Role Summary
The Director, Data Science Strategy & Operations will lead portfolio and project management for the Data Science & Digital Health (DSDH) organization and coordinate IT and Data investments for R&D governance. This role oversees a matrixed team of project managers, ensuring strategic alignment and operational excellence across the Data Science portfolio.
Responsibilities
- Strategic Leadership & Execution: Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies.
- Design and implement governance for the Integrated IT roadmap for R&D.
- Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies.
- Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners.
- Provide strategic input and operational expertise, including use business case quantification and value articulation.
- Portfolio & Project Management: Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects.
- Implement and optimize project management processes and best practices, including using Wrike.
- Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes.
- Team Leadership: Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture.
- Drive change management and continuous improvement initiatives within the team and across the organization.
- Financial & Business Planning: Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap.
- Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance.
- Stakeholder Engagement: Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions.
- Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders.
Qualifications
- Required: Advanced degree (PhD or Masterβs) in Computer Science, Statistics, Data Science, or a related field, or equivalent work experience in a multinational pharmaceutical company.
- Required: 7+ yearsβ experience in data science, digital health, or related fields, including significant portfolio and project management experience.
- Required: Experience leading and developing teams of project managers.
- Required: Expertise with project management tools (Wrike preferred) and methodologies.
- Required: Proven ability to drive strategic initiatives and manage complex, cross-functional projects.
- Required: Strong financial acumen and experience with budget management.
- Required: Excellent communication, interpersonal, and leadership skills.
- Preferred: Experience with healthcare datasets (EHR, claims, registries).
- Preferred: Familiarity with AI tools to improve productivity.
- Preferred: Familiarity with data visualization tools (e.g., R, Tableau, Spotfire).
- Preferred: Experience in large matrixed organizations or consulting environments.
- Preferred: Change management certification or training.
Skills
- Agility
- Jumps, Business Alignment
- Continuous Improvement
- Mentorship
- Performance Measurement
- Process Control
- Program Management
- Project Management Methodology (PMM)
- Project Management Office (PMO)
- Project Reporting
- Project Schedule
- Quality Control (QC)
- Research and Development
- Risk Management
- Tactical Planning
- Technical Credibility