Senior Manager, Real World Data Strategy

About the Role

The Real-World Data (RWD) Strategy team stewards real-world data assets end-to-end, from strategic acquisition and governance to scalable data product development and AI-ready foundations, to democratize access, accelerate innovation, and improve patient outcomes. The Senior Manager is a dynamic, cross-functional role spanning data landscaping, external partnerships, customer success, data product strategy, and governance. This individual translates strategic priorities into structured execution plans within a matrixed, collaborative environment, championing an AI-native mindset throughout.

Responsibilities

• Lead end-to-end RWD initiative execution, from scoping through stakeholder sign-off, with clear milestones, owners, and risk mitigation strategies
• Track interdependent workstreams, proactively surface blockers, and escalate with solutions
• Act as the team's AI driver – identify, pilot, and embed AI/ML tools and automation into RWD workflows, data pipelines, and analytical processes
• Ensure RWD assets are structured and documented for AI/ML downstream consumption in partnership with engineering and data science teams
• Evaluate and onboard external RWD sources (claims, EHR, registries, labs, PROs); manage vendor assessments, acquisition workflows, and data access governance
• Design scalable data products across Research, Development & HEOR; engage internal customers to drive adoption and usability
• Define and track KPIs demonstrating the impact of RWD investments and data products
• Uphold data quality, governance standards, metadata practices, and compliance requirements; contribute to lineage documentation and enablement resources

Qualifications

• Bachelor's in Life Sciences, Data/Analytics, Epidemiology, Public Health, or related field (required)
• Master's degree (MPH, MBA, Biostatistics, or Data Science) (preferred)
• 4–5 years in data, analytics, real-world evidence, consulting, or a related field
• Hands-on experience with RWD sources (claims, EHR, molecular, biomarker, imaging), including knowledge of their structure, limitations, and appropriate use cases
• Track record delivering data products or analytics solutions – scoping, timeline management, and fit-for-purpose outputs (e.g., analytical datasets, data platforms, self-service tools)
• Experience in cross-functional, matrixed environments across technology, analytics, and business stakeholders
• Demonstrated hands-on proficiency with AI-native tools, specifically Claude Code and collaborative AI coding environments, applied to data workflows, scripting, or pipeline development; a pre-interview hands-on project may be required

Skills

• SQL proficiency; working knowledge of R or Python for data manipulation, QC, or analytical workflows
• Familiarity with data pipelines and cloud environments (e.g., Databricks, AWS)
• Proficiency with Claude Code and collaborative AI tools to accelerate querying, QC automation, and documentation; ability to integrate AI into structured workflows via prompt engineering and AI-assisted analysis
• Understanding of data quality frameworks and governance practices
• Strong execution and delivery management – organized, detail-oriented, able to juggle competing priorities
• Hands-on AI capability is a core, non-negotiable requirement – candidates must demonstrate active, daily use of AI tools (including Claude Code) with tangible examples of impact on workflows, automation, and team delivery; this is an expected competency aligned with BMS's enterprise-wide AI-native commitment
• Clear communicator across technical and non-technical audiences
• Collaborative, solutions-oriented; builds trust across stakeholder groups
• Comfortable with ambiguity and able to flex across functional areas as the role evolves

Pay

$139,200 - $168,683 (starting compensation range for a full-time employee). Additional incentive cash and stock opportunities may be available based on eligibility. Final individual compensation will be decided based on demonstrated experience.

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
• Paid Time Off: US Exempt Employees receive flexible time off (unlimited, with manager approval) and 11 paid national holidays; Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees receive 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
• Based on eligibility, additional time off 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 Year's Day (all global employees full and part-time actively employed at and paid directly by BMS at the end of the calendar year are eligible)

Schedule

On-site presence requirements vary by role type: site-essential roles require 100% onsite; site-by-design roles may be eligible for a hybrid model with at least 50% onsite; field-based and remote-by-design roles require physical travel to visit customers, patients, or business partners and to attend meetings on behalf of BMS as directed. Summer hours flexibility is available for U.S. office-based employees, generally not available for field sales and manufacturing operations, and may be limited for capability centers; employees in remote-by-design or lab-based roles may be eligible depending on the nature of their work.

This response is AI-generated, for reference only.