48 episodes

Data science is booming, but scaling it in the enterprise is hard. The playbook is still being written.

Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world’s most impactful companies.

Each episode features an interview with a leader in data science. We’ll discuss how to build and enable data science teams, create scalable processes, collaborate cross-functionally, communicate with business stakeholders, and more.

Our conversations will be full of real stories, breakthrough strategies, and critical insights—all data points to build your own model of enterprise data science success.

Data Science Leaders is hosted by Dave Cole.

Data Science Leaders Domino Data Lab

    • Technology
    • 5.0 • 83 Ratings

Data science is booming, but scaling it in the enterprise is hard. The playbook is still being written.

Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world’s most impactful companies.

Each episode features an interview with a leader in data science. We’ll discuss how to build and enable data science teams, create scalable processes, collaborate cross-functionally, communicate with business stakeholders, and more.

Our conversations will be full of real stories, breakthrough strategies, and critical insights—all data points to build your own model of enterprise data science success.

Data Science Leaders is hosted by Dave Cole.

    What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmart Global Tech)

    What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmart Global Tech)

    What does it take to turn the latest advances in AI into products that deliver business impact at Walmart levels of global scale?
    Srujana Kaddevarmuth is the Senior Director of Data & Machine Learning Programs at Walmart Global Tech. Her team drives data strategy and grapples with data science productization every day. With millions of employees, hundreds of millions of customers, and petabytes of data at any given moment, Walmart offers some unique lessons in the complexities of building teams, processes, and products to effectively leverage AI at scale.
    In this episode, Srujana shares a few of those lessons, along with her perspective on nonlinear career paths, organizational collaboration and alignment, and her ongoing fascination with what’s next. Plus, she dives into her passion for fostering diversity in data science and tech, sharing strategies leaders can implement to help bring more women into the field.
    We discuss:
    What to prioritize when experimenting with next-gen tech
    How to use “communities of practice” to align your organization
    Solving governance, reproducibility, and knowledge sharing challenges at scale
    Bringing more women into data science 


    In this season finale episode, host Dave Cole also shares his three biggest takeaways from his many in-depth conversations with leaders in data science.
    Stay tuned for a whole new season of Data Science Leaders coming soon! We're just getting started.
    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 41 min
    Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligence Accelerator, Ericsson)

    Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligence Accelerator, Ericsson)

    There’s tremendous value in pure data science research. In an enterprise context, however, it all comes down to how learnings and insights from that research can help advance business growth, customer experience, and product innovation.
    Sunil Kumar Vuppala is the Director of the Global Artificial Intelligence Accelerator at Ericsson. His career journey from a researcher role to data science leadership has given him years of perspective on how ML professionals and their business side counterparts can build partnerships that pay off in both the near and long term.
    In this episode, Sunil shares some of those key lessons on education, communication, and collaboration. Plus, he details a unique MLOps strategy he’s employed to address challenges with scaling model monitoring.
    We discuss:
    How a research background can inform leadership style
    MLOps best practices for scale
    Forming mutually beneficial partnerships between business stakeholders and data science teams



    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 38 min
    Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)

    Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)

    Large enterprises will always have some internal groups that are more change-averse than others. But progress often necessitates change, and how well you navigate the change management process can make or break your success as a leader.
    Michal Levitzky is the Head of Data & Analytics (CDO) at Migdal Group, a leading insurance and finance company in Israel. Michal has spearheaded the introduction of data and analytics functions at multiple organizations, and she knows a thing or two about negotiating the complexities of change management during analytics transformations.
    In this episode, Michal shares her advice for AI leaders driving meaningful change at their own companies. Plus she details her philosophy on structuring data and analytics teams for maximum efficiency and collaboration.
    We discuss:
    Using experience in fields like accounting as building blocks for leadership in data science
    Change management during model-driven transformations
    A structure to enable BI and data science functions to better support each other 


    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 38 min
    A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)

    A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)

    Without a clearly defined methodology, complex projects with multiple technical and business stakeholders often fall apart. The risk is especially high when trying to scale data science work in an enterprise organization. 
    That’s why David Von Dollen, Head of AI at Volkswagen of America, integrated agile methodology with CRISP-DM to help his team navigate roadblocks and accelerate progress on the path to model deployment. He shares how this hybrid approach enables his team to be more strategic about project lifecycles, unlocking real business impact even faster. 
    Plus, David provides advice for building relationships with key business stakeholders and shares his philosophy on using the art of data science to benefit humanity. 
    We discuss:
    Implementing hybrid CRISP-DM and agile methodologies
    Building relationships with stakeholders across the business
    Using data science to solve challenges outside of work      


    Mentioned during the show:
    DataKind     


    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts. 
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 23 min
    Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, Spotify)

    Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, Spotify)

    Even with the recent rise of specialized data science degree programs, top-notch data science talent can come from anywhere. 
    Those in leadership positions have a duty to share their knowledge and support aspiring data scientists, regardless of the unique path that brought them to the field. 
    Sidney Madison Prescott, Global Head of Intelligent Automation (RPA, AI, ML) at Spotify, has made a habit of sharing her expertise and giving back. And in the process, she’s built a personal brand that would inspire future leaders in any industry. 
    In this episode, Sidney shared her career story, offered advice for building diverse data science teams, and detailed her work in robotic process automation at Spotify. 
    We discuss:
    Sidney’s career journey and her guidance for women and people of color in data science
    How a strong personal brand can open doors to opportunities in tech
    Why data science leaders should care about robotic process automation  


    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts. 
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 31 min
    Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)

    Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)

    Model governance is vital, especially in heavily regulated industries like insurance.
    Strong governance can help ensure that key models are reproducible, explainable, and auditable—all important factors for both internal model development workflows and for external regulatory compliance. But the best governance strategy isn’t always obvious.
    Anju Gupta, VP Data Science & Analytics at Northwestern Mutual, is a big believer in establishing model governance practices early, and she shares her thoughts on the topic in the episode. Plus, she talks about some surprising roles on her data science team and the unique value that comes from pairing actuaries with data scientists.
    We discuss:
    How to establish scalable model governance practices
    The intersection of actuarial work and machine learning
    Roles you didn’t know you needed on your data science team


    Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
    Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

    • 30 min

Customer Reviews

5.0 out of 5
83 Ratings

83 Ratings

JustReviewer ,

Dave, please stop repeating…

This is a very helpful and informative podcast. It will be even better (and may be will be 50% shorter) if the host stops repeating the guests (often times without adding any value to what the guest has already said).

ASobering ,

Entertaining, insightful, and actionable! 🔥

This podcast is so insightful and I’ve enjoyed every episode I’ve listened to so far! Dave is a very skilled interviewer - he does such a great job of sharing his own wisdom and I love how he leads meaningful conversations with data science standouts who bring so much experience and actionable insight to the table. Highly recommend checking this show out - you won’t be disappointed!

lindathecrumpette ,

Great resource

Whether you are a data scientist, a data scientist leader or an IT leader, you will learn something in each and everyone of the Podcasts from Domino Data Lab. Come join the fun.

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