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AI Product Management & Data Analytics

Madhu
Devi

Mundelein, IL  ·  devi52@gmail.com  ·  linkedin.com/in/madhudevi

Summary

AI Product Owner and Product Manager with 5+ years of direct product ownership and 15+ years overall delivering digital products across healthcare and regulated cross-industry environments. Proven track record owning consumer-facing digital products — including a member-facing AI chat and voice virtual assistant at Aetna — with full accountability for roadmap, prioritization, stakeholder alignment, and Agile execution. Experienced leading cross-functional teams of up to 20 people spanning data engineering, data science, application development, and data governance across complex matrixed organizations. Strong data-driven mindset with hands-on experience in analytics pipelines, performance dashboards, and customer journey insights. Leverages AI tools including Claude.ai and Microsoft Copilot to accelerate product workflows. Certified Google Cloud Generative AI Leader. Delivered 100% customer satisfaction through disciplined Agile delivery, clear acceptance criteria, and executive-level communication.

Core Competencies

Product Ownership & Management Consumer-Facing Digital Products Roadmap & Prioritization Agile & Lean Delivery Healthcare & Regulated Environments Data Analytics & Experimentation AI & ML Product Management Cross-Functional Leadership Stakeholder Management Release Management User Stories & Acceptance Criteria Responsible AI & Governance

Technical Proficiencies

Aha! Jira Rally Confluence Smartsheet GitHub ServiceNow Power BI Tableau Spotfire Snowflake Python Azure GCP AWS Salesforce Microsoft 365 Claude.ai Microsoft Copilot Miro Lucid

Certification

Google Cloud Generative AI Leader
Google Cloud

Experience

Current · Part-Time
Restaurant Operations Associate — Honest Restaurant Franchise  (May 2026–Present)
Hands-on observation of order management, kitchen coordination, and throughput operations — building practical insight into workflow automation and AI-assisted restaurant operations.
Aetna
Oct 2025 – Dec 2025
Product Manager
  • Owned product delivery for a consumer-facing AI chat and voice virtual assistant serving health insurance members, deflecting common inquiries and improving digital self-service efficiency. Applied VoC research using Miro and Lucid to produce customer journey maps and UX flows, translating member pain points into engineering design decisions in a regulated healthcare environment.
  • Managed end-to-end roadmap execution in Rally: decomposed program-level capabilities into Features and user stories, authored acceptance criteria with Given/When/Then structure, and maintained a groomed backlog that reduced sprint rework and improved PI predictability. Coordinated dependency mapping across engineering, QA, and business teams ahead of each PI planning cycle.
  • Collaborated with architects and engineering leads to assess future-state solution architecture for the AI assistant, evaluating integration touchpoints, API contracts, and data flows between member-facing front-end and back-end services. Translated technical constraints into prioritization decisions balancing delivery scope against platform readiness and compliance requirements.
  • Maintained project plan tracking milestones, dependencies, and risk register across engineering and business workstreams; produced structured status reporting for multiple stakeholder tiers including executive leadership.
Optum
Mar 2022 – Aug 2025
Technical Product Manager → Senior Technical Product Manager
  • Led strategy and execution of large-scale healthcare data migration initiatives spanning billing, payment, accounting, and finance datasets. Defined end-to-end dependency maps across data engineering, data governance, data quality, and platform teams — including data-ingestion sequencing, schema validation checkpoints, and lineage documentation to support regulatory compliance.
  • Designed a phased migration roadmap with milestone gates tied to data-ingestion protocol sign-off, encryption and access-control standards, gap analysis remediation, and downstream impact assessments across consumer-facing and internal reporting systems. Established go/no-go criteria for each phase to manage quality and compliance risk.
  • Served as technical liaison between business and engineering teams, translating dataset specifications and business rules into data mapping documents covering customer, product, and revenue-recognition field-level logic. Reduced UAT defect rates by resolving ambiguities in source-to-target mappings before development handoff. Drove trade-off decisions balancing migration speed, platform scalability, data quality, and regulatory risk across parallel workstreams.
  • Partnered with the Agile Release Train Engineer (RTE) to build a release-management framework defining environment promotion gates, rollback procedures, and data-security validation checkpoints required by healthcare regulatory standards (HIPAA-aligned). Managed risk register and escalation path for production deployments across Azure-hosted data environments.
Change Healthcare
Oct 2016 – Mar 2022
Product Owner → Product Lead
  • Translated complex data-migration requirements into structured Jira Epics, Features, and user stories, defining field-level acceptance criteria and data validation rules that gave engineering teams unambiguous build targets and reduced mid-sprint scope creep.
  • Led quarterly PI planning and PI readouts as Product Lead, including feature deliverable planning, capacity management, risk management, and internal/external dependency scoping across JIRA backlog user stories and anticipated sprint cycles to improve delivery forecasts.
  • Built a change-management process using ServiceNow for approval workflows and GitHub for version-controlled code promotion across dev, test, and production environments. Standardized the Atlassian toolchain (Jira, Confluence) and Aha! as the system of record for product strategy, backlog, and sprint execution — improving cross-team delivery transparency and audit traceability.
  • Defined requirements and acceptance criteria for cloud-based data pipelines ingesting data from Salesforce CRM and multiple operational source systems, delivering analytics-ready datasets to Tableau and Spotfire dashboards used by business stakeholders for operational and performance reporting.
Deloitte Consulting LLP
Mar 2008 – Jun 2016
Consultant → Senior Consultant → Specialist Senior
  • Led the master data management (MDM) component of a large-scale data-migration strategy, transitioning operational data from mainframe systems to Oracle ERP for a global convenience-store franchise. Designed and implemented data-conversion business rules and logic for one of the nation's top retail organizations to migrate operational datasets from mainframe systems to SAP ERP.

Education

Executive MBA — Business Analytics & Entrepreneurship
University of Illinois Urbana-Champaign (UIUC)