• Develop and maintain a data strategy roadmap that aligns data initiatives with business goals, accounts for dependencies, and evolves through continuous iteration as needs change • Partner with stakeholders to identify high‑value opportunities where improved data availability, consistency, or productization will accelerate decision‑making and reduce friction for teams • Define success measures and track progress using meaningful metrics (e.g., adoption, usability, reliability, and business outcomes where applicable) • Help define and communicate clear data product concepts , including intended consumers, usage patterns, and lifecycle expectations (e.g., documentation, reliability, discoverability, and interoperability) • Translate business needs into actionable product requirements and collaborate with engineering/ architecture partners to shape feasible delivery plans • Drive internal adoption by ensuring data products are understandable and usable for intended consumers (training, enablement materials, feedback loops) • Serve as a connector between Finance stakeholders and technical teams to align on priorities, sequencing, and tradeoffs while maintaining clarity on scope and expected value • Coordinate work across related functions (e.g., data governance, data engineering, analytics enablement) to reduce duplication and improve consistency in shared data assets and definitions • Contribute to portfolio-level governance by supporting decision forums with clear options, risks, impacts, and recommended paths forward • Partner with Data Governance and other control stakeholders to ensure data strategy and data products align with enterprise expectations for security, compliance, and appropriate use • Incorporate pragmatic expectations for data quality, documentation, and stewardship so that products remain trusted and support repeatable decision processes