Executive Director, Commercialization Data Business Product Owner
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Job Location:
Princeton, NJ - USA
Monthly Salary:
$ 269790 - 326922
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Working with Us
Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthroughs in cell therapy this is work that transforms the lives of patients and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits services and programs that provide our employees with the resources to pursue their goals both at work and in their personal lives. Read more: Executive Director Commercialization Data Business Product Owner serves as the enterprise leader for commercialization data products and business rules that enable the Commercialization organization to operate with speed accuracy and impact.
This role owns the strategy and roadmap for integrated data products that unlock insights for Marketing Sales Market Access and Medical. The Executive Director will work closely with Therapeutic Area leaders to ensure data assets support brand strategy launch readiness and performance management. They are responsible for defining and governing commercial business rules that ensure consistent compliant decision-making. This leader will manage investments and vendor partnerships to ensure high-quality solutions that scale across brands and channels. They will lead and develop a high-performing team while fostering a culture of accountability and continuous improvement.
The Executive Director is accountable for driving adoption value realization and operational excellence across commercial data products. They will collaborate across business and technology stakeholders to ensure seamless delivery and strong data governance. Through vision execution and stakeholder partnership this role ensures that commercial data becomes a key competitive advantage for the organization.
Responsibilities:
Set Commercialization Data Product Vision & Strategy
- Define and communicate the long-term strategy and product roadmap for commercialization data assets and associated business rules
- Align roadmap to commercialization objectives Therapeutic Area priorities launch timelines and enterprise data strategy
- Identify opportunities to unlock new business value through enhanced data access integration and intelligence
Build & Manage a Portfolio of Commercialization Data Products
- Oversee business input on core data products (e.g. Customer 360 Incentive Comp Data Claims/Payer Data Omnichannel Engagement Data)
- Prioritize enhancements using business value risk and resource capacity
- Establish business requirements for SLAs documentation and support models
Oversee Technical Architecture Data Integration & Platform Evolution
- Define and maintain technical requirements for commercial data products including data models metadata structures reference data and MDM integration
- Partner with Enterprise Architecture Data Engineering and Solution Architects to enforce interoperability across CRM analytics cloud platforms and orchestration engines
- Drive modernization initiatives including migration from legacy systems real-time data pipelines and API-based integration patterns
- Approve architectural decisions and technical design trade-offs that impact scalability security performance and platform lifecycle
Define & Govern Commercialization Business Rules
- Own governance of commercialization business rules (e.g. segmentation logic territory alignment attribution eligibility criteria)
- Lead structured change-control and stakeholder approval processes
- Ensure transparency compliance and auditability of business rules enterprise-wide
Partner Deeply With Therapeutic Area Leadership
- Engage Therapeutic Area leaders to define insights needs aligned to brand strategy and performance drivers
- Integrate data products into brand planning field execution and launch operations
- Act as a strategic advisor driving data-led decision-making
Manage Budget Investments Vendors & Partner Ecosystem
- Own investment planning and ongoing budget management across the product portfolio
- Optimize operating model including internal resources external vendors and offshore/onshore mix
- Govern vendor performance to ensure quality compliance and delivery expectations are met
Drive Adoption Value Realization & Change Leadership
- Lead communication enablement and training strategies to drive user adoption within Commercialization
- Track Key Performance Indicators for adoption quality operational efficiency and business impact
- Implement continuous improvement plans based on user feedback and performance analytics
Lead Develop & Scale a High-Performing Team
- Hire coach and develop product managers and data governance experts
- Establish a strong team culture rooted in accountability innovation and collaboration
- Create clear role definitions growth pathways and talent succession plans
Qualifications:
- BA/BS undergraduate degree preferably in Business Technology Analytics or Health Sciences is required. A masters degree or equivalent experience is preferred.
- Minimum 15 years of experience in the pharmaceutical biotech or healthcare industry with significant focus on commercial operations data product management and leadership of large-scale initiatives
- Demonstrated expertise in directing data product portfolios governing commercialization business rules and leading strategy within pharmaceutical environments with advanced knowledge of data governance compliance standards data life-cycles data quality and management best practices
- Exceptional knowledge of commercial data domains including Customer 360 Incentive Compensation Claims/Payer Omnichannel Engagement and enterprise data assets as well as proficiency in leveraging syndicated/secondary datasets from leading vendors (IQVIA Symphony Health Veeva Definitive Healthcare AHA AMA Specialty Pharmacy)
- Strong analytical capabilities in applying data analytics AI and ML concepts for business operations and insights
- Expertise in master data management (MDM) data integration technical architecture analytics ecosystems and enterprise CRM solutions
- Extensive hands-on experience architecting implementing and optimizing technical platforms including cloud data warehousing (e.g. Snowflake Databricks AWS Redshift) scalable data lakes real-time/batch data ingestion and robust API-based integrations.
- Exceptional strategic planning skills stakeholder engagement and cross-functional leadership
- Demonstrated ability to manage vendor relationships budget planning product investments and drive operational excellence across business and technology teams
- Strong communication training and stakeholder engagement capabilities to drive adoption of and best practices
- Experienced in U.S. legal regulatory and privacy frameworks affecting pharmaceutical commercialization; skilled at aligning data governance policies and controls with HIPAA GxP FDA and compliance standards to support secure and compliant operations.
Key competencies desired:
Strategic & Commercial Leadership
- Applies strategic mindset grounded in deep understanding of Pharmaceutical Commercial models
- Connects data product strategy to revenue portfolio impact and field/market execution
Data Product Strategy & Governance
- Expertise establishing data product lifecycle governance and business rule standards
- Strong understanding of commercial data domains and operational dependencies
Technical Fluency
- Highly proficient in master data data integration CRM engagement systems and analytics ecosystems
- Understands and evaluates emerging tech (AI/ML automation data mesh) for business impact
Enterprise Data Architecture & Engineering Literacy
- Expert-level understanding of data architecture principles including data warehousing vs. data lake structures streaming vs. batch ingestion and operational vs. analytical data flows
- Ability to evaluate and influence architecture decisions (e.g. schema design compute cost considerations dependency management DevOps/CI-CD practices)
AI / Advanced Analytics Operationalization
- Deep knowledge of how predictive and generative AI models are trained governed deployed and monitored in production
- Skilled at embedding model outputs and business rules into automated workflows that drive measurable commercial outcomes (e.g. segmentation attribution next-best-action)
Cross-Functional Collaboration
- Demonstrates ability to lead and influence a cross-functional team
- Has a track record offostering a collaborative environment and creating a strong rapport
- Fosters a collaborative environment and creates strong rapport
- Embraces changes and upskills teams
Key Skills
- Cyber Security
- Business Administration
- LTE
- Content Management
- Archicad
About Company
Bristol-Myers Squibb is a global biopharmaceutical company focused on discovering, developing and delivering innovative medicines for patients with serious diseases. Our medicines are helping millions of patients around the world in disease areas such as oncology, cardiovascular, immu ... View more
