• Own canonical datasets and definitions across core domains (production, contracting, commissions, compliance, partner performance). • Define and maintain clear metric semantics (including messy “in-between” operational states) so internal and partner-facing reporting stays consistent. • Drive self-serve data access: reduce ad hoc requests, tribal knowledge, and manual lookups by turning repeat needs into scalable data products. • Lead cross-functional discovery with stakeholders across Account Management, Contracting, Support, Compliance, Finance, and Product; translating workflow pain into concrete data requirements and shipped solutions. • Partner with Data Engineering to design durable data models from complex carrier/vendor signals and to improve reliability, monitoring, and data quality where it matters. • Partner with Analytics on dashboard UX and iteration, ensuring outputs are actionable and map to real workflows (not just charts). • Align internal reporting and product surfaces so teams and partners see a consistent “shared truth.” • Own prioritization and execution across teams - balancing speed, accuracy, completeness, and trust.