AI Product Manager
Remote
Full Time
Position Overview
We are seeking an AI Business Analyst / Product Manager to serve as the primary bridge between business stakeholders (VA / Deloitte / Infinite leadership) and the MDE AI engineering team. This role owns the translation of program requirements into actionable AI engineering work, manages the AI team’s backlog and delivery cadence, and coordinates stakeholder communication, acceptance validation, and compliance alignment across the Veteran Portal and MDE4Vets Portal.
Key Responsibilities
1. Requirements Elicitation & Analysis (30%)
Translate VA / VBA requirements, PWS language, VA handbook content, DBQ workflows, and IEPD schema updates into clear user stories, acceptance criteria, and technical specifications for the AI engineering team.
Facilitate discovery and refinement sessions with Infinite tech leads, Deloitte operations, and VA stakeholders.
Document business processes, user journeys, and decision logic that AI agents will support or automate.
Identify requirement conflicts, ambiguities, and gaps early; drive them to resolution.
2. Product Management & Backlog Ownership (25%)
Own the AI team’s backlog in Azure DevOps: refinement, prioritization, sprint planning, and release coordination.
Partner with the Principal and Lead AI/ML Engineers to size, sequence, and schedule work.
Facilitate backlog refinement and story-level alignment between development, QA, and business stakeholders.
Maintain visibility into dependencies with the broader MDE program (legacy EMS, Deloitte USI testing, VBMS integration).
3. Stakeholder Communication & Coordination (20%)
Serve as the primary point of contact between the AI engineering team and Deloitte, VA, and Infinite leadership for AI-related work.
Produce status updates, release readiness summaries, and executive-level briefings on AI delivery progress.
Coordinate acceptance validation, UAT, and sign-off cycles for AI-driven features.
Manage change requests, scope negotiations, and expectations across stakeholders.
4. Documentation & Decision Capture (15%)
Author and maintain product documentation: user stories, acceptance criteria, decision memos, process flows, and release notes.
Capture and distribute meeting outcomes, decisions, and action items.
Contribute to the program’s living reference document capturing institutional knowledge.
5. Governance, Compliance & Risk Coordination (10%)
Partner with engineering counterparts to maintain requirements traceability across the knowledge repository.
Coordinate HIPAA, Section 508, and PII/PHI handling considerations into AI feature design and acceptance.
Flag risks, blockers, and dependencies early; drive mitigation plans.
Required Qualifications
Bachelor’s degree in Business, Information Systems, Computer Science, or related field.
5+ years of experience as a Business Analyst, Product Manager, or similar role in enterprise software environments.
Demonstrated experience managing backlogs and delivery in Agile / Scrum settings using Azure DevOps, Jira, or similar.
Strong written and verbal communication skills; proven ability to brief technical and executive audiences.
Experience eliciting, documenting, and validating complex business and technical requirements.
Preferred Qualifications
Master’s degree in Business, Information Systems, Computer Science, or related field.
Familiarity with MS SQL Server (ability to read queries and understand data models).
Federal government, VA, VBA, or healthcare domain experience.
Experience managing or supporting AI, ML, or data-intensive products.
Familiarity with LLM-based applications, agentic workflows, and prompt engineering concepts (does not need to be hands-on).
Certifications such as CBAP, PMP, PSPO, or CSPO.
Experience with HIPAA, Section 508, and federal compliance frameworks.
US Citizenship, or existing VA approval to access veteran data.
Preferred Tools & Platforms
Azure DevOps (Boards, Repos, Pipelines).
Confluence, SharePoint, or similar documentation platforms.
MS SQL Server; Power BI or similar reporting tools.
Figma, Lucidchart, or similar process and UX documentation tools.