Why Every Company Needs a Data Platform Strategy

In this episode of Data Analytics Chat, host Ben Parker interviews Manoj Mohan, an engineering executive with experience at Intuit, Meta, Apple, and Cloudera. Manoj shares his journey from software engineering to data leadership, offering invaluable insights into building resilient data platforms and driving innovation in the world of data and AI.Manoj discusses pivotal moments in his career, the challenges of moving from technical roles to leadership, and the importance of learning from both successes and failures. He emphasises the need for a data platform strategy over simply assembling a stack of tools, and shares practical advice for newcomers and leaders alike. The conversation also covers the pitfalls of focusing on quick technology wins, the critical role of governance, and how to future-proof your data strategy in an era of rapid AI advancement.00:00 Treating Data as a First-Class Citizen01:19 Welcome & Guest Introduction01:46 Manoj’s Career Journey & Background02:45 Transition from Software to Data Engineering05:06 Moving into Engineering Leadership07:11 Advice for Newcomers: Learning & Unlearning09:12 Defining Moments in Manoj’s Career12:05 Lessons from Career Setbacks15:03 The Importance of Data Platform Strategy17:18 Data Stack vs. Data Platform Strategy21:06 Evaluating and Choosing Data Tools24:04 Why Companies Buy Tools Instead of Building Strategy27:13 Real-World Example: Great Stack, Failed Strategy30:00 Governance and Business-Tech Alignment33:00 Building a Scalable, Future-Proof Data Platform36:00 The Role of Data Platforms in AI & Innovation41:00 Final Thoughts & FarewellThank you for listening!

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