Director II, Enterprise Data and Analytics Products

Role Summary

The Director II, Enterprise Data and Analytics Products plays a critical role in shaping how U.S. Commercial Therapeutics converts investments in data, analytics, and AI into scalable solutions that deliver measurable value. Serving as the strategic "front door" to the APEX Business Units for all Data and Analytics products, this leader will lead the newly formed enterprise data and analytics product organization. This individual owns enterprise demand, portfolio-level prioritization, and the 3-year capability roadmap. By leading a team of dedicated Product Owners managing flagship assets (e.g., Customer Engagement, Marketing Mix, Insights Marketplace, and business-facing data products), this leader ensures that capability development is driven by business value rather than fragmented functional requests. This role partners deeply with the Data Science and Data Management teams via a committed, cross-functional pod model—owning what gets built, for whom, and in what order, while technical partners own how it is built. Ultimately, this leader is measured not by delivery volume, but by commercial adoption, seamless integration into BU workflows, and business impact.

Responsibilities

• Enterprise Portfolio & Demand Management: Lead enterprise portfolio prioritization across data and analytics products, establishing a rigorous intake and decision framework that aligns demand, capacity, technical feasibility, and commercial value.
• Product Organization Leadership: Direct a team of dedicated Product Owners who hold end-to-end accountability for data and analytics products. Guide AI-enabled capabilities through the full product lifecycle, utilizing rapid experimentation and evidence-based iteration from concept through launch, enhancement, and eventual retirement.
• Data Product and Semantic Strategy: Lead the product strategy for business-facing data products, semantic capabilities, and insight-delivery platforms. Establish clear ownership of business definitions, product requirements, and fit-for-purpose data needs to enable trusted, reusable, and AI-ready commercial capabilities.
• AI Workflow & Autonomy Design: Design commercial workflows for AI-enabled capabilities. Establish clear autonomy boundaries, decision rights, oversight mechanisms, and escalation paths. Partner with Data Science and BTS leaders to define product-level safety and evaluation requirements, ensuring strict alignment with enterprise Responsible AI standards.
• Cross-Functional Pod Orchestration: Partner with Data Science, Data Management, and BTS to secure the technical capacity required to execute each roadmap. Product teams own what is built, for whom, and how it is delivered to users; technical partners own how the underlying data, models, platforms, and operations are engineered and sustained.
• Value Origination & Business Casing: Deeply understand U.S. Commercial strategic priorities and translate them into a forward-looking capability roadmap. Define the financial business cases for new capabilities, clearly articulating how proposed solutions will generate revenue and competitive advantage.
• Strategic BU & BTS Liaison: Establish a consistent engagement model for APEX Business Units across the data and analytics product portfolio, reducing fragmented request routing and creating clear visibility into product roadmaps, priorities, and delivery tradeoffs.
• Drive Change & Adoption: Lead adoption and value-realization strategies for the product portfolio, partnering with APEX Business Units and functional capability leaders to embed new platforms, AI-enabled solutions, and insights into commercial workflows and decision-making.
• External Strategy & Consulting Innovation: Identify and selectively engage external consultancies, technology partners, and specialized experts to accelerate strategic capability design, bring outside-in perspective, and test emerging approaches where internal capabilities or experience are limited.

Qualifications

• Bachelor's degree in a quantitative discipline, business, economics, or related field; MBA or advanced degree strongly preferred.
• 15+ years of related professional experience, with a strong background in commercial strategy, enterprise product management, data strategy, or analytics translation within the Pharmaceutical/Life Sciences industry.
• Proven track record of connecting data, analytics, and AI capabilities to measurable commercial revenue and business value generation.
• Experience leading data, analytics, digital, or AI product portfolios, including demand management, product roadmapping, adoption, and value realization.
• Experience leading enterprise product management organizations, portfolio prioritization, or operating within an agile, cross-functional delivery model.
• Exceptional executive presence and collaboration skills, with the ability to influence and align senior stakeholders across matrixed business units (APEX Business Units) and technology teams (BTS) without direct authority.
• Deep fluency in modern data strategy, omnichannel execution, and advanced analytics, enabling effective translation between highly technical data science teams and commercial brand leadership.
• Strategic leader capable of navigating ambiguity, managing complex cross-functional initiatives, and driving scalable innovation to address evolving business needs.