Technical Product Manager - cloud/finops/data analytics/AI at Universal Health Group

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud FinOps, Data Analytics, AI/ML Integration, SQL, Advanced Excel, Power BI, Tableau, Azure, AWS, GCP, Product Management, Invoice Reconciliation, Agile Methodology, Cost Governance, Financial Forecasting, Stakeholder Collaboration

Industry

Hospitals and Health Care

Description

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 looking for a sharp, analytically driven Associate Product Manager / Data Analyst to join our Cloud FinOps team. This is a high-visibility, intersection of cloud economics, AI/ML innovation, and product thinking. Will play a pivotal role in integrating AI-driven solutions into our FinOps workflows, tracking and optimizing multi-cloud usage across Azure, AWS, and GCP, and ensuring financial accuracy through invoice reconciliation and cost governance. This role is ideal for someone who is passionate about cloud technology, data analytics, and AI — and wants to build a career at the forefront of enterprise cloud financial management. You'll work closely with engineering, finance, architecture, and business teams to translate data into actionable insights and drive cost-efficient, scalable cloud practices. Primary Responsibilities: AI Integration & Use Case Development Identify, evaluate, and drive AI/ML use cases that enhance FinOps capabilities — including anomaly detection, automated cost alerts, forecasting, and intelligent tagging Collaborate with data engineering and platform teams to integrate AI-powered agents and copilots into existing cloud cost management workflows Track and categorize AI/ML consumption patterns across cloud providers (GPU-based SKUs, token-based billing, agent services, call center AI, etc.) Develop intake frameworks and templates for new AI use case submissions from cross-functional teams Monitor industry trends in Generative AI, Agentic AI, and AI-driven FinOps to inform product roadmap and strategy Cloud Usage Tracking & Analytics Monitor and analyze cloud consumption data across Azure, AWS, and GCP at application, segment, and CSP levels Build and maintain dashboards and reports for month-on-month and year-on-year usage trends, variance analysis, and runrate calculations Support cloud cost forecasting processes, including coordination of forecast submissions from multiple application teams and AskIDs Identify cost optimization opportunities across compute, storage, networking, and data platform services Partner with application owners to ensure accurate tagging, cost allocation, and chargeback alignment Invoice Reconciliation & Financial Governance Perform monthly invoice reconciliation for cloud service providers, identifying and resolving billing discrepancies, credits, and adjustments Reconcile marketplace agreements, enterprise contracts, and committed-use discounts against actual invoiced amounts Develop and maintain automated reconciliation workflows to improve accuracy and reduce manual effort Collaborate with procurement, finance, and vendor management teams to ensure billing transparency and compliance Prepare executive-ready financial summaries, variance reports, and cost governance dashboards for leadership review Product Management & Stakeholder Collaboration Define product requirements and user stories for internal FinOps tools, dashboards, and automation capabilities Drive sprint planning, backlog prioritization, and feature delivery in an Agile environment Engage with cross-functional stakeholders (engineering, finance, security, architecture) to align FinOps product strategy with business priorities Document processes, create SOPs, and maintain knowledge base for FinOps governance and AI integration 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 (B.Tech / B.E. / B.Sc.) a Tier-1 institution (IITs, NITs, BITS Pilani, IIITs, top state/central universities, or equivalent) Experience in data analytics, product management, cloud operations, FinOps, or AI/ML domain Hands-on experience or academic exposure to data visualization tools such as Power BI, Tableau, or Looker/Data Studio Foundational understanding of cloud platforms (Azure, AWS, GCP) - billing models, resource hierarchy, and cost management basics Solid proficiency in SQL for data extraction, transformation, and analysis Proven advanced Excel skills - pivot tables, VLOOKUP/INDEX-MATCH, conditional formulas, data modeling Proven solid analytical thinking, problem-solving ability, and attention to detail Proven excellent verbal and written communication skills with the ability to present data-driven insights to stakeholders at all levels Preferred Qualifications: MBA / PGDM from a premier institution (IIMs, or equivalent Tier-1 B-school) Any relevant certifications: Azure Fundamentals (AZ-900), AWS Cloud Practitioner, Google Cloud Digital Leader, or FinOps Certified Practitioner Experience with cloud billing data, ETL/ELT pipelines, or data warehousing (BigQuery, Snowflake, Databricks). Experience building or working with Copilot / AI agent integrations in enterprise environments Knowledge of enterprise procurement, marketplace agreements, and committed-use/reserved instance pricing Understanding of Agile/Scrum product development methodologies Familiarity with AI/ML concepts - machine learning models, large language models (LLMs), Generative AI, and Agentic AI architectures Proven exposure to FinOps frameworks and principles (FinOps Foundation certification What We Offer A high-impact role with direct exposure to enterprise-scale cloud financial management and cutting-edge AI innovation Mentorship from senior product and FinOps leaders in a collaborative, growth-oriented environment Opportunity to shape the future of AI-integrated FinOps practices across a Fortune 5 healthcare enterprise Continuous learning culture with access to certifications, training programs, and industry conferences Competitive compensation, comprehensive benefits, and flexible hybrid work arrangements Career growth pathway into senior product management, cloud architecture, or AI strategy roles At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

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Responsibilities

Integrate AI-driven solutions into FinOps workflows to optimize multi-cloud usage across Azure, AWS, and GCP. Manage cloud cost tracking, invoice reconciliation, and financial governance while collaborating with cross-functional teams to drive scalable cloud practices.