Commercial Data Enablement Lead
Cambridge, Massachusetts Job ID R0187475 Category Data, Digital and Technology Subcategory Data, Digital and Technology,Data, Digital and Technology Business Unit Corporate Functions Job Type Full timeBy 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 important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Cambridge, MAU.S. Base Salary Range:
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
For information about our benefits, please click here.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
Cambridge, MAWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full timeJob Exempt
YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
