Manager, Access Data Products & AI Analytics

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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 Indias epicenter of Innovation has been selected to be home to Takedas recently launched Innovation Capability Center. We invite you to join our digital transformation 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 Takedas 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 Takedas GCC Commercial Analytics & Insights organization in India as Manager Access Data Products & AI Analytics.

This role will support the delivery and operational excellence of Takedas 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 Takedas 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

• Bachelors 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. Were not just transforming our company; were 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.

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