Associate Director, Real World Data Strategy
Bristol Myers Squibb
18 days ago
Remote friendly (United States)
United States
IT
Associate Director, Real World Data Strategy
Description
Drive end-to-end real-world data (RWD) capabilities across strategy, partnerships, acquisition, data management, product development, governance, and value realization to ensure RWD investments deliver measurable business value and support advanced analytics and AI use cases.
Key Responsibilities
- Lead and execute RWD initiatives aligned with R&D and enterprise priorities
- Partner with cross-functional stakeholders to translate business needs into data-driven solutions
- Prioritize and deliver data/analytics initiatives aligned to strategic goals
- Identify, evaluate, and utilize internal/external data assets (e.g., claims, EHR, registries)
- Support end-to-end data lifecycle (acquisition, management, enablement)
- Ensure data quality, consistency, accessibility, and usability
- Collaborate with product/engineering/analytics to develop and adopt scalable data solutions
- Promote standardization, reuse, and efficient enterprise use of data
- Ensure data governance, compliance, and regulatory adherence
- Enable analytics/reporting and AI/ML use cases; drive stakeholder engagement and adoption
- Monitor progress, risks, outcomes; communicate insights to leadership; drive continuous improvement
Position Requirements
- Advanced degree (Master in life science or data-related field, or MBA)
- 5+ years in data strategy/analytics/consulting/RWD roles
- Healthcare/life sciences/RWD ecosystem experience required
- Proven cross-functional, matrixed environment experience
Required Skills
- Stakeholder management/influencing; excellent communication and executive storytelling
- Execution mindset; strategic thinking and business acumen
- Data strategy/data products/analytics ecosystem; data governance & lifecycle management
- Demand management, prioritization, program delivery; program management/organization
- Ability to manage multiple priorities in fast-paced environment
- AI/ML data readiness and modern data platforms knowledge
Compensation/Benefits (as stated)
- US base pay range: $164,050–$198,790
- Health coverage; wellbeing programs; 401(k), disability, life insurance, and related benefits
- Paid time off (flexible time off/annual vacation) and paid national holidays (details vary by location)
Application Instructions
- If you don’t perfectly match, apply anyway.
Description
Drive end-to-end real-world data (RWD) capabilities across strategy, partnerships, acquisition, data management, product development, governance, and value realization to ensure RWD investments deliver measurable business value and support advanced analytics and AI use cases.
Key Responsibilities
- Lead and execute RWD initiatives aligned with R&D and enterprise priorities
- Partner with cross-functional stakeholders to translate business needs into data-driven solutions
- Prioritize and deliver data/analytics initiatives aligned to strategic goals
- Identify, evaluate, and utilize internal/external data assets (e.g., claims, EHR, registries)
- Support end-to-end data lifecycle (acquisition, management, enablement)
- Ensure data quality, consistency, accessibility, and usability
- Collaborate with product/engineering/analytics to develop and adopt scalable data solutions
- Promote standardization, reuse, and efficient enterprise use of data
- Ensure data governance, compliance, and regulatory adherence
- Enable analytics/reporting and AI/ML use cases; drive stakeholder engagement and adoption
- Monitor progress, risks, outcomes; communicate insights to leadership; drive continuous improvement
Position Requirements
- Advanced degree (Master in life science or data-related field, or MBA)
- 5+ years in data strategy/analytics/consulting/RWD roles
- Healthcare/life sciences/RWD ecosystem experience required
- Proven cross-functional, matrixed environment experience
Required Skills
- Stakeholder management/influencing; excellent communication and executive storytelling
- Execution mindset; strategic thinking and business acumen
- Data strategy/data products/analytics ecosystem; data governance & lifecycle management
- Demand management, prioritization, program delivery; program management/organization
- Ability to manage multiple priorities in fast-paced environment
- AI/ML data readiness and modern data platforms knowledge
Compensation/Benefits (as stated)
- US base pay range: $164,050–$198,790
- Health coverage; wellbeing programs; 401(k), disability, life insurance, and related benefits
- Paid time off (flexible time off/annual vacation) and paid national holidays (details vary by location)
Application Instructions
- If you don’t perfectly match, apply anyway.