Vice President, POM Technical Product Manager - Government Solutions

We are seeking a Vice President, POM Technical Product Manager for our Government Solutions team, part of the Structured Debt platform. This role would be based out of our New York, NY and Pittsburgh, PA offices.

Government Solutions builds and runs data-intensive platforms for large-scale federal programs. These platforms process millions of account records, contributions and payments, and exchange data with federal agencies and outside providers. As a Technical Product Manager, you turn product decisions into precise, buildable and testable work: detailed requirements, user stories, interface specifications and practical test cases that engineers, and the AI-assisted development and testing tools they use, can implement correctly the first time. You will also work hands-on with the data that flows through our applications, supporting operations, clients and engineering when questions come up in production.

In this role, you'll make an impact in the following ways:

• Requirements and story development: Turns roadmap items and client requests into detailed requirements, epics and user stories with clear acceptance criteria, business rules, edge cases and exception paths. Drives backlog refinement with engineering and QA so stories are ready before the sprint starts.
• Interface and data specifications: Writes and maintains field-level specifications for APIs, files and data feeds exchanged with federal agencies, providers and internal platforms, covering required and optional fields, validations, formats, control totals and versioning. Coordinates specification changes across all parties.
• Test case design and acceptance: Writes clear, practical test cases and scenarios (happy path, exception and regression) traced back to requirements. Helps build and maintain reusable test data sets, leads user acceptance and cross-party test cycles, and signs off on readiness evidence.
• AI-first documentation: Produces structured, version-controlled specifications, stories and test cases that both people and AI-assisted development and testing tools can use. Uses AI tools to speed up drafting, analysis and test generation, while checking the output for accuracy, completeness and data-protection compliance.
• Data analysis: Uses SQL and analytics tools to profile, reconcile and analyze program data such as funding, contribution, submission and exception populations. Produces recurring and ad hoc analyses for clients, operations and leadership, and sizes issues to inform prioritization.
• Data-intensive application support: Serves as the product point of contact for production questions. Investigates data issues, traces records across systems, separates defects from enhancements, and writes clear tickets and root-cause summaries with production support and engineering.
• Documentation and knowledge management: Keeps process flows, business rules, runbooks, release notes and decision records current, so operations, client service and new team members can rely on a single source of truth.
• Collaboration and quality: Works with product owners, engineers, QA, operations, risk and client teams across multiple pods. Raises requirement gaps, dependencies and risks early, and supports launch readiness and control evidence.
• Practice: Helps other product owners and analysts on requirements, story-writing and test-design standards, and contributes reusable templates and AI-assisted workflows to the team.

To be successful in this role, we're seeking the following:

• Bachelor's degree in finance, Business, Computer science, or a related field. MBA or relevant advanced degree is desirable.
• Minimum 5 years of experience in product management, preferably within the financial services, government, or fintech industry.
• Demonstrated experience writing detailed requirements, user stories with acceptance criteria, and test cases for complex, data-intensive applications such as payments, recordkeeping, account servicing or reporting platforms.
• Strong hands-on data skills: SQL, data profiling and reconciliation, comfort with relational databases and large data sets. Python or similar is a plus.
• Working knowledge of APIs, file-based integrations (e.g., JSON, XML, CSV and fixed-width files, ACH/NACHA) and data mapping.
• Experience using AI-assisted tools for documentation, analysis, development or testing, with sound judgment about verifying the output. Experience in AI-first or spec-driven development environments preferred.
• Experience with agile delivery and tools (e.g., JIRA, Confluence, test management tools) across multiple scrum teams.
• Experience supporting government programs or other highly regulated environments, including handling sensitive data such as personally identifiable information or federal tax information, preferred.
• A clear, precise writer who can explain technical detail to operations, clients and engineers, with strong analytical and problem-solving skills and a commitment to a good user experience.
• Ability to meet program-specific background check, confidentiality and work-location requirements.