Manger Technical Product Manager
UnitedHealth Group
- Location
- Hyderabad, Telangana
- Work model
- On-Site
- Level
- Senior
Skills
About this role
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a Technical Product Manager to lead the strategy, development, and delivery of transformation tool and future data platform enhancements. This role will own end-to-end product lifecycle management and drive scalable, API-first, healthcare data integrations across internal and external ecosystems.
Primary Responsibilities
Product Strategy & Ownership Own the vision, strategy, and roadmap for DataRaft AI and related data platform capabilities Define product direction aligned to enterprise data exchange, interoperability (FHIR), and AI-driven automation Continuously evaluate market needs, emerging technologies, and internal priorities to drive innovation Data Platform & Integration Leadership Lead design and execution of data ingestion, transformation, and exchange capabilities (API, batch, real-time) Drive scalable solutions for structured/unstructured healthcare data (EHRs, claims, SDOH, vendor feeds) Ensure alignment with interoperability standards (FHIR R4/R5), mapping frameworks, and data quality controls AI & Automation Enablement Partner with engineering and data science teams to embed AI capabilities (e.g., mapping, rules engines, automation workflows) Define use cases for intelligent automation to reduce manual data handling and improve care workflows Execution & Delivery Translate business requirements into detailed product requirements, user stories, and technical specifications Own backlog prioritization and roadmap execution using Agile methodologies Lead Agile ceremonies (planning, grooming, sprint reviews) and ensure timely delivery Stakeholder Management Collaborate with business product owners, clinical teams, engineering, and external partners Communicate product strategy, roadmap, and delivery updates to leadership and stakeholders Act as the bridge between business needs and technical implementation Product Performance & Governance Define and track product KPIs (adoption, integration success, data quality, cost efficiency) Ensure compliance with healthcare regulations, security, and enterprise data governance standards Drive continuous improvement in product performance and operational workflows Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree in Engineering, or related field 8+ years of experience in technical product management Solid experience in: Data platforms / data engineering / integrations APIs, microservices, and data exchange architecture Agile product delivery and backlog management Proven ability to translate complex business problems into technical solutions Proven excellent stakeholder communication and leadership skills Preferred Qualifications: Experience in healthcare domain (claims, EHR, interoperability) Experience with tools such as Rally, Aha!, JIRA or equivalent Exposure to AI/ML-enabled product capabilities