Senior Director, Technology, Operations, and Data Enablement

Technology, Operations, and Data Enablement Strategy

Lead the Technology & Operational Enablement agenda for Obesity Intelligence & Analytics, ensuring the organization has the platforms, workflows, operating model, and execution disciplines required to scale insights across the enterprise.

Serve as the business owner for the Obesity decision-intelligence roadmap, aligning data assets, analytics products, technology capabilities, applied data science, and operating rhythms to the highest-value needs.

Define Obesity data needs and partner closely with the enterprise data team, AI&D, IS, and GCCI to shape the architecture for the Obesity data ecosystem and decision-intelligence gateway, including governed data models, semantic and knowledge layers, and reusable data products that enable scalable analytics, self-service insights, and deployment of agentic solutions.

Define how Obesity teams request, prioritize, build, validate, deploy, and maintain analytics products, dashboards, decision tools, data assets, and AI-enabled solutions.

Lead development of an integrated Obesity intelligence ecosystem, including governed reporting layers, decision dashboards, self-service analytics, KPI frameworks, risk monitoring, and executive decision support.

Drive standardization of critical business definitions, metrics, methodologies, reporting cadences, and data products across the Obesity organization.

Reduce fragmentation, duplicative reporting, manual workflows, and inconsistent assumptions by building scalable enablement processes across functions.

Establish operating rhythms that improve decision speed, accountability, data transparency, and cross-functional alignment.

Strategic Data Partnerships, Purchases, and Data Asset Strategy

Lead the end-to-end data partnership and purchasing strategy for Obesity, ensuring alignment with brand strategy, lifecycle planning, access priorities, medical objectives, forecasting needs, and enterprise data strategy.

Translate priorities into a sequenced data roadmap that identifies the highest-value data assets, supplier partnerships, analytics capabilities, and investment trade-offs required to support Obesity decisions.

Partner with AI&D and enterprise data leaders to ensure external data purchases are fit for analytics, AI-enabled use cases, scalable data products, and long-term decision intelligence needs.

Partner with GCCI to evaluate, prioritize, negotiate, onboard, and renew external data sources, including secondary data, claims, EMR/EHR, consumer, HCP, payer, patient journey, social, digital, and emerging data sources.

Ensure each data purchase has a clear business purpose, decision linkage, ownership model, quality standard, adoption plan, and measurable value expectation.

Provide an objective senior perspective to leadership on data requirements, supplier performance, capability gaps, and implications for brand, access, medical, commercial, forecasting, and lifecycle strategy.

Partner with Legal, Sourcing, Compliance, Privacy, IS, GCCI, Medical, and Commercial stakeholders to ensure appropriate governance, contracting, privacy, regulatory, and operational standards.

Applied Data Science, AI&D Partnership, and Solution Deployment

Lead a small, high-caliber team of data scientists and applied analytics talent focused on rapid prototyping, business validation, deployment support, and adoption of high-value decision solutions.

Serve as the primary Obesity Intelligence & Analytics partner to AI&D, ensuring enterprise AI capabilities are applied to the highest-value Obesity use cases and embedded into practical business workflows.

Shape and manage the applied analytics and decision-product roadmap, including solutions for insight synthesis, forecasting, segmentation, targeting, performance monitoring, patient journey analytics, competitive sensing, and executive decision support.

Partner with AI&D and IS to assess, prioritize, pilot, validate, scale, and govern AI-enabled solutions in alignment with enterprise standards, model governance, responsible use principles, and business adoption needs.

Build the bridge between Obesity business stakeholders and technical teams by translating ambiguous strategic questions into clear data requirements, analytics methods, solution designs, and decision outputs.

Ensure prototypes are translated into durable, compliant, business-owned capabilities with clear adoption plans, quality controls, support models, and measurable impact.

Governance, Quality, Compliance, and Enterprise Leadership

Establish governance standards for Obesity data assets, analytics products, AI-enabled tools, supplier outputs, prototypes, dashboards, and decision-support materials.

Ensure data quality, integrity, lineage, transparency, and compliance across internal teams, external vendors, and cross-functional users.

Partner with Legal, Sourcing, Compliance, Privacy, IS, AI&D, GCCI, Medical, and Commercial stakeholders to ensure appropriate use of data and analytics across promotional, non-promotional, medical, access, and enterprise contexts.

Ensure AI-enabled solutions developed or deployed for Obesity have appropriate business ownership, validation, documentation, human review, lifecycle management, and adoption controls.

Lead, mentor, and develop a small, high-performing team while influencing across the matrix to align stakeholders around common definitions, priorities, decisions, and operating rhythms.

Serve as a trusted advisor to senior and executive leaders, bringing an enterprise perspective to ambiguous, high-stakes business questions.