Manager, Access Data Products & AI Analytics

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 The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team OBJECTIVES / PURPOSE We are seeking a technically strong and business-oriented data analytics manager to join Takeda’s GCC Commercial Analytics & Insights organization in India as Manager, Access Data Products & AI Analytics. This role will support the delivery and operational excellence of Takeda’s Patient and Market Access data product portfolio. The Manager will partner closely with the Senior Manager, Access Data Product Strategy & AI Enablement, the U.S. Access Data Products Director, Patient Access and Market Access (PAMA), DD&T ICC teams to translate PAMA business needs into trusted, governed, analytics-ready data products and solutions. The ideal candidate will bring strong hands-on data analytics skills, commercial pharma data experience, and practical exposure to modern data platforms and AI-enabled analytics. Experience with Databricks, SQL, BI tools, AI/BI capabilities, conversational analytics, GenAI, LLMs, small language models, and natural language data exploration is preferred. Candidates with prior experience at organizations such as ZS, Axtria, IQVIA, or similar life sciences analytics and data consulting firms would be well aligned to this role. This role requires a hands-on manager who can manage product delivery workstreams, perform data analysis, validate business rules, support reporting and AI/BI enablement, and ensure data products and analytics are accurate, reusable, and fit for decision-making. ACCOUNTABILITIES Access data product delivery and execution Support delivery of Access data products across payer, plan, formulary, coverage, reimbursement, affordability, patient services, hub, specialty pharmacy, prior authorization, claims, and access performance domains. Translate business questions and stakeholder needs into clear requirements, user stories, acceptance criteria, source-to-target mappings, data definitions, and validation scenarios. Partner with the Senior Manager, U.S. Access Data Products Director, DD&T, data engineering teams, analytics teams, and reporting teams to ensure assigned data products are delivered with quality and business relevance. Maintain product backlogs, delivery trackers, issue logs, release notes, documentation, and validation evidence for assigned Access data products. Support standardization and reuse across Access data products, helping reduce fragmented, manual, or one-off datasets. Technical data analysis and Databricks enablement Perform hands-on data analysis to profile data, validate logic, investigate discrepancies, and confirm data readiness for analytics and reporting use cases Use SQL and modern data platforms, especially Databricks or similar environments, to support data exploration, transformation validation, reconciliation, and analytics-ready dataset preparation. Partner with data engineers and platform teams to review data models, transformation logic, refresh processes, and consumption layers. Support creation and validation of semantic layers, curated data marts, reusable business logic, and certified metrics for Access analytics and reporting. Identify opportunities to automate recurring data checks, validation routines, reporting support, and data quality monitoring. AI/BI and conversational analytics support Support AI/BI and GenAI-enabled analytics use cases that improve data discovery, self-service reporting, data quality investigation, documentation, and insight generation. Assist in developing and validating conversational analytics capabilities, including natural language querying, governed semantic layers, reusable analytical prompts, and business-friendly data exploration experiences. Bring practical understanding of LLMs, small language models, prompt engineering, retrieval-augmented generation, and responsible AI concepts as they apply to commercial pharma data and analytics. Partner with the Senior Manager and platform teams to test AI-enabled workflows and ensure outputs are accurate, explainable, governed, and appropriate for business use. Help business users adopt AI-enabled analytics capabilities by supporting training materials, FAQs, examples, documentation, and issue resolution. Data quality, validation, and governance Perform hands-on data quality checks, including completeness, timeliness, accuracy, consistency, business rule adherence, and reconciliation against source or control totals. Create and maintain validation scripts, QA checklists, exception reports, control files, and issue-resolution documentation. Investigate data discrepancies, identify root causes, coordinate remediation with technical teams, and communicate business impacts clearly. Support data quality KPIs and monitoring routines for assigned Access data products. Ensure business rules, metric definitions, lineage, source-to-target mappings, transformation logic, assumptions, limitations, and known caveats are documented and maintained. Follow Takeda’s data governance, privacy, metadata, lineage, and appropriate-use standards for healthcare and commercial pharma data. Reporting and analytics enablement Support trusted home office, market access, patient services, and franchise-level reporting by ensuring assigned Access data products are accurate, timely, and decision-ready. Partner with A&I and reporting teams to validate dashboards, scorecards, metrics, extracts, and analytical outputs that rely on Access data products. Support analytics use cases related to payer engagement, coverage and formulary performance, affordability, reimbursement, prior authorization, hub operations, specialty pharmacy performance, patient journey, and access performance measurement. Help identify opportunities to improve time-to-insight through reusable data logic, better documentation, improved data models, automated checks, and simplified data consumption. Support adoption of centralize