Head of Data & Insights Engine USBU & OBU Data, Digital and Technology (DD&T)

Takeda•Boston, MA

About The Position

Data, Digital & Technology (DD&T) for the U.S. Business Unit (USBU) and Oncology Business Unit (OBU) is in the process of integrating into a single, aligned organization, with the intent to operate as a unified strategic partner to business leadership. During this period, DD&T leaders are expected to shape and enable business strategy through close partnership—translating enterprise platforms and emerging shared capabilities into prioritized roadmaps, investment decisions, and measurable outcomes. To compete and win in increasingly complex markets, US Business Unit and Oncology Business Unity (USBU & OBU) require a modern, unified data and insights foundation that enables predictive, precise, and timely decision making for the USBU and OBU Business Unites The organization depends on industrialized, scaled insight data technology foundation to deliver competitive advantage Data, Digital and Technology (DD&T): The Head of Data & Insights Engine is accountable for defining, building, and operating the modern data platform and insight engine for USBU & OBU. This role establishes the foundational data capabilities that power AI enabled decision intelligence, advanced analytics, and execution support across the business. As a key member of the USBU & OBU DD&T leadership team, this role ensures data and insights are delivered reliably, securely, and at scale, aligned to Takeda DD&T strategy and leveraging DD&T scaled delivery modelsincluding Takeda’s Innovation and Capability Centers (ICCs).

Requirements

Bachelor’s degree required; advanced degree preferred
15+ years of experience in data, analytics, or digital leadership roles
Proven experience building and operating enterprise scale data platforms
Strong financial and operating model acumen
Ability to influence without authority in complex, matrixed environments

Responsibilities

Define and own the USBU & OBU data and insights strategy, aligned to Takeda enterprise DD&T and AI strategy.
Build and operate a modern data platform that integrates internal and external data sources to enable predictive, precise, and real time insights.
Establish the Data & Insights Engine as an industrialized capability providing trusted data products, analytics, and decision intelligence across Sales, Marketing, Medical, and Access.
Enable AI driven insights and decision support, partnering closely to embed these insights into workflows.
Lead data engineering, analytics, and data science capabilities, ensuring consistent standards, reuse, and scalability.
Provide data governance, quality, and master data management technology foundations to ensure confidence, compliance, and enterprise reuse.
Design and scale robust operating models, leveraging ICCs and other global delivery mechanisms to deliver cost effective, high quality data and insight services.
Partner with Business Units, Product, and Platform leaders to prioritize data products and insight use cases with measurable business impact.
Establish KPIs and value metrics to track adoption, performance, and impact of data and insight technologies.
Define near, mid, and long term data platform and analytics roadmaps aligned to the 3–5 year commercial and medical vision.
Continuously evolve the technology ecosystem to incorporate new data methods, advanced analytics, and AI capabilities.
Ensure the Data & Insights Engine remains future ready, resilient, and scalable.
Serve as a senior member of the USBU & OBU DD&T leadership community, shaping enterprise data direction and standards.
Champion a culture of data driven decision making, analytics excellence, and operational discipline.
Partner with Global DD&T, AI, and Platform leaders to align strategies and accelerate reuse.
Own the Data & Insights portfolio, including platform investments, analytics products, and operational capabilities.
Partner with Finance and Strategy teams to plan and manage multi‑year investments.
Optimize resourcing through effective use of ICCs and scaled delivery models.
Define and manage data and insights KPIs, including data quality, platform performance, adoption, and business impact.
Provide regular updates to senior leadership on progress, risks, and opportunities.
Identify issues and lead corrective actions to ensure reliability and trust.
Serve as the primary data and insights leader for USBU & OBU partnering with the USBU & OBU commercial Insights and Analytics functions
Represent USBU & OBU data and analytics interests in data governance forums.