Executive Director, Real World Evidence Innovation Center Lead, Global Medical

Bristol Myers Squibb • Princeton, NJ

10d • Hybrid

About The Position

The Executive Director will serve as the central connective node for Medical across the BMS enterprise RWE ecosystem — linking Medical study teams to the full landscape of internal and external data assets, technology platforms, AI capabilities, and cross-functional partners. A core priority is working with the Data Analytics and HEOR teams to identifying and integrating the growing portfolio of available therapeutic area-level data sources — including EMR/EHR, claims, registries, specialty datasets, and partner platforms — and making those assets practically accessible and scientifically deployable for the MEG, MAP & RWE and Global Medical teams. Specifically, the role sits at the intersection of four organizational communities: MEG study teams — who need scientific guidance, methods support, and database expertise to design and execute high-quality NIS and RWD-integrated studies Data Analytics & IT / BI&T — who own the data infrastructure, platforms, and tooling that enable RWD acquisition, access, and analysis External RWD ecosystem — including database vendors, academic partners, and epidemiological networks that the RWDIC will curate and broker access to Cross Functional Partners including WWTA, HEOR, Clinical Development, Market Access and Commercial teams. This role is fundamentally a capability-building, connectivity, and enterprise enablement role — not a study execution role. The Executive Director will not own or run RWE studies directly; instead, they will ensure that BMS Medical has the infrastructure, data access, scientific methods, and organizational fluency to generate real-world evidence with speed, rigor, and competitive advantage.

Requirements

• Degree in Epidemiology, Biostatistics, Health Sciences, or related RWE field (advanced degree PhD or equivalent preferred)
• 10+ years of progressive experience in real-world evidence, epidemiology, or health data science in a pharmaceutical, biotech, or clinical setting
• Deep expertise in RWD database ecosystems — including claims, EMR/EHR, registries, and global specialty sources — with proven experience building or managing TA or enterprise-level data access programs
• Track record of building new functions, teams, or capabilities in large, complex organizations
• Experience with AI and digital analytics tools applied to RWE workflows
• Strong executive presence and communication skills — able to represent Medical's data and evidence priorities at the enterprise and leadership level

Responsibilities

• Build & Lead the RWD Innovation Center: Establish this capability within Medical - defining the RWDIC mission, governance model, KPIs, and operating model from the ground up, as an enterprise-level function new to the Medical organization at BMS. Set the strategic vision for how BMS Medical engages with the evolving RWD ecosystem, including new data partnership models, AI-integrated workflows, and enterprise data infrastructure. Serve as the enterprise authority on RWD strategy, data connectivity, and scientific standard acting as a senior resource for Medical leadership and cross-functional partners.
• End-to-End Data RWE Capability: Build an end-to-end capability which enables Global Medical to lead in the space of RWE generation and publication to meet the needs of HCPs and patients. Own the end-to-end data connectivity architecture for Global Medical: mapping, accessing, and mobilizing the full landscape of internal and external data sources available across BMS therapeutic areas. Identify, evaluate, and build an enterprise RWD data landscape by TA including EMR/EHR systems, claims databases, specialty registries and global sources, ensuring teams know what exists, how to access it, and how to deploy it for their evidence questions. Serve as the organizational bridge between MEG teams and the Unified Data Layer, ensuring that the data infrastructure investments made in BI&T and Data Analytics are translated into practical, scientific utility for Medical. Drive a culture of continuous innovation to stay ahead of emerging data sources, design paradigms, AI-enabled approaches, and digital tools, and translating them rapidly into practical team capability.
• Enterprise Cross-Functional Connectivity & Integration: Serve as Medical's senior liaison to the enterprise RWE ecosystem, actively connecting and aligning with WWTA, HEOR, Clinical Development, Market Access, Commercial, BI&T/Data Analytics to ensure that Medical's RWD capability is integrated within, and benefits from, the broader enterprise infrastructure. Represent Medical's RWD priorities in enterprise technology roadmaps, data governance forums, and AI platform investment decisions, ensuring MEG's scientific requirements shape platform design. Identify and activate data sources and evidence assets that already exist across BMS TAs, working with BI&T/Data Analytics, HEOR and WWTA to inventory available data, surface reuse opportunities, and prevent duplication of investment. Build and steward enterprise-level partnerships with leading RWD data vendors, academic partners, and epidemiological networks. Connect Medical's evidence generation activities to the enterprise AI and LLM capabilities, ensuring MEG teams are positioned to leverage AI throughout the study lifecycle.
• Scientific Expertise: NIS, Epidemiology & Advanced Study Designs: Institutionalize RWD as the standard first step in study planning, ensuring teams interrogate available databases for feasibility, patient population sizing, treatment patterns, and outcome rates before committing to trial infrastructure. Build and maintain the RWDIC knowledge base across the full spectrum of advanced RWD-integrated designs: RWD-informed trials: informing endpoint selection, eligibility criteria, sample size, and increasing probability of technical success. External Control Arms: patient matching, propensity methods, eligibility alignment, and regulatory considerations. Hybrid designs: integrating RWD with primary data collection, including harmonization and documentation standards. Serve as the internal advisor when teams are considering non-traditional designs — pressure-testing feasibility and scientific credibility before resources are committed.
• Organizational Capability Building & Training: Design and deliver an enterprise RWD training curriculum — covering database literacy, advanced study designs (ECAs, hybrid, RWD-supplemented trials), AI/digital approaches, and data acquisition pathways — targeted at MEG & MAP study teams. Lead a RWD Community of Practice and maintain a living knowledge management system — playbooks, database landscape summaries, design guidance, and acquisition process maps — under the RWDIC banner. Build organizational confidence and fluency in RWD within Medical, creating a culture where teams proactively engage available data assets and move with speed and scientific rigor.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
• Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
• All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive