Senior Director, Innovation, Data & Analytics (IDA) Lead

ROLE SUMMARY Lead the vision and execution of AI-powered analytics and data science capabilities for US Medical Affairs. Own the entire data portfolio and pioneer next-generation analytics in patient journey mapping, advanced segmentation, and stakeholder evaluation. Scout and integrate external innovations; build proprietary AI/ML solutions in-house. Establish foundational data architecture, governance, and AI/automation frameworks that scale.

Engage senior leadership on data strategy; translate technical capability into competitive advantage. ROLE RESPONSIBILITIES Strategy setting and stakeholder engagement Define an ambitious innovation vision for Medical Affairs data and analytics. Communicate strategy effectively to senior and executive leadership, framing data/AI investments in terms of business impact and competitive advantage Partner with external innovation leaders, AI/ML research institutions, technology vendors, and thought leaders to identify and evaluate emerging capabilities in AI, patient analytics platforms, and data science approaches Work with senior leadership and Medical Affairs stakeholders to define strategic priorities for AI and data investment; guide capability roadmap and resource allocation decisions Actively scout emerging trends in AI, patient journey science, segmentation methodologies, HCP network analysis, and healthcare data platforms; evaluate which innovations to adopt, adapt, or build in-house Architect and lead the development of patient journey analytics, advanced segmentation models, and stakeholder evaluation systems that enable Medical Affairs to understand and engage patients and HCPs at scale Drive analytics development and delivery Lead development team and manage delivery of analytics Translate strategic Medical Affairs needs into a data science and AI/ML roadmap; prioritize innovation initiatives that build proprietary capability and drive business impact Present analytics capabilities, innovation progress, and strategic recommendations to senior and executive leadership; translate technical AI/data science concepts into business outcomes and competitive advantages Champion enterprise-grade data governance, security, and ethics standards; ensure frameworks enable rapid innovation deployment while maintaining compliance and data quality BASIC QUALIFICATIONS Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Bachelors + 12+ years’ experience; MBA + 10+; PharmD/PHD + 7+ Strong experience (10+ years) in data & analytics, including with recent medical affairs experience. Demonstrated effectiveness working in cross-functional business environment. Proven leadership skills in managing people and projects both directly and via a matrixed or indirect leadership.

Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders. Ability to partner cross culturally/regionally. Effective talent management. Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media.

In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development , regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations. Technical: Anticipates Future Data and Analytics Needs – Knows the healthcare and AI landscape; deeply knowledgeable in emerging trends in AI/ML, patient analytics, segmentation science, and data platforms.

Understands how data science and AI create competitive advantage in medical