Data Product Lead

Job Description

Takeda is seeking a strategic, data oriented, analytical, passionate, self‑starter and self‑motivated individual accountable for building, operating, and continuously improving the data pipelines and data products that power commercial analytics across USBU and OBU.

The Data Product Lead plays a pivotal role in transforming data into actionable insights that support strategic decision‑making. This role is central to enabling a data‑driven culture across the organization, particularly in high‑impact environments where data modernization and AI integration are strategic priorities.

This is a hands‑on leadership role in which the individual will manage a team while remaining close enough to the technical stack to unblock issues, review design decisions, and set engineering standards.

This role sits within the OBU & USBU DD&T organization and will report to the Head of Data and Insights Engine. It will drive transformative initiatives while fostering a culture of continuous improvement, adaptability, and growth.

As director, the role will ensure that the right commercial data—sales, claims, specialty pharmacy, patient services, CRM/Salesforce, and third‑party syndicated data—is ingested, curated, and delivered reliably to downstream BI, reporting, and analytics consumers across both business units.

The incumbent will also keep all data usage compliant with data use policies and processes while maximizing value through cross‑functional collaboration.

• Own end‑to‑end delivery and uptime of commercial data pipelines (ingestion, transformation, curation) supporting USBU and OBU on Databricks/AWS.
• Lead data platforms onboarding, change management, issue resolution, and data integration projects—build project plans, perform validation, and drive organizational change activities.
• Lead data platform‑centric projects to resolution, through resource management, execution, and communication (e.g., data onboarding, data events/disruptions).
• Collaborate with internal business partners on data platform validation and coordination activities for both field‑based incentive compensation internal reports/systems (sales forecasting).
• Maintain inventory of data platforms and products and promote organizational awareness of application of data in relevant use cases.
• Participate in the evaluation of new data platforms that may provide new insights, competitive advantage and help advise future data strategy.
• Ensure vendors align with Service Level Agreements (SLAs) by ensuring data quality, timely delivery, errors reported, time to resolution to data inquiries, account services etc.
• Set and enforce engineering standards for pipeline design, version control, testing, and deployment (CI/CD) to ensure production‑grade reliability.
• Drive rationalization and reuse of pipeline logic across USBU and OBU to reduce duplication and total cost of ownership.
• Define and maintain the roadmap for core commercial data products (e.g., integrated sales/claims data marts, HCP/account 360 views, patient journey datasets) in partnership with brand, field ops, and analytics stakeholders.
• Build a team culture of ownership, documentation discipline, and operational excellence.
• Ensure all commercial data handling complies with relevant privacy, compliance, and data governance policies (HIPAA, state privacy law, internal data governance standards).
• Partner with Data Governance, IT Security, and Legal/Compliance on access controls, data retention, and vendor data usage terms.
• Partner with vendor management on third‑party data feeds (e.g., IQVIA, Komodo, specialty pharmacy, claims aggregators) to ensure timely, high‑quality delivery into the platform.
• Collaborate with enterprise data platform and architecture teams to align with broader commercial data strategy.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (Master’s a plus).
• 10+ years of experience in data engineering or data platform roles, including 4+ years managing a technical team.
• Demonstrated experience building and operating production data pipelines on cloud platforms (AWS…