• Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.
• Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
• Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
• Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
• Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
• Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
• Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
• Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.