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Head of AI & Data Strategy and Operational Excellence

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Takeda
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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Job Description

The Head of AI and Data Strategy & Operational Excellence is a leadership role accountable for defining, orchestrating, and executing the AI & Data strategy, transformation roadmap, and enterprise portfolio across Takeda. This role serves as the enterprise integrator across strategy, transformation, portfolio governance, and value realization—ensuring AI & Data investments are tightly aligned to business priorities and outcomes, executed through disciplined operating models, and translated into measurable impact.

The role also leads AI-Forward programs, including operating model evolution, ways of working, portfolio governance, and cultural change, while acting as a trusted advisor to senior business and DD&T leadership for data and AI aspirations.

How you will contribute:

  • AI & Data Strategy and Transformation
    • Lead AI & Data strategy and orchestration, translating enterprise and business priorities into a coherent set of transformation initiatives and a multiyear roadmap
    • Own the AI & Data transformation, including AI forward program and its target operating model design, ways of working, and transition from current to future state
    • Serve as champion for AI & Data culture, talent evolution, fluency, and capability maturity across the organization
    • Ensure alignment between strategy, operating model, talent, and delivery capacity
  • Enterprise Portfolio Management & Governance
    • Own enterprise portfolio prioritization for AI & Data initiatives, talent, and investments
    • Establish and operate outcome-based portfolio governance, including intake, prioritization, investment trade-offs, and decision forums
    • Deliver ad-hoc strategic initiatives of the DD&T, in a management or support capacity in collaboration with the Strategy arm of the AI&D
    • Lead portfolio RAID management, escalation, and executive reporting
    • Drive Quarterly Business Reviews (QBRs), KPIs, Annual Goals, and performance tracking to ensure transparency, accountability, and value realization
  • Operating Model, Financial & People Stewardship
    • Provide oversight for people and financial management across the Strategy & Portfolio pillar, including budgets, investments, vendors, and operating expenses
    • Ensure financial discipline while enabling agility, innovation, and scale
    • Partner with Finance, Transformation, and Procurement to optimize AI & Data investments and vendor strategy
  • Enterprise Integration & Influence
    • Act as the single point of orchestration for AI & Data strategy and portfolio discussions across DD&T and enterprise governance bodies
    • Maintain strong alignment with Business Units, DD&T teams, Transformation Office and extended teams
    • Enable cohesive enterprise storytelling for AI & Data strategy, priorities, and impact
    • Drive alignment of data and AI fluency goals in partnership with ICC-led chapter and capability leaders
Accountabilities
  • Enterprise AI & Data Strategy &

    Roadmap:

    Define, maintain, and evolve the AI & Data strategy with partnering with AI & data foundation leads and aligned to Takeda priorities
  • Portfolio Governance:
    Ensure disciplined, transparent, and outcome-driven decision-making across AI & Data investments
  • Value Realization:
    Track and communicate business impact, benefits, and risks to senior leadership
  • Change & Culture:
    Drive adoption of AI-native ways of working and enterprise fluency
  • Stakeholder Leadership:
    Serve as a trusted advisor and integrator across business, technology, and transformation stakeholders
Dimensions and Aspects

Technical/Functional (Line) Expertise

  • Deep understanding of AI, data, analytics, and emerging technologies (including GenAI and agentic patterns)
  • Strong expertise in enterprise strategy, portfolio management, and operating model design
  • Proven experience with agile delivery models, governance frameworks, and performance management

Strong financial acumen, including investment…

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