Feature Stores as Strategic Infrastructure: A C-Level Playbook for Governance, Scale, and ROI

Feature stores are often described as a technical layer for consistency and reuse—but for leaders they must become a strategic control point that unlocks reliable, auditable ML at scale. In this focused monologue Mirko translates the engineering details of feature stores into executive decisions: ownership and operating models, trade-offs between centralization and productized domains, metadata and lineage as audit-ready controls, latency and freshness versus cost, and metrics that tie feature investments back to business value. Using pragmatic examples and common failure patterns, the episode gives C-level leaders and senior data practitioners a concrete playbook to prioritize features as products, set SLAs and incentives, govern access and provenance, and measure ROI. The goal: actionable governance and investment guidance so feature infrastructure stops being a source of fragility and becomes a sustainable engine for predictable AI impact.Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.