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 centralized Access data products and help transition users away from non-standard or manual reporting processes where appropriate. Stakeholder, vendor, and team collaboration Work closely with U.S. and GCC stakeholders across PAMA, A&I, Commercial Operations, DD&T, franchise analytics teams, and vendors to clarify requirements, resolve issues, and support delivery. Collaborate with external data and analytics partners as needed, including vendors and consulting partners supporting Access data, commercial pharma analytics, data engineering, and AI-enabled analytics. Bring working knowledge of commercial pharma data vendor ecosystems, including IQVIA, Axtria, ZS, specialty pharmacy data partners, hub vendors, claims vendors, payer/formulary data providers, and related partners. Communicate status, risks, dependencies, issues, and decisions clearly to the Senior Manager and relevant stakeholders. Manage and coach a small team of analysts, QA resources, or reporting specialists supporting assigned Access data product workstreams. KNOWLEDGE, SKILLS & EXPERIENCE Education Bachelor’s degree in Statistics, Business, Information Systems, Computer Science, Engineering, Analytics, Life Sciences, or a related field required. Experience 7+ years of experience in data analytics, business intelligence, reporting, data product delivery, data operations, commercial analytics, or business analysis. Experience in pharmaceutical, biotech, healthcare, payer, patient services, market access, or life sciences data preferred. Experience leading small teams, delivery workstreams, analysts, QA resources, or reporting specialists. Experience translating business needs into requirements, user stories, data definitions, source-to-target mappings, testing scenarios, and validation plans. Experience with commercial pharma data sources such as claims, specialty pharmacy, hub, payer, plan, formulary, IQVIA, LAAD, LAAD Plus, DDD, 852/867, patient services, market access, or affordability data preferred. Prior experience with ZS, Axtria, IQVIA, or similar life sciences analytics, data strategy, or consulting organizations preferred. Experience supporting U.S. commercial pharma stakeholders across Market Access, Patient Services, Commercial Operations, Analytics & Insights, or brand/franchise teams preferred. Technical skills Strong Python and SQL skills required. Hands-on experience with data analysis, data profiling, reconciliation, validation, QA, and root-cause investigation required. Experience with Databricks or similar cloud data platforms preferred. Familiarity with Spark, PySpark, Python, notebooks, data pipelines, semantic layers, and modern ELT concepts preferred. Experience with BI and visualization tools such as Tableau, Power BI, Qlik, or similar platforms. Exposure to Databricks AI/BI capabilities, Genie or Gene-style conversational analytics, natural language querying, or AI-assisted data exploration preferred. Basic understanding of LLMs, small language models, prompt engineering, retrieval-augmented generation, conversational analytics, and responsible AI concepts preferred. Experience using AI or GenAI tools to improve analytics workflows, reporting, documentation, data quality, or user self-service preferred. Working knowledge of data modeling, metadata, lineage, source-to-target mapping, data governance, MDM, and controlled data consumption. Understanding of data privacy, compliance, and appropriate use considerations for healthcare and commercial pharma data. Leadership and business competencies Strong analytical problem-solving skills and ability to connect data findings to business impact. Clear communication skills, with the ability to explain data issues, requirements, and analytical findings to both business and technical audiences. Strong execution discipline, attention to detail, and ownership of quality, timelines, and documentation. Ability to work effectively across time zones with U.S. business partners, GCC teams, DD&T, vendors, and analytics stakeholders. Curiosity and willingness to build deeper Access domain knowledge across payer, reimbursement, affordability, hub, specialty pharmacy, formulary, and patient services topics. Ability to manage ambiguity, prioritize competing work, and escalate issues with clear options and recommendations. Willingness to challenge unclear requirements, inconsistent definitions, weak data controls, or outputs that are not fit for business use. Ability to coach analysts and help build stronger technical, analytical, domain, and AI-enabled analytics capabilities within the GCC team. TAKEDA LEADERSHIP BEHAVIORS Think Strategically — Demonstrate strategic enterprise thinking to find innovative ways to serve patients. Collaborate Cross-Functionally — Build diverse teams that deliver results while fostering inclusion. Drive Accountability — Execute with excellence and hold oneself and others accountable. Develop Talent — Attract, develop, and retain top talent, building capabilities for the future. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are: Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Employee Assistance Program Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. #Li-Hybrid Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time