Data Strategy Lead
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- Connect business priorities to data capabilities and a target operating model
- Turn the strategy into trusted platforms, metrics and self-service
- Create measurable value and lead organization-wide data transformation
Benchmark: Apple + Amazon enterprise data-strategy leadership roles (Sep 2026): own multi-quarter data strategy and roadmaps; align business priorities to modern data architecture, data products and AI-ready foundations; establish governance, quality, lineage, canonical metrics and semantic layers; drive self-service adoption, data fluency and measurable business value.
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Connect business priorities to data capabilities and a target operating model
Business outcomes, use cases + data-value thesis
Coverage: Strategy Development / Data Strategy / Decision Intelligence / KPIs
Target architecture, domain ownership + data products
Coverage: Data Architecture / Data Mesh / Data Product Management / Lakehouse
Turn the strategy into trusted platforms, metrics and self-service
Governance, quality, ownership + data reliability
Coverage: Data Governance / Data Quality / Stewardship / Observability
Semantic layer, canonical metrics + self-service analytics
Coverage: Data Modeling / Semantic Layer / BI / Metric Governance
Create measurable value and lead organization-wide data transformation
Data products, monetization + portfolio economics
Coverage: Product Strategy / Data Monetization / Analytics / Business Cases
Data literacy, executive influence + adoption
Coverage: Data Literacy / Executive Communication / Change & Adoption
Role-Readiness Proof / Capstone
Create a 12-18 month enterprise data strategy: current-state and maturity assessment, business outcomes and value cases, domain/data-product map, target architecture, governance and stewardship model, canonical metrics and semantic layer, quality/reliability SLOs, self-service and data-literacy plan, platform funding roadmap, adoption metrics and an executive ROI scorecard.
Proof Rubric
- Tie business outcomes to data capabilities
- define a coherent target state
- make ownership and trust explicit
- standardize metrics
- show architecture and governance tradeoffs
- prioritize investments with value and risk
- quantify adoption and ROI
- communicate a decision-ready roadmap to senior leaders