Executive Director, Engineering

Digital is the multiplier that will allow Development Sciences and Clinical Supply (DSCS) to deliver better experiments faster, enable more efficient filing and launch, build more robust supply chains, and support higher-confidence decisions across the portfolio. The DSCS Digital Technologies (DDT) organization is tasked with pioneering and deploying innovative digital technologies that drive the acquisition, automation, and utilization of data to enhance the insights, efficiency, and quality of DSCS processes and methods. As part of our Digital Transformation aspirations, this role will set the strategic direction and execute an operating model for DSCS insight and decision science, establishing the capability that translates Business Intelligence and Agentic Intelligence into actionable insight and decision support. This leader will define and govern the business-process insight layer across DSCS, connecting upstream and downstream data, forecasting, and performance signals with Discovery, Preclinical Development, and Translational Medicine (DPTM) and Global Clinical Trial Operations (GCTO). The role will directly support the Global Clinical Supplies organization by improving business-process planning, forecasting, execution, supply visibility, and decision-making, while embedding these capabilities as part of an end-to-end development-to-clinical-supply strategy.

Forecasting & decision science strategy: establish the enterprise forecasting, scenario planning, and decision science capability for capacity, equipment utilization, supply, and resource trade-offs; enable senior leaders to make faster, higher-confidence portfolio, network, and investment decisions. Executive and portfolio performance insight: define the DSCS KPI and performance-management framework, ensuring executive dashboards and portfolio insights create clear line of sight to strategic priorities, risks, constraints, and decision points. Enterprise insight experience standards: govern the semantic, metrics, and visualization standards that make decision-support products consistent, intuitive, and trusted across standard dashboards, custom solutions, and leadership-facing materials. Value-chain integration: lead the business-process data, forecasting, and insight interfaces with DPTM and GCTO, aligning definitions, hand-offs, shared KPIs, and decision rhythms across the development-to-clinical-supply value chain. Global Clinical Supplies digital enablement: serve as a senior digital partner to Global Clinical Supplies, shaping and delivering business-process digital solutions that strengthen planning, forecasting, supply visibility, execution tracking, and operational decision support, while remaining distinct from pure scientific evaluation of the underlying data. Strategic partnership with Business Intelligence and Agentic Intelligence: partner with Business Intelligence and Agentic Intelligence leaders to shape analytics-ready data products, agentic decision-support capabilities, shared standards, and reusable insight products without duplicating ownership of the underlying data platforms or AI enablement functions. Governance, compliance, and trust partnership: partner with the DSCS governance, compliance, and trust organization to ensure insight and decision-support products meet data-integrity, regulatory, GxP, FAIR, and responsible AI expectations, while maintaining clear ownership, quality, and accountability for business-process decision support. Organizational leadership: lead a small, high-impact team of data engineers and data analysts within a broader multidisciplinary decision science organization; manage budget, insourced capacity, and strategic partners; develop talent and influence senior stakeholders across DSCS and partner organizations.

Advanced degree in chemical engineering, process systems engineering, data science, computer science, quantitative sciences, or a related