Associate Director, Commercialization Reference Data
Bristol Myers Squibb
5 days ago
Remote friendly (Lawrence, NJ)
United States
IT
Summary
The Associate Director, Commercialization Reference Data executes enterprise data product and data governance strategy for reference data domains across the Commercialization ecosystem, delivering trusted, high-quality reference data products supporting analytics, AI/ML, reporting, and omnichannel activation. Partners with Commercial, Analytics, IT/Data Engineering, Privacy & Compliance, and external vendors.
Responsibilities
- Execute enterprise data product and governance standards for assigned Commercial reference data domains.
- Deliver and maintain certified reference data products for enterprise reuse.
- Define and implement data governance standards (ownership, stewardship, business definitions, classifications, approved usage).
- Embed privacy/consent/licensing/retention requirements into data products and consumption workflows.
- Define MDM mastering standards (match/merge, survivorship, hierarchies, affiliations, identifiers) and deliver enterprise-ready outputs.
- Define/monitor data quality controls and thresholds; coordinate root-cause analysis and resolution.
- Ensure documentation and publication in the enterprise data catalog; enable governed self-service consumption.
- Apply governance to third-party reference data (licensing, redistribution, retention); coordinate vendor onboarding, feed changes, and quality monitoring.
Qualifications
- Bachelor’s degree in Information Systems, Data, Life Sciences, Business, or related field; advanced degree preferred.
- Minimum 5 years in data products, data governance, MDM, analytics enablement, or commercial data (pharma/life sciences).
- Enterprise experience across commercial reference data domains (Customer/HCP/HCO, Product).
- Proven cross-functional leadership and stakeholder engagement (Commercial, Analytics, IT, Compliance, vendors).
Key Competencies Desired
- Databricks/lake house familiarity; delivered/consumed curated data products.
- MDM execution skills (match/merge, hierarchies, affiliations, enterprise identifiers).
- Operational governance; privacy/retention controls.
- Data quality monitoring and issue resolution across pipelines/vendors.
- Metadata/data cataloging; certification and governed self-service access.
- Operationalization of licensing/redistribution/retention constraints for third-party data.
Benefits (as stated)
- Medical, pharmacy, dental, vision; 401(k); disability and life insurance; EAP.
- Paid time off (flexible time off for US exempt; annual vacation for certain roles), plus national holidays.
Application instructions
- If the role intrigues you but your resume doesn’t perfectly match, apply anyway.
The Associate Director, Commercialization Reference Data executes enterprise data product and data governance strategy for reference data domains across the Commercialization ecosystem, delivering trusted, high-quality reference data products supporting analytics, AI/ML, reporting, and omnichannel activation. Partners with Commercial, Analytics, IT/Data Engineering, Privacy & Compliance, and external vendors.
Responsibilities
- Execute enterprise data product and governance standards for assigned Commercial reference data domains.
- Deliver and maintain certified reference data products for enterprise reuse.
- Define and implement data governance standards (ownership, stewardship, business definitions, classifications, approved usage).
- Embed privacy/consent/licensing/retention requirements into data products and consumption workflows.
- Define MDM mastering standards (match/merge, survivorship, hierarchies, affiliations, identifiers) and deliver enterprise-ready outputs.
- Define/monitor data quality controls and thresholds; coordinate root-cause analysis and resolution.
- Ensure documentation and publication in the enterprise data catalog; enable governed self-service consumption.
- Apply governance to third-party reference data (licensing, redistribution, retention); coordinate vendor onboarding, feed changes, and quality monitoring.
Qualifications
- Bachelor’s degree in Information Systems, Data, Life Sciences, Business, or related field; advanced degree preferred.
- Minimum 5 years in data products, data governance, MDM, analytics enablement, or commercial data (pharma/life sciences).
- Enterprise experience across commercial reference data domains (Customer/HCP/HCO, Product).
- Proven cross-functional leadership and stakeholder engagement (Commercial, Analytics, IT, Compliance, vendors).
Key Competencies Desired
- Databricks/lake house familiarity; delivered/consumed curated data products.
- MDM execution skills (match/merge, hierarchies, affiliations, enterprise identifiers).
- Operational governance; privacy/retention controls.
- Data quality monitoring and issue resolution across pipelines/vendors.
- Metadata/data cataloging; certification and governed self-service access.
- Operationalization of licensing/redistribution/retention constraints for third-party data.
Benefits (as stated)
- Medical, pharmacy, dental, vision; 401(k); disability and life insurance; EAP.
- Paid time off (flexible time off for US exempt; annual vacation for certain roles), plus national holidays.
Application instructions
- If the role intrigues you but your resume doesn’t perfectly match, apply anyway.