Integration Analyst

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 Integration Analyst Data, Digital & Technology Takeda Pharmaceutical Cambridge, MA About the role: As the OBU Integration Analyst , Associate Director, serves as a critical bridge between business stakeholders, internal DD&T teams, and external vendors across the Oncology Business Unit (OBU). This role is responsible for defining, governing, and enabling vendor integrations that support patient services, medical, and access capabilities. A key focus is deep understanding of the data our platforms produce and ingest, ensuring seamless, compliant, and scalable data exchange across a complex ecosystem of internal and external systems. You will translate business needs into actionable requirements that drive integration delivery across products, data platforms, and vendor solutions. This role sits within the OBU & USBU DD&T organization and reports to the Head of Patient Services, Access & Medical Capabilities, USBU & OBU Data, Digital & Technology (DD&T). How you will contribute: Develop a deep understanding of data generated and consumed by OBU products, including downstream and upstream dependencies Partner closely with Data COE and Enterprise Data Backbone teams to align on data models, standards, governance, and integration strategies Define and document data requirements, mappings, transformations, and integration logic across systems and vendors Lead end-to-end vendor integration requirements, including data exchange, workflows, and system interoperability Translate business needs into clear, actionable requirements for developers and product owners, ensuring alignment with product roadmaps and technical architecture Partner with product owners and engineering teams to ensure requirements are well understood, prioritized, and implemented effectively Drive alignment on data standards, quality expectations, and governance practices across vendor integrations Identify and address data gaps, inconsistencies, and quality issues across the ecosystem Support vendor onboarding and integration lifecycle, including requirements, design validation, testing, and production readiness Lead requirements management through SDLC/Agile delivery, ensuring full traceability from business need through deployment Partner with Quality and Testing teams to ensure integration testing and validation meets business and regulatory expectations Facilitate cross-functional alignment to manage integration dependencies, risks, and change control Provide strategic recommendations to optimize data flows, reduce fragmentation, and improve scalability across the vendor ecosystem Manage stakeholder expectations regarding product priorities, delivery timelines, constraints, decisions, and outcomes. Partner with the USBU Product team to identify shared Salesforce platform opportunities, reduce duplication, improve scalability, and strengthen platform-level synergies. Minimum Requirements/Qualifications: Required: Bachelor's degree in business, Information Technology, or a related field. Advance degrees preferred. Minimum of 10 years of data analyst experience or a related field within the pharmaceutical or biotechnology industry. Deep expertise in data-driven integrations, including strong understanding of how enterprise platforms produce, consume, and exchange data Hands-on experience working with enterprise data platforms, data models, and integration patterns (APIs, file-based, real-time/streaming) Proven ability to partner with enterprise data teams to define data standards and integration approaches Strong experience translating requirements into clear backlog items for developers and product owners Advanced skills in data mapping, data analysis, and troubleshooting across multi-system environments Strong understanding of healthcare data ecosystems (e.g., specialty pharmacy, hubs, patient services) Expertise in Agile and hybrid SDLC models, working closely with engineering and product teams Proficiency with tools such as JIRA, and data/integration documentation tools Experience