Associate Director, Commercialization Reference Data

Summary
The Associate Director, Commercialization Reference Data is responsible for executing enterprise data product and data governance strategy for reference data domains across the Commercialization ecosystem. This role ensures that Customer (HCP/HCO), Product, and related reference data are delivered as trusted, high‑quality, and well‑governed data products supporting analytics, AI/ML, reporting, and omnichannel activation.

Responsibilities

Execute enterprise-defined data product and data governance standards for assigned commercial reference data domains.

Deliver and maintain certified reference data products to support enterprise reuse.

Define and implement governance standards including ownership, stewardship, business definitions, classifications, and approved usage.

Embed privacy, consent, licensing, and retention requirements directly into data products and consumption workflows.

Define MDM mastering standards including match/merge, survivorship, hierarchies, affiliations, and identifiers.

Ensure mastered output is delivered as consistent, enterprise‑ready reference data products.

Define and monitor domain‑specific data quality controls and performance thresholds.

Coordinate root‑cause analysis and resolution of data quality issues impacting commercial use cases.

Ensure reference data products are fully documented and published in the enterprise data catalog.

Enable governed self‑service consumption while promoting use of certified enterprise data assets.

Execute governance controls for third‑party reference data including licensing, redistribution, and retention obligations.

Coordinate vendor onboarding, feed changes, and ongoing quality monitoring.

Measure adoption of certified reference data products across commercial analytics and activation use cases; improve and stabilize data quality scorecards and SLA adherence; reduce duplicate or conflicting reference datasets; ensure compliance with access controls, licensing terms, privacy requirements, and retention policies.

Qualifications

Bachelor’s degree in Information Systems, Data, Life Sciences, Business, or a related field; advanced degree preferred.

Minimum five years of experience in data products, data governance, MDM, analytics enablement, or commercial data within pharmaceutical or life sciences organizations.

Experience executing enterprise data strategies across commercial reference data domains (e.g., Customer/HCP/HCO, Product).

Demonstrated ability to lead delivery and execution through strong stakeholder engagement and cross‑functional collaboration (Commercial, Analytics, IT, Compliance, vendors).

Key Competencies

Working knowledge of modern data platforms and lake house architectures (e.g., Databricks) and how curated data products are delivered and consumed.

Practical experience with MDM execution, including match/merge logic, hierarchies, affiliations, and enterprise identifiers.

Strong understanding of operational data governance, including ownership, definitions, classification, approved usage, and privacy/retention controls.

Experience implementing and monitoring data quality controls and coordinating issue resolution across data pipelines and vendors.

Familiarity with metadata and data cataloging to support discoverability, certification, and governed self‑service access.

Exposure to third‑party commercial data and operationalization of licensing, redistribution, and retention constraints.

Compensation and Benefits
Location: Princeton, NJ. Base salary range: $178,500 – $216,300. Eligibility for additional incentive cash and stock opportunities may apply.

Benefits include health, medical, pharmacy, dental, and vision coverage; wellness support programs; financial wellbeing plans; disability and life insurance; and more.

Equal Opportunity Statement
BMS is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law.

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