Data Product Management in Action: The Practitioner's Podcast

About Data Product Management in Action: The Practitioner's Podcast

Welcome to The Data Product Management Podcast, where the complexities of product management in the realm of data are unlocked with expertise from practitioners, and only practitioners. Tired of the struggle to find practical insights amidst the chaos? This podcast is your reliable source for candid discussions with real professionals who navigate the data product landscape daily. Our podcast dives into the trenches of data product management, exploring everything from for AI/ML, data products, data platforms, BI, and beyond. Through engaging interviews, we uncover the nuts and bolts of product discovery, prioritization, cultural change management, and stakeholder alignment. Forget the abstract theories; tune in to hear the hard-won insights of hands-on practitioners. Data product management may be challenging, but with this podcast and its guidance, it's about to become a lot less confusing. Tune in and let's navigate the data-driven future together.

Publisher

Soda Data

Category

business · technology

Language

en

Explicit

No

First episode

20 Jun 2024

Latest episode

26 Feb 2025

Latest episodes

34 episodes in the feed.

1. 

   26 Feb 2025

   S1 Ep#34: The Future of Data Mesh

   S1 Ep#34: The Future of Data Mesh The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 34, Join host Michael Toland as he welcomes Tom DeWolf, a data mesh expert with a PhD in distributed systems and years of experience in software engineering. Tom shares insights from his four-year journey in data mesh, emphasizing the need for self-service in data products, the benefits of an evolutionary architecture, and the challenges of governance in multi-organization environments. He also discusses key lessons from past failures, highlighting the critical role of user engagement in building successful data ecosystems. Don't miss this deep dive into the future of data management! About our Host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. He has worked in product officially since 2016, where he worked at Verizon on large scale system modernizations and migration initiatives for reference data and decision platforms. Outside of his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors fellows with Venture for America, sings in the Columbus Symphony, writing satire posts for his blog Dignified Product or Test Double, depending on the topic, and is excited to be chatting with folks on Data Product Management. Connect with Michael on LinkedIn (https://www.linkedin.com/in/mjtoland/). About our guest Tom DeWolf: Tom is an experienced hands-on architect and serves as the innovation lead, spearheading new innovative initiatives for ACA Group. His expertise lies in data mesh platform and platform engineering, leveraging his background in software engineering and experience in designing various architectures, including software, microservices, data platforms, evolutionary architectures, among others. Tom is the founder and host of Data Mesh Belgium meetup and the new Data Mesh Live conference, and active Data Mesh community thought leader. Connect with Tom on LinkedIn (https://www.linkedin.com/in/tomdw/). All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

2. 

   21 Feb 2025

   S1 Ep# 33: Bridging Business and Data: The Art of Data Product Management

   S1 Ep#33 Bridging Business and Data: The Art of Data Product Management The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 33, Amritha, our newest host, chats with Sagar Nikam, Head of Product at CK Delta. Sagar shares his journey from finance to data product management, highlighting the art of translating complex AI/ML models into actionable business strategies. He discusses the challenges of defining data products, the importance of clear communication, and why adoption often outweighs accuracy. Sagar also offers insights on handling uncertainty, setting success metrics, and the cross-industry applicability of data product management skills. Tune in for a deep dive into making data-driven decisions that drive real business impact. About our host Amritha Arun Babu: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha on LinkedIn. About our guest Sagar Nikam: Sagar is the Head of Products at CKDelta, leading the development of AI-driven solutions, AI Agents, and intelligent applications that enhance decision-making and automation across industries. With experience in banking, utilities, and SaaS, he has successfully launched and scaled AI-powered products that drive real business impact. Sagar helps product teams seamlessly integrate AI, navigate challenges, and build solutions that are user-centric, explainable, and trusted. Connect with Sagar on LinkedIn (https://www.linkedin.com/in/sagarn136/). All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

3. 

   21 Feb 2025

   S1 Ep#32- Introducing Host Amritha Arun Babu

   The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In this episode of Data Product Management in Action, we introduce our new host, Amritha Arun Babu! With over eight years of experience, Amritha shares her transition from engineering to product management and her impressive journey. She discusses scaling Amazon Today’s same-day delivery program, building code-to-cash products, and her current role at Klaviyo, where she’s shaping AI-driven features and refining ML platforms. Amritha emphasizes the value of understanding user needs, designing secure, scalable systems, and overcoming cross-functional challenges. Her advice to fellow product managers: network, share your experiences, and enjoy the ride! About our Host Amritha Arun Babu: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

2 ratings

Spotify

3.0 / 5

1 ratings

Podcast Authority Score: 55 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

97

Social presence

0

YouTube

0

Engagement

31

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Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.