Market Access AI & Data Management Lead

Main Responsibilities

• Serve as the Data Management Lead (DML) for the Market Access & Pricing domain serving as the governance lead for data asset development.
• Lead the AI-Ready Data progression for Market Access & Pricing data assets, driving the Medallion certification process across all domain data assets.
• Own the business metadata, semantic layer, and ontological definitions for Market Access data.
• Coordinate the development of the semantic layer with Digital and Data Engineering teams.
• Lead data governance for the Market Access & Pricing domain, establishing and maintaining data standards, definitions, ownership, and stewardship processes.
• Own data quality oversight for Market Access data assets, defining data quality rules and thresholds.
• Establish a playbook for audit readiness.
• Provide recommendations on tools and platforms that support data management, governance, metadata cataloging, and AI-readiness.
• Partner with the Analytics Product Manager and Data Engineering team to ensure that data products published to the enterprise data mesh are built on well-governed, AI-ready foundations.
• Coordinate with Contracting, Government Pricing, Finance, and Access Strategy stakeholders to understand how they want to utilize Market Access data.
• Stay current on emerging data management practices, AI-readiness frameworks, and enterprise data tooling.
• Ensure proper evaluation frameworks are in place to steer AI-systems to more accurate results.

Basic Qualifications

• Minimum of 5 years of experience in data management, data governance, analytics, auditing, or a related field within pharmaceutical, life sciences, or a similarly complex regulated industry.
• Hands-on experience with data governance frameworks, metadata cataloging, or data quality management.
• Bachelor's degree required.

Preferred Qualifications

• Familiarity with enterprise data platforms (Snowflake, Databricks, or similar) and data mesh concepts preferred.
• Experience working within or alongside agile delivery teams (Scrum, SAFe, or similar) preferred.
• Exposure to AI/ML data requirements and what makes data "AI-ready" preferred.
• Advanced degree preferred but not required.

Professional Skills and Competencies

• Strong understanding of data governance principles; data quality, metadata management, data lineage, access control, stewardship, and audit readiness.
• Familiarity with AI-Ready Data frameworks.
• Business acumen in pharmaceutical Market Access, GTN, contracting, or pricing.
• Experience evaluating and working with data management and governance tools (e.g., Informatica CDGC, Collibra, Alation, dbt, dagster, airflow, or similar).
• Working knowledge of Jira and Confluence is a must.
• Strong cross-functional coordination skills.
• Structured thinker and clear communicator.
• Detail-oriented with a high standard for accuracy.