below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$175,637–$259,447
— the blue band above.
At the midpoint, this role pays about
$185k
versus about
$218k
for comparable roles.
Based on 240 similar postings.
Employer
About Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.
Bristol Myers Squibb currently has
34 open roles
on FindRole.
Listed pay typically runs
$153,830–$186,404
across 26 roles with salary data.
The Associate Director, Commercial Data Product Owner- Medical Affairs supports the execution and operationalization of commercialization data products within medical affairs data domains. This role manages data governance, facilitates collaboration between technical and business teams, and ensures data products are built, deployed, and adopted effectively. Key responsibilities include translating strategic roadmaps into delivery plans, managing backlogs, and overseeing data modeling, domain design, and catalog management. The position requires expertise in data governance frameworks, metadata management, and data quality rules. Candidates must navigate complex medical affairs domains, including medical inquiry management, KOL engagement, and publications. Required skills include experience with modern data platforms like Databricks, lakehouse architectures, and the regulatory landscape governing promotional and non-promotional data separation to ensure compliant data access and usage.
Translate strategic roadmaps into delivery plans, backlogs, and release schedules for commercial data products.
Facilitate planning, backlog refinement, and retrospectives to support end-to-end delivery from requirements through deployment.
Capture business requirements from stakeholders to create user stories, acceptance criteria, and technical specifications.
Implement and enforce data governance frameworks, ownership structures, and stewardship roles across commercial data domains.
Support the design and implementation of logical and physical data models for commercial domains.
Manage the enterprise data catalog by ensuring datasets have accurate metadata, lineage, and ownership information.
Monitor data quality dashboards and escalate issues regarding completeness, latency, and accuracy to appropriate teams.
Develop enablement plans including training, user guides, and dashboards to drive product adoption.
What we're looking for
Bachelor’s degree in information systems, Data, Life Sciences, Business, or a related field.
Advanced degree in a relevant field (preferred).
Minimum 5 years of experience in data products, data governance, MDM, analytics enablement, or commercial data within pharmaceutical or life sciences organizations.
Experience with data governance principles, data catalog platforms, and metadata management.
Demonstrated ability to lead delivery and execution through strong stakeholder engagement and cross-functional collaboration.
Experience with Medical Affairs data domains and the compliance considerations that distinguish them from commercial data.
Working knowledge of modern data platforms and lakehouse architectures (preferred).
Strong understanding of operational data governance, including ownership, definitions, classification, and privacy controls (preferred).
Data Governance
Data Quality
Metadata Management
Data Cataloging
Consent Management
Customer Data Platforms
Data Mapping
Data Privacy
Data Protection
User Stories
Acceptance Criteria
Incident Triage
Root-Cause Analysis
Data Classification
Snowflake
Data Strategy
Data Product Management
Data Governance
Metadata Management
Data Engineering
Business Intelligence
AI
UAT
Source-to-Target Mapping
Data Quality
Cloud Data Platforms
Analytics Enablement
Data Engineering
Data Warehousing
Data Modeling
Data Pipelines
Business Intelligence
Data Visualization
SDLC
Database Administration
Data Management
MES
Historians
DataLynx
SEEQ
MPI
Snowflake
dbt
DataHub
Alation
Atlan
SQL
Data Governance
Data Management
Data Catalog
Data Observability
Monte Carlo
Great Expectations
SOC 2
GDPR
CCPA
DAMA-DMBOK
AI Governance
B2B SaaS