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About the role
ANSR is hiring for one of its clients. About ANSR MedTech: Who We Are: ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSRs proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises. ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations. I&A; Product Owner / Manager Global Insights & Analytics CoE Location: India GCC Function: Growth Strategy & Insights / Global Insights & Analytics Role Purpose: The I&A; Product Owner / Manager will translate business needs into clear product scope, requirements, backlog, delivery plans, acceptance criteria, and release readiness. This role will partner closely with US I&A;, Growth, Product, Commercial, Solution Architecture, Solution Engineering, Visualization / UX, QA / Operations, and platform / data teams to deliver trusted, reusable, and supportable analytics products. This is a hands-on product ownership role for a growing analytics capability. The ideal candidate can bring structure to ambiguity, manage delivery tradeoffs, and help move the organization from fragmented requests and one-off dashboards toward scalable, reusable, and supported analytics products. Key Responsibilities: Business Requirement Translation: - Partner with US I&A; Squad Leads and business stakeholders to understand business questions, decision needs, and expected outcomes. - Translate business needs into transparent requirements, user stories, acceptance criteria, and product scope. - Clarify whether work should be handled as a one-time insight, reusable analytical view, productized analytics asset, or data foundation dependency. Analytics Product Delivery: - Own delivery orchestration for assigned analytics products from intake through release and support handoff. - Manage product backlog, priorities, scope tradeoffs, dependencies, and delivery sequencing. - Coordinate across Solution Architects, Solution Engineers, Visualization / UX Engineers, QA / Operational Analysts, and platform / data partners. - Ensure each product has clear scope, business owner, acceptance criteria, validation path, release readiness, and support model. Data-to-Product Delivery Readiness: - Own the analytics product journey from data readiness through business-facing release, adoption, and support handoff. - Partner with Solution Architects and engineering teams to ensure data, logic, access, validation, and platform dependencies are identified early. - Ensure analytics products are ready for governed deployment across Databricks, Tableau, and related platforms. - Confirm each product has clear requirements, acceptance criteria, validation evidence, release notes, documentation, and support ownership. - Surface production data, access, reliability, or platform constraints through the appropriate delivery and governance processes. Productization and Reuse: - Identify opportunities to convert recurring analysis into reusable analytics products. - Help rationalize fragmented dashboards, vendor-built assets, manual reports, duplicate outputs, and unsupported analytics assets. - Partner with Solution Architect and Analytics Enablement teams on reuse, rebuild, retire, or productize decisions. Metric Clarity and Business Alignment: - Ensure metrics and business definitions are clearly understood, consistently applied, and aligned to business decisions. - Partner with business, analytics, and data teams to document metric logic, filters, grain, assumptions, and edge cases. - Help prevent conflicting definitions, inconsistent reporting, and duplicate metric logic across products. QA, Release Readiness, and Support: - Partner with QA / Operational Analysts to define validation expectations, reconciliation needs, UAT criteria, and release readiness. - Coordinate UAT with business stakeholders and ensure defects, known limitations, and open risks are documented. - Ensure every analytics product has clear ownership, documentation, release notes, enhancement backlog, and support path. Adoption and Lifecycle Management: - Track usage, stakeholder feedback, adoption, and enhancement requests after launch. - Maintain the product backlog after release and prioritize improvements based on business value, reuse, and support burden. - Partner with Squad Leads and QA / Operations to ensure analytics products remain trusted, current, and supportable. Qualifications: - 710+ years of experience in analytics, business intelligence, data products, product ownership, commercial analytics, or related fields. - Experience translating business needs into clear requirements, scope, backlog, and acceptance criteria. - Strong understanding of analytics product .
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