Insights Product Manager T500-27879

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 clear 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 delivery, reporting products, reusable analytical assets, and .