t participated in a Hackathon before, so there was a lot of excitement (and anxiety!).
Q: What was the most difficult part? How did you overcome the challenges?
Manoella: The most challenging part was adapting the extension to change the word on external sites. To overcome this obstacle, we focused on researching bibliographies and collaborating with the IT community to find a possible solution.
Waldyr: Because it’s an extension, my team thought it would be easier, but we faced a few challenges. First, it wasn’t easy calling the API that identifies hate speech, and it was hard to know exactly which words we should replace. We also had to access the User Interface (UI) to send automatically for analysis, which took a large amount of time. We made sure to reach out for help from other developers, addressing the deeper issues. Some tools we used included AWS, Google Perspective API, Python, and JavaScript. My team was proud to develop a creative solution that doesn’t change the meaning of the sentences—but still makes sentences less negative for the users, creating a healthier web experience.
Manoella (third from the right) and Waldyr (second from the right) celebrate with their team.
Q: How did you feel when you heard that you won the challenge in second place?
Manoella: I was pleased and proud of our team. We worked hard for 24 hours to deliver a well-structured, efficient and viable project. It was great to get recognized for sure!
Waldyr: It was a surprise! Even though we believed in our solution, there are other teams that presented great ideas with great experiences as well. We’ve learned a lot connecting with everyone. On top of that, this was our first time participating in the Hackathon and our results exceeded my own expectations.
Q: How did ADP support your participation throughout the Hackathon?
Manoella: At ADP, I have daily contact with good development practices, code optimization, and code versioning—these helped maintain clean and well-presented code for our team. The Hackathon highlights the value of teamwork for me!
Waldyr: When I joined ADP, I learned about agile methodologies—we use them to organize and divide tasks. By understanding these methods at work, I brought what already knew to Hackathon. I’m grateful for all the support I’ve gotten along the way. Here we are, so glad to share our story with fellow associates!
Q: Participating in Hackathon can be intimidating. What advice do you have for future participants?
Manoella: Be creative and trust your solution. Creativity is essential to developing a solution that draws attention to your project. Always believe in your idea, work, and team’s dedication!
Waldyr: Everyone should try it at least once! It’s quite different from what I imagined, doing it with friends there for the same reason as you. We went to learn, have fun and meet new people—reaching second place was a bonus.
Congratulations again to Manoella and Waldyr!
Learn more about working at Brazil Labs and visit Who We Hire.
Podcast: ADP’s UX Leader on Data-Driven Design
Podcast: ADP’s UX Leader on Data-Driven Design
Transcript
Mark:
Welcome to PeopleTech, the podcast of the HCM Technology Report. I’m Mark Feffer. My guest today is Joe Kleinwaechter, the vice president of Global UX for ADP. Among other things, it’s his job to make data accessible and useful. So he’ll tell us about those efforts, about how you make use of tens of millions of records and whether analytics and HR deserves all the attention it gets, on this edition of People Tech.
Mark:
Hey Joe, it’s good to see you again. Could you tell me what you’re working on right now? ADP’s a big company, deal with a lot of data. You are basically in charge of helping people get access to the information. So what’s that translate to on the ground right now?
Joe:
On the ground, my job is a lot of questions. Asking lots of questions and trying to really understand. One of the greatest challenges with us as human beings is that we think we have a really good understanding of others and we only understand it through our lens. And so trying to dismiss that and constantly realize that people do things a lot differently than I do on a daily basis. So my job is to figure out when they need data, when they need access to something, why do they need it? What are they ultimately trying to do? Not necessarily, yeah, maybe they’re trying to get their pay slip, but why are they doing that? What’s the bigger picture?
Joe:
Because it’s in that understanding of what they’re actually trying to do and those emotional states they have, that I can maybe get them there quicker to the end, rather than through a series of steps such as this is the way you always get your pay slip. So I really focus a lot on trying to listen for things that don’t make sense to me or are cognitive dissonance to the way we think about the world.
Mark:
Do you have an example of that cognitive dissonance?
Joe:
Yeah. It’s funny. You think that, listen, if I wanted to pay in the old days, if I wanted to pay somebody, I would have to go to my wallet, give them money because that’s where the money was, in my wallet. And it was only until you realize later that the money was just there because that’s all we had. People didn’t want to have a wallet. People didn’t want to have money. They wanted to ultimately give something in exchange for something else. They didn’t even want to spend money. They wanted to go get a cup of coffee at Starbucks.
Joe:
And then Starbucks figures out guess what? If I have a card for you, I can keep on file for you, or I can know about you. I can maybe help you get there better, not just in paying for the money, but maybe there’s something else. Your favorites, your history. How you operate. Things that make you happier as a customer that maybe you didn’t think about when you pull out your wallet with your Starbucks case, $20 for my coffee. But at the same time, what were the other things along the way that maybe could have been easier for you? So in my job, it’s not just about how do I go and look at my pay. I got to figure out what are they really trying to do? Are they trying to figure out if they have enough money to pay something? Or better yet, maybe they have some ambitious goals to try to accomplish and I can help them along that way. And that’s exactly what we’re doing in wisely right now, in our wisely product line.
Mark:
Now, obviously ADP has a ton of data and that’s kind of factored into your work, I would think. How does it factor in? How do you approach making all of this data digestible and useful?
Joe:
By ignoring most of it. I know that sounds kind of contrarian, but you could get absolutely awash in all of the data. Data’s a really fascinating thing. They say from a mathematical sense, data never lies, no, but, reading it does, right? Somebody could say something perfectly legitimate, but you can interpret it a lot of different ways. So the danger you have with lots of data is that the more you read, the more you make it confused. And what you have to do is take the data and figure out, okay, what can I start with as a hypothesis? Does the data support this? Does it not? And if it’s not, how do I change and pivot on my hypothesis? Those pivots often come by taking that hypothesis and trying it out with people. Seeing does it resonate?
Joe:
Okay, this says, this says this about the great resignation. This is what we know about it. Is that really what’s happening down there? And that’s where UX comes into play. Because we then go out and say, okay, we have this hypothesis, the data says this, what really is it? Is it really true or not? Maybe there’s other ways to interpret that data. And that’s probably one of our biggest challenges, there’s many ways to look at data and you can make data loo, however you want, right? The old statistics line, right? You’ve got to figure out a way that it’s unequivocally true for the people that you serve and localized to their needs. That’s the hard part about data.
Mark:
Okay. Can you tell me a little bit about the technology that’s behind all this? What’s going on under the hood?
Joe:
You mean gathering the data?
Mark:
Not just gathering the data, but putting it together and presenting it in a way that’s usable.
Joe:
Yeah, I think the biggest thing we have to focus on really is what are people actually doing versus what does the data? So the data gives us a starting spot, but really the really good data comes from what they’re actually doing as they’re using your software, for instance. How are they using it? What are they doing? So the best data is the one that actually follows them doing what they’re trying to do, rather than maybe some larger data set that gives you great demographics and breakdowns, but doesn’t really get personal enough. So what we typically do, I’ll give you a great example. In one of our latest products here called Intelligent Self-Service, we actually go back and look at all of our calls that come into the service center. And we find out which ones are the most plentiful, because those are the ones that are probably, our hypothesis is, nobody wants to call into a service center. Nobody wants to call cam Comcast, right? Or call Google. They don’t want to do that. So therefore, how can we subvert those calls ahead of time?
Joe:
Well, okay, we go and look at the top 10, and this is what they’re calling in for. It doesn’t really tell me why or what their circumstance was, or other characteristics like do they really need a human, maybe they need some confidence. We then take that data and apply it in, let’s say hypothesis. We say, listen, people want to know, for instance, who their HR benefits person is whenever they do this. We then watch the way they behave using our software and say, okay, at this time we think they want this. And that combination will help them not call. So it’s a series of hypothesis driven design along the way that takes the data that we see in the call center, combined with the demographics of what we know from our products and how they use our products. Combined with what the user did at that moment, that triggers us wonderful little in, we use the AIML phrase, this black magic that happens with AIML that causes us to say, oh, these things when together have a high degree of confidence that what he’s trying to do is this. Give him this.
Joe:
Now 20 years ago, I mean, we’ve been try AI for a real long time, right? For a very long time. And what makes it really good today is that the models have gotten so good that we’re right far more than we are wrong. Remember the old days of Clippy trying to figure out what you were trying to do? Hey, it looks like you’re trying to write a resume. Irritating as all get out. But now we know what you’re actually trying to do with some high degree of confidence, because we have so much data that built that model so great that we actually have a good idea that maybe not only can we tell you what you need, but maybe we can actually do it on your behalf if you want us to.
Joe:
And that’s really where the state of experience is going to, can we be predictive? Can we be insightful? Can we be intuitive to what they’re trying to do and then be bold enough to offer to do it. And then when we find out that we’ve got really high degree of confidence, that we can do it every time, maybe recommend doing it on their behalf, without them knowing about it, if that’s what they want. That’s the model that the experience is going to.
Mark:
Well, how does this all fit into ADP’s efforts overall?
Joe:
In which respect? In terms of the UX, the experience model, this intuitive model?
Mark:
Yeah.
Joe:
So I would say right now we recognize that the big position that ADP has different than a lot of others in the industry and competitors, is that data, is the wealth of data. It would not be wise for us to ignore the fact that’s a competitive differentiator. So we use that data all over the place. So what’s really key? Our data sciences inside of ADP are pretty, pretty high level. And I say that with the great degree of confidence, because I’ve seen it operate on myself. Our AIML models that we have out there for telling where you’re going to go separates from everybody else. Now, since we have all that data, now the question is what’s the right thing to do with that data? What is the proper thing to do with the data?
Joe:
And our view is really simple. If it helps our clients, our customers, our users out there to do something that they wanted to do or to make them aware of something that they want they should know, then that’s good. Right? So it’s the alignment of that big data through a good model to get into the data at the right time. That’s across the whole product line. That’s across everything ADP is trying to do. We’re trying to become, a little bit like a barista at Starbucks where we know you enough that maybe we have your coffee ready for you because you always do that. You come and say the usual. Okay, good. Here’s the thing that took you half an hour to spout out before, now happens as you get in line. And that’s what ADP is really trying to do, is to be there before even you are there.
Mark:
I mean, obviously there’s a lot of technology behind this and that makes me wonder, how has the technology evolved over the last 10 years say. Which as the technology was evolving, it seemed also that the use of data was spreading. And I’m curious about, first how the technology became more of a foundation. But also how did the growing demand for it influence the technology and vice versa?
Joe:
Yeah, there’s a couple of things. It’s funny having been in many industries that relied on data. There’s a good natural checks and balances with the using of data as we know. There’s good ways to use data. There’s bad ways to use data. And it’s different for every person. I used to, and I still do, refer to something called the creep factor. Something is creepy. Back in 2002, if somebody told you that you need to get in your car because your flight is going to leave in a half an hour and the roads are blocked, you’d be kind of like, well, that’s kind of creepy. How did it know all this stuff, right? And you go, well, that’s creepy. But there’s a point at which you say but that’s useful. Okay.
Joe:
In the early days, we didn’t expect people to have all of that data. Now we’ve come to the point where we are growing up with societies where our kids and all others just assume you have that data, just assume that data is out there. It’s a different world about what we assume the data. Right or wrong, or whether you have that data, they make an assumption that data is there. Therefore, why wouldn’t you use it for me? How dare you not use it to help me become better? And that’s a far cry from where we were in the early 2000s, where how dare you use that data, to the point we said that data’s actually pretty useful. I kind of like the fact that you can do this for me. And then you start allowing a little bit more data, a little bit more data. And next thing we have data fields all over the place that are being mined for lots of different reasons.
Joe:
First, it was just concrete data, physical data. Now it’s behavioral data. How you operate, where you move, where you go. And to the point that it’s useful, great. But there’s always this paranoia that it’s not being used in the right way. And that’s something that I think is really healthy. I think that’s a really healthy check on making sure that we are good ambassadors of that data.
Mark:
What do you mean by paranoia around the data?
Joe:
Well, I think anytime somebody knows something about you that you either A, didn’t want them to know or didn’t know that they know, there’s a natural paranoia in us that asks how are you going to use that? What are you going to do with that, right? And knowing that if this were a benevolent world where everybody was going to use it, right, we’d have no problem with it probably. Not everyone, but a higher majority. But now we’re in the place where we have to be very careful about those that want to use the data to harm us or to use it in a way that annoys us at the very least, right? The scam calls that you get all the time, all the phishing techniques that are being used, things like that. There’s a whole black science of UX out there to trick you to go do things because they have some data, right?
Joe:
There’s reason HIPAA was set up, right? There’s a very valid reason why HIPAA was set up and needs to be needs to be respected and done because of the bad that you could do with that data they aren’t governed correctly. So we treat governance with data incredibly, incredibly important. It’s at the top of what we do in all of that governance. We know we have an ethics board. We have our chief data officers constantly making sure that we are using data in an ethical way. And that it really truly not only is just ethical, it’s got to be valuable. It’s got to be something valuable for our clients and our customers. Otherwise, it’s just data.
Mark:
I’d like to shift gears a little bit for the last few questions. Delivering data in the flow of work, the whole notion of in the flow of work is gaining a lot of traction. A lot more vendors are exploring ways to present their products that way. Does that pose any particular challenges for a data service or is it better? What’s your response to it?
Joe:
Yeah. There’s a fascinating thing that I learned, again back in the early 2000s, I worked at a company that we decided at the time Google had come up with Appliance, right? That you could put inside your internet and all of sudden you could use as a search engine localized to your internet. We put the Appliance up there and it didn’t perform well at all. We let it run. We let it run for a couple of months and it kept getting data. It could never, the finds were just not good. They weren’t even close to what you would get on the internet. And what we learned from the Google data scientist at the time was the reason that the internet is so valuable as a search tool and so accurate, is because it has so much heterogeneous dat. Data that doesn’t appear related but in a way is, and that heterogeneous data gives us a much greater chance of finding that needle in the haystack that you’re looking for.
Joe:
Whereas inside of a company, it all looks like the same thing, give me the latest dev report, give me the latest financial report. It’s more of a monocosm of stuff, and therefore you couldn’t find things. As we start meeting people on the go, where they are, we now have the chances for other types of data to improve that. Now depending upon where you land on the privacy of knowing where you are, geofencing and things like that, there’s a lot that can be done by knowing where you are. The question is by knowing where you are could you also use that for nefarious means? Yes, I guess so. Sure.
Joe:
So you’ve got, I think the real challenge is, as we learn all this new data, what’s right to keep and what’s right not? And that’s not necessarily our choice, right? That needs to be our client’s choice of what’s valuable because again, going back to the creep line, if I know where you are and I can offer you this new service, it should be your choice, whether you want to exchange that data for that service. Not we’re going to take this all from you.
Joe:
Companies have gotten in trouble in the past. We’re going to take this data. We’re going to read where you are and not tell you, and we’re going to give you a great product. Even if it may benefit you, the fact that you took that without my knowledge makes me suspicious that you may take it to do something else. And I think we’ve got to be really, really careful that having an honest conversation, a full disclosure and a strong ethics policy behind your data is really going to make the difference. Now with that in place, now I can meet people where they are. I can see where they are. I can get a lot more information.
Joe:
A great example. One of our customers has a lot of field workers, right? And they have their phones on, they got GPS on their phones. If they want to transmit their GPS information, great, they’ll be great. They can do it. We can tell when they’re going to clock in, when they’re going to clock out and maybe even clock them in automatically. So we get rid of the single biggest call, to most HR departments, is I forgot to clock in. Can you clock me in? I forgot to clock out. Can you clock me out? Something as simple as that, just by turning on GPS location. Is that valuable or not? Well, that’s kind of a client thing, isn’t it? You tell me. Is it something you want to exchange for that? Then I have put governance about what I’m not going to do with that data. That’s just as important. And maybe I’d say is even more important. Because just because I have the data doesn’t mean I can use it however I want. I’ve got to use it in a prescriptive way,
Mark:
Joe. Thanks very much. Really appreciate it.
Joe:
My pleasure, Mark. Thank you.
Mark:
My guest today has been Joe Kleinwaechter, the vice president of global UX for ADP. And this has been PeopleTech, the podcast of the HCM Technology Report, a publication of RecruitingDaily. We’re also a part of Evergreen podcasts. To see all of their programs visit www.evergreenpodcasts.com. And to keep up with HR Technology, visit the HCM Technology Report every day. We’re the most trusted source of news in the HR tech industry. Find us at www.hcmtechnologyreport.com. I’m Mark Feffer.
Tech & Innovation Blog
Life @ ADP S2EP2: No One Ever Forgets Their First Job
Life @ ADP, Career Advice, What We Do
A podcast episode for rising seniors looking for internships and first jobs. Come to the ADP booth and learn about the six-week extended GPT Development Program.
Life@ADP Season 2 Episode 2: No One Ever Forgets Their First Job.
And…caps off, class of 2022, congratulations!
For rising seniors, it’s your turn to walk across the stage next year. Not sure about where to begin your career? Are you looking for a place to grow and apply learned knowledge? We recorded a podcast episode for you.
Our hosts invited Lisa S., Senior Director of Talent Acquisition, on the most recent podcast episode to share insights for undergraduates and master’s students looking for an internship before entering the professional world.
ADP Recruiters at Campus Recruiting Event
In the podcast episode, Lisa introduced the Global Product and Technology Development Program, a training program designed for students to connect and learn from tech professionals at ADP.
“The students will go through a full-time, ten-week internship program with us in the summer. They will get an opportunity to work on meaningful projects, delivering results to showcase if they are a good fit for our organization,” said Lisa. “We have an amazing opportunity for software engineering and computer science major students.”
The goal of the internship is to convert the students to full-time hires through Global Product and Technology Development Program, a six-week training to begin their career at ADP. You will also hear Lisa’s advice for candidates attending fall campus recruiting events. Listen to the full episode now.
Here are three tips from our campus recruiters:
#1 Add Keywords to your Resumes
Make sure you read every job description carefully and select the exact keywords for your resumes. Using the same keywords will make your profile stand out, recognizing a match and listing you as a top match.
#2 Practice your 30-second Elevator Pitch
You may only have 30 seconds to make a first impression, so come prepared! What defines you? What are your strengths? What roles are you interested in learning? Your elevator pitch will help recruiters remember who you are and what you are looking for in the company.
#3 Do Your Research
Recruiters know when you’ve done your homework! Come with a list of questions to show your interest. Make sure to view the current job openings and register (if any) before attending an event.
Apply these tips as you prep for the upcoming recruiting events. If you attend this year’s Grace Hopper Celebration, bring a copy of your resume, and stop by ADP’s booth. Let’s connect!
Interested in our Campus programs or ready to start your next chapter?
We give the students the tools and technology they need to succeed. The recruiters don’t expect interns to know the same programming language or tech stack. We are proud to support every individual through the learning process and are here to provide growth opportunities. Have no fear!
Learn more about what it’s like working for ADP here and our current openings.
Life @ ADP is available on iTunes, Spotify, Google, iHeartRadio, and Amazon Music.
Further reading: Career Fair: Perseverance is the Key in Job Hunting.
Tech & Innovation Blog
Why One Should Consider Virtual Mentorship
Innovation, Voice of Our People, Career Insights
Whether the virtual mentorship occurs in video conference rooms or through emails, the experience can be an invaluable tool for career growth and personal development.
Why One Should Consider Virtual Mentorship
By Steve R., Lead Major Incident Manager
It can be challenging to find time to invest in professional development in today’s ever-changing, fast-paced world. Whether you’re just starting in your career or currently working in a leadership position, we can all benefit from having guidance and support in professional life. That’s when virtual mentorship becomes helpful.
What is Virtual Mentorship?
The term “virtual mentorship” may sound like a new concept, but it simply refers to mentorship that takes place online. It allows people to connect with mentors they might not otherwise have access to, and it provides a flexible way to receive mentorship when in-person meetings are not possible. This type of mentorship can benefit both parties as the setting naturally allows for more flexibility and accessibility. Whether the mentorship occurs in video conference rooms or through emails, the experience can be an invaluable tool for career growth and personal development.
Why Consider Mentorship?
Great leaders have two extraordinary traits: an open mind and empathy towards difficult situations in teamwork. Like all ADP associates, I am encouraged to expand my skillset and strive toward self-improvement, using all the available resources and tools. This mindset has led me to participate in the mentorship program at ADP, where I met role models who demonstrated best practices at work.
Depending on the goal, mentorship may consist of a one-time consultation or multiple re-occurring sessions. An associate may also have more than one mentor over time as needs and career paths change.
I recently completed a few months’ worth of mentoring sessions with a VP from the senior leadership team at ADP. We had worked together briefly on past projects but hadn’t spent significant one-on-one time together. I learned we would be a good match for the mentor/mentee program based on the strengths that I wished to explore and her area of proven expertise. I soon initiated an informal mentoring process, and we began working towards my professional goals from there.
For those who don’t have a particular choice of mentor in mind, I recommend associates sign up for ADP’s formal mentor-matching process using MentorCliq software, a resource page consisting of a series of questions regarding mentee expectations and needs, and areas of interest.
Steve and his wife Karen
Three Best Practices in Virtual Mentorship
Since my mentor and I were in two separate locations, we used Webex Meetings throughout the process. Through face-to-face conversations are typically preferable, the virtual setting offered a level of comfort for me.
I came prepared with discussion topics and specific questions each time we met. The virtual option vastly expands the range of choices for mentoring connections. Associates are no longer limited to mentorship choices within the same office, and there are endless opportunities for a good mentor/mentee match. The virtual option is especially beneficial for full-time associates who work from home and across different time zones.
#1 Set Timeline and Goals
The number one thing to consider is to plan for the call. My mentor and I met bi-weekly, getting familiar and discussing each other’s career paths; past, present, and future. For those who read my previous blog on my career journey, I focus on a leadership-focused career path and set my goal to be joining a part of ADP’s senior leadership team in the future. I learned from my mentor that the ADP ecosystem offers a multitude of communication-based career paths, which provide leadership opportunities. As communication is not only a strength for me but also something I enjoy, my excitement has grown, and I look forward to what lies ahead.
#2 Transparent Communication
My mentor was kind, patient, and willing to help me grow. During our virtual time together, I never felt that I had less of her attention and personal investment in the conversations. We made a professional connection, and she genuinely cared about my success, making our time together more than worthwhile. I wouldn’t say the virtual setting presented many challenges for us. If anything, it made communications more accessible and working together flexible, meaning talking about expectations and going over company resources.
#3 Listen and Be Ready to Learn
Conflict in the professional world is inevitable. During my mentorship experience, I had an instance where I had different opinions from a fellow associate. While I had consulted with my leader on the best way forward, I sought advice from my mentor. She was insightful and shared examples of similar experiences in her past.
Her understanding, empathy, and professional leadership gave me support. The input I received allowed me to consider factors that I had not before to refine the solution I’d been working on and make team communication more effective. Not only did both my team leader and mentor’s verbal feedback help me resolve the conflict, but it also led me to form a stronger bond with the other associate.
Embrace the Feedback 
One piece of advice for future associates is to take full advantage of the mentorship program or any organic mentorship opportunities. The availability to build upon the foundation of experience led by tenured ADP associates is priceless. Simply reaching out to a leader and expressing your interest in learning and working together would be a great start.
My virtual mentorship experience has allowed me to gain insight and perspectives from my mentor leading different teams. Having the opportunity to seek out non-biased input from others is always refreshing. I look forward to leveraging my own experiences and knowledge to guide other associates, whether with career development, conflict resolution, or personal growth. When given the opportunity, I will be participating in the ADP mentorship program in the future, and next time, as a mentor!
Discover your potential and join us.
Click here to search for your next move and visit Who We Hire.
Tech & Innovation Blog
Is Data Science the Right Career for You?
Voice of Our People, Career Advice, Career Insights
Data Science is perfect for you if you enjoy storytelling and solving complex problems with data.
Is Data Science the Right Career for You?
Mark P.
By Mark P., Lead Data Scientist, Product Development DataCloud
As a Data Scientist at ADP, I use workforce data to tell stories, using curiosity to analyze and display the data. In this blog, I’ll share my observations of experiences and trends in the growing field of data science.
According to the U.S. Bureau of Labor Statistics, data science will continue to grow, and the number of jobs is estimated to increase by 28% through 2026. In other words, data scientists are in demand, and our role will continue to impact many industries.
What comes to mind when you hear “data science”? Numbers and graphs? Machine learning and big data?
Let’s dive into a quick definition.
What is Data Science?
My perspective on data science was shaped years ago. People started referring to themselves as data scientists and posting jobs for “data scientists” around the same time that machine learning with big data was spreading to industries and companies beyond tech.
I view data science as the methodical analysis of an extensive dataset to understand a subject of interest. Machine learning is a powerful means of such analysis, but not the only one. I focus on a different area, writing query code and dynamic calculations to produce interactive visualizations. To me, the significance of big data is more of a spectrum than a boundary. Science is a systematic study for understanding, and we can understand things with smaller amounts of data too. But big data like ADP has made the insights and applications deeper and more reliable.
Pragmatically speaking, data science can be whatever an employer considers it and communicates through the specific skills they seek. No definition of data science can replace an employer’s expectations, the candidate’s expression of their experience, and conversations about career fit and advancement. With evolving technologies and models, there are a growing number of opportunities in this career. As a Data Scientist at ADP, it is certainly rewarding to have occupational, organizational, and demographic facts on over 30 million US workers to explore – anonymized of course!
Mark and his niece
Top Trends in Data Science
Currently, two of the most visible trends in data science are cloud-based development and the advanced application of natural language processing (NLP).
Cloud-based platforms and services such as Amazon Web Services and Databricks make it easier to source data, develop analyses and models, collaborate with colleagues, and deploy products. We work closely with these partners and have often spurred innovation in their products as we expand our capabilities.
NLP has many current and potential applications in human capital management, including client support, occupation and skill classification, job posting development, and candidate recruitment. Since jobs are diverse, overlapping, and constantly evolving, building and maintaining comprehensive, systematic knowledge can be challenging. NLP can make our solutions more scalable and data-driven than classifications created by human experts alone.
Day in the Life as a Data Scientist
My research on restaurant employment and wages during the COVID-19 pandemic represents many common day-to-day components of data science work. While it is well-known restaurants were one of the most heavily impacted industries, ADP data shows some cities fared better than others. You can see this in the 18-month employment trends for 3 of the largest 50 US metros.
Visualizations like these are the tip of the iceberg: the most visible part of the work requires much more underneath. In addition to conceiving and developing metrics, models, and graphics to create knowledge, data scientists need to find good data sources and write code to retrieve and process their information. They need to understand the limitations of their sources – things like sample bias, predictive labels, outright errors – and communicate and correct them.
Restaurant employment change, monthly since Jan 2020
And data scientists need to query people as well as data! For example, interviewing local restaurant association executives for their expert perspectives and calling US Bureau of Labor Statistics economists to discuss statistical methods.
How can I gain experience in Data Science?
If you are interested in data science, you can find a ton of resources, including boot camps, online courses, Medium articles, and YouTube videos. If you look up #datascience on TikTok, it has 89 million views! Of course, classes are a great way to acquire vital education, but they can be a significant investment in time and money. You may wish to test your interest with a project that involves either a question you’d like to answer or a problem you’d like to solve. You’ll gain not only motivation but also a proof point to share with potential employers.
As an example, when 2020 presidential candidate Andrew Yang proposed a universal basic income, I was curious to know who might benefit from $1k a month and how to quantify the benefits objectively. I searched for household spending data, turned up relevant data and code from the Bureau of Labor Statistics, and then used free versions of SAS and Tableau to create a public dashboard to answer that question.
Data Science Team at ADP
I’d advise anyone interested in data science to follow their curiosity and search the web for public data and free tools. You’ll face technical challenges along the way, but sites like W3 Schools and Stack Overflow can help you tackle them as they arise. Of course, many people prefer the structure of classes to an open-ended, “many-options-no-right-answer” type of project. The former is fine – but if you can take the leap and try the latter, you’ll gain a good experience of what real-world work is often like!
Final Thoughts
Data Science is a great option if you can:
- Think creatively and enjoy solving complex problems with data
- Problem-solve in a team environment
- Communicate effectively in programming languages
Three self-examination questions for Data Scientists interested in ADP:
- Does working with one of the most comprehensive employment data sets excite you?
- Are you inspired by transforming the understanding of and opportunities for millions of workers?
- Are you a technologist who continually breaks down challenges, champions creative approaches, and collaborates routinely with a diverse team of professionals?
Interested in a career in Data Science? Let’s work together!
Learn more about working at ADP here and our current openings.
Tech & Innovation Blog
Hacking the Future of STEM with iWIN EMPOWER and GirlsHack
Diversity, Equity, and Inclusion
We thank the EMPOWER committee and members who generously donated their time to make this event successful.
Hacking the Future of STEM with iWIN EMPOWER and GirlsHack
In celebration and recognition of International Women’s Month, ADP’s International Women’s Inclusion Network (iWIN) Business Resource Group (BRG) sponsored GirlHacks 2022 Hackathon event at the New Jersey Institute of Technology (NJIT). GirlHacks 2022 was a 36-hour women-centric hackathon that featured motivational speakers, discussion panels, and mentoring programs created to inspire women and support advanced career growth.
The event was an initiative propelled by the iWIN EMPOWER Committee. With core values of inspiring innovation and social responsibility, many ADP iWIN BRG members volunteered to participate in the event. In addition to providing tech guidance during the hackathon, our associates engaged students in thought-provoking discussions about the GPT Development programs, summer internship positions, and work opportunities across ADP.
GirlHacks at New Jersey Institute of Technology
“With a commitment to growing opportunities for women in STEM, the iWIN Empower BRG is proud to offer insight and guidance to new technologists, even before they begin their careers,” said Aini Ali, Vice President of Major Accounts Operations at ADP. “This event aligns closely with our mission to provide tools, guidance, and a network for women and children of all ages to reach new heights of success in STEM careers. It was an amazing experience too.”
The first-place winner of GirlHacks 2022 was Imposter Bubble, a mobile app inspired by the idea submitter’s own experiences with Imposter Syndrome (IS). IS refers to an internal experience of believing you are not as competent as others perceive you. 75% of executive women identified having experienced IS at various points during their careers. Imposter Bubble provides positive, powerful affirmations to women, helping them process their negative thoughts. The application was built using Flutter, a cross-platform app development framework by Google that allows the same codebase to develop apps for iOS, Android, and web platforms. Learn more about the Imposter Bubble and other submissions on Devpost.
ADP iWIN BRG would like to thank the EMPOWER committee and members who generously donated their time to make this event successful. ADP is committed to Diversity and Inclusion. We encourage you to learn about the fantastic opportunities for collaboration and partnership our BRGs offer.
Join our community!
Click here to search for your next move and visit Who We Hire.
Tech & Innovation Blog
Devi R., Senior Director of DevOps, Builds Products with Empathy
Women in STEM, Voice of Our People, Innovation
“STEM, to me, is beyond degree and credentials. It’s about applying and leveraging engineering knowledge and empathy toward every product.”
Devi R. is a technologist who enjoys exploring the world and inspiring others. She joined ADP in 2020, building the ADP’s flagship MyADP with her team in Global Products & Technology. She’s been to 54 countries and all seven continents. Devi loves traveling to South Africa for natural scenery and Portugal for the history, art, architecture, and food!
Coming to ADP
Engineers build products with a purpose in mind and the goal of designing for people. I came to ADP with that mindset and found myself in a place that shares the same value.
I have been a consumer of ADP’s payroll product since 2006, so I was excited to hear about the MyADP business app project and took the opportunity right away. I thought, “I want to work on this!” It’s been two years since I came to ADP, and I’m incredibly grateful to be in a culture that values every voice.
I lead the MyADP Product SRE & DevOps teams within Global Products & Technology. For those unfamiliar with MyADP, it is a global, high traffic and volume unified UX web/mobile solution using Cloud technology. Our product is in the Top 10 business applications in the app store. Millions use the product to perform human resources, financial services, onboarding, performance management, payroll, time & attendance, benefits, retirement services, etc.
If I asked myself how my passion began, I’d say it was the endless possibilities in the field that continue to inspire me, including innovation awaiting discovery. When it comes to DevOps, I appreciate the opportunity to perform transformation across various products because it motivates me to strive for better results with my team.
Day In Life as Senior Director, DevOps
To give you an overview of my day, we get an average of between seven to 10,000 transactions every second on our product platform. My team keeps track of the error rate, meaning even 1% can be a considerable number in this user pool. The task makes my role as a technologist critical. It’s no longer about the technical skills that determine if someone is qualified; instead, it’s about empathy for what one is building.
Behind every product my team makes, we understand there are real users and the real impact the product brings to their lives. As a technologist, I make sure the technology is practical and human-centered. With a large amount of data and information, I am proud to say we handle data with security, precaution, and care. We use the data to help people, making user privacy our top priority.
STEM, to me, is beyond degree and credentials. It’s about using engineering knowledge and empathy toward every product. I stay at ADP, where I surround myself with associates who value client feedback and user experience.
Devi and her husband in Antarctica
Women in STEM
With various tech roles in the industry, I recommend young technologists invest in education and explore as many options as possible in life. The field continues to evolve and challenge the leaders with innovation, changes, and automation.
All the elements above make working as a woman technologist meaningful. I remember serving as one of the women and telecommunication junior board members for a year in my previous company. We collaborated across the nation to understand and research women technologists’ career paths at that time.
Six of us dove into why there are not enough female technologists in the field and quickly learned that many young girls get distracted from pursuing STEM early in their education. The first drop in interest in Tech happens between middle school and high school. We saw a 70% decline in enrollment to 10% by the end of that period. I encourage educators and technologists to inspire young girls, especially at around 8th grade in middle school; the earlier, the better.
As we did more research, the 10% enrollment in STEM when they first enter college drops further by the time they reach junior year. I had the same experience and recalled being one of 15 girls out of 100 students in the classroom. By the time I graduated, there were only three of us left. I kept thinking this would change over time but soon realized we are not there yet. Research conducted by the American Association of University Women (AAUW) shows why gender gaps are particularly high in the computer science and engineering fields. Download the Why So Few Women in STEM Report here.
Devi at Miscanti Lake near Atacama in Peru
Experience the Reality in the Industry
So, what can individuals do to help close the gender gaps in STEM?
I am passionate about finding out what and how to make young talents focus on STEM early in their career, including providing the right tools, giving concrete advice, and demonstrating the reality in the industry. If you are a student or a recent college graduate, check out our campus programs here.
ADP offers a Development program where young talents get an opportunity to meet with leaders and understand our products. Some of them already have a STEM career, and we provide a taste of the real world before hiring them at the end of the program to become full-time associates.
I’m motivated to mentor these recent college graduates and show how much impact their decision to pursue Tech can bring. When facing intersections in their choices, I tell the young women technologists to try everything. It’s essential to understand what interests you and remember that true passion brings you further in life.
Whether building a product or entering a new career track, I encourage you to be empathetic towards the people you work with, creating a product for everyone.
Interested in a tech career at ADP?
Click here to search for your next move and visit Who We Hire.
Tech & Innovation Blog
ADP Selected to Top 50 by Woman Engineer Magazine
Diversity, Equity, and Inclusion
We thank all of our associates who actively support the creation of rewarding opportunities across ADP.
At ADP, we are committed to driving diversity by providing opportunities for everyone to nurture and grow rewarding careers, ensuring everyone has a voice. We’re proud to offer the best opportunities to work and develop industry-leading technology and HCM solutions.
We’re happy to announce that the culture our associates help to create has made ADP a Top 50 Employer by the readers of Woman Engineer Magazine for the third consecutive year.
Each year, this professional publication surveys women in engineering, computer science, and information technology, asking ADP associates to select companies that provide the most positive working environments for women and position those organizations as highly preferred workplaces.
ADP Tech Associate
The Top 50 list features companies that champion, hire, and promote women engineers with an understanding to value an inclusive, diversified workforce. This award reflects ADP’s strong reputation for supporting career development and opportunities across the teams.
Our Global Product and Technology (GPT) organization aims to set industry benchmarks and has adopted measures that continue to drive progress. Our teams built the ADP DataCloud Diversity, Equity & Inclusion (DEI) Dashboard to help companies see real-time workforce demographics, which was named the Top HR Product of the Year. This effort joins other products that promote diverse workforces, including our Candidate Relevancy tools and the award-winning Pay Equity Explorer.
ADP Associates in Brazil
ADP also supports philanthropic organizations that nurture the career development of girls and women in the technology field, helping them fulfill their potential as future tech leaders. Our partnership with Girls Who Code and Women in Technology has led to other significant distinctions, such as being named to the Women Impact Tech 100 List, Top 50 Best Workplaces for Women in India, and the 2021 Top Large Company for Women Technologists by AnitaB.org, also marking the third consecutive time ADP earned this achievement. This is on top of our Business Resource Groups and opportunities to share innovative ideas with company events such as the ADP Global Hackathon.
We thank all our associates who actively support the creation of rewarding opportunities for individuals across ADP. Our technology is better because we work together, and Each Person Counts.
Interested in a tech career at ADP?
Click here to search for your next move and visit Who We Hire.
