Commercial Data Enablement Lead

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description ABOUT THE ROLE: The Commercial Data Enablement Lead is accountable for maximizing the value of data acquired, generated, and used across Commercial products while ensuring that priority data assets adopt agreed data foundation standards. With primary coverage of USBU and IBU and enterprise visibility, the role works across CxF, Digital Health, Medical GTM, Content, Patient Services, Commercial Analytics, and enterprise data teams. The role connects commercial priorities, data investment decisions, and product delivery to improve reuse, quality, interoperability, and readiness for analytics and AI. Key responsibilities include: Owning the portfolio view and value assessment of data acquired or generated across Commercial products Guiding acquire, reuse, enrich, consolidate, or retire decisions based on business value, cost, quality, and duplication Driving adoption of metadata, lineage, data quality, ownership, Critical Data Elements, semantic, and AI-readiness standards Embedding data foundation requirements into product intake, design, onboarding, release, and operational processes Aligning USBU and IBU priorities while providing enterprise visibility of data value, adoption, risks, and opportunities Partnering with Commercial, product, architecture, data, procurement, privacy, security, and AI teams to deliver measurable outcomes. ACCOUNTABILITIES: Commercial Data Portfolio & Value Own an integrated view of data acquired, generated, and consumed across CxF, Digital Health, Medical GTM, Content, Patient Services, Commercial Analytics, and related capabilities. Connect data assets to business capabilities, product roadmaps, priority use cases, owners, consumers, licensing constraints, quality, cost, and risk. Evaluate proposed data acquisitions and new pipelines against existing assets in EDB/CDL, MDM, Salesforce/CxF, UCDC, and BU environments. Recommend whether data should be acquired, reused, enriched, consolidated, or retired, reducing duplication and improving return on investment. Prioritize data investments based on business value, strategic need, reuse potential, quality, regulatory considerations, and analytics or AI relevance. Data Foundation Adoption Translate standards defined by the Commercial Data Ecosystems & AI Readiness Lead and enterprise data teams into practical requirements for Commercial products. Drive adoption of business and technical metadata, lineage, data quality, Critical Data Elements, ownership, access, semantic consistency, versioning, and lifecycle practices. Embed foundation requirements into product intake, design, architecture review, build, onboarding, release, and operational processes. Apply standards to new and existing data assets, prioritizing remediation according to value, risk, reuse, and AI or analytics relevance. Ensure adoption aligns with privacy, security, responsible AI, regulatory, and enterprise architecture expectations. USBU, IBU & Product Enablement Lead coordinated enablement across USBU and IBU, with enterprise visibility and reuse of common data assets and patterns wherever appropriate. Partner with CxF, Digital Health, Medical GTM, Content, Patient Services, Commercial Analytics, and BU teams to establish product-specific value and adoption plans. Resolve cross-product and cross-domain dependencies by bringing together business owners, product leaders, architects, engineers, data owners, and stewards. Promote approved integration and consumption patterns before new sources, pipelines, or duplicated solutions are introduced. Maintain clear decision rights, escalation paths, and governance forums for data investment, adoption gaps, exceptions, and remediation. Value Realization, Governance & Leadership Define and track practical measures including usage, reuse, cost avoidance, quality improvement, time-to-insight, adoption, and contribution to business, analytics, or AI outcomes. Maintain portfolio and adoption scorecards that provide senior leadership with visibility of progress, risks, underused assets, duplication, and opportunities. Advise senior Commercial and technology stakeholders on data priorities, investment choices, and actions required to improve value and readiness. Establish playbooks, checklists, training, stewardship practices, and communities that make foundation standards easier to adopt and sustain. Represent Commercial data enablement in enterprise governance and transformation forums, ensuring USBU and IBU needs inform enterprise capabilities and standards. Education Bachelor's degree in Business, Engineering, Data/Digital, Life Sciences, or a related field (advanced degree preferred) Experience (12-15+ years) Experience in pharmaceutical or life sciences environments required; Commercial domain experience strongly preferred Experience in commercial data strategy, data products, data acquisition, governance, enablement, or enterprise data transformation Strong understanding of Commercial domains such as customer and account, omnichannel/CxF, Medical, Digital Health, Content, Patient Services, claims, market access, and third-party data Experience evaluating data value, licensing, cost, quality, duplication, reuse, ownership, and risk across a complex product portfolio Experience operationalizing standards for metadata, lineage, Critical Data Elements, data quality, access, semantics, integration, and lifecycle management Working knowledge of enterprise data ecosystems such as AWS, Databricks/EDB, MDM, Salesforce, UCDC, and data catalog or governance capabilities Familiarity with analytics and AI/GenAI data requirements, including contextualized data, semantic alignment, RAG, and responsible AI controls Proven ability to influence senior business and technology stakeholders and lead across matrixed global organizations without direct authority Core Skills & Leadership Capabilities Commercial acumen, portfolio prioritization, and value realization Enterprise data governance, quality, metadata, lineage, and stewardship Ability to translate business needs and standards into practical product requirements and roadmaps Strong cross-functional leadership, stakeholder management, and influencing skills Executive communication, storytelling, and evidence-based decision making Change leadership, adoption planning, facilitation, and community building Ability to structure, prioritize, and deliver across multiple products, business units, and geographies Takeda Compensation and Benefits Summary We understand compensation is an impo