Vice President, POM Technical Product Manager – Government Solutions

BNY

. Convert roadmap items and client requests into detailed requirements, epics, and user stories .

Posted 11/10/2026full-timeUnited StatesLead💰 $69,000 - $143,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in converting client requests into detailed requirements, user stories, and acceptance criteria while utilizing SQL and AI-assisted tools for data analysis and documentation. Proficient in agile methodologies and collaboration across cross-functional teams in regulated environments.

Highest-signal resume keywords

SQL Data ProfilingUser Story WritingAPI Integration KnowledgeAgile MethodologiesAI-Assisted Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Detailed Requirements WritingTest Case DevelopmentData MappingAnalytical SkillsProblem-Solving SkillsTechnical WritingRelational Database ManagementData ReconciliationAcceptance Criteria DefinitionVersion Control

Soft Skills

CollaborationCommunicationAttention to DetailAdaptabilityCritical Thinking

Tools & Technologies

JIRAConfluenceTest Management ToolsAI ToolsData Analytics Tools

Certifications & Qualifications

Bachelor's DegreeMBA or Advanced Degree

Industry Keywords

Financial ServicesGovernment ProgramsFintechRegulated EnvironmentsData-Intensive Applications

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Convert roadmap items and client requests into detailed requirements, epics, and user stories
Define acceptance criteria, business rules, edge cases, and exception paths
Drive backlog refinement with engineering and QA
Write and maintain field-level specifications for APIs, files, and data feeds
Coordinate specification changes across federal agencies, providers, and internal platforms
Design practical happy-path, exception, and regression test cases
Maintain reusable test data sets
Lead user acceptance and cross-party testing cycles
Produce structured, version-controlled specifications, stories, and test cases for people and AI-assisted tools
Use AI tools for drafting, analysis, and test generation while verifying accuracy and data-protection compliance
Use SQL and analytics tools to profile, reconcile, and analyze program data
Produce recurring and ad hoc analyses for clients, operations, and leadership
Investigate production data issues and trace records across systems
Distinguish defects from enhancements and write root-cause summaries
Maintain process flows, business rules, runbooks, release notes, and decision records
Collaborate with product owners, engineers, QA, operations, risk, and client teams across multiple pods
Support launch readiness and control evidence
Help product owners and analysts with requirements, story-writing, and test-design standards
Contribute reusable templates and AI-assisted workflows

Requirements

What you’ll need

Bachelor's degree in finance, Business, Computer science, or a related field
Minimum 5 years of experience in product management
Experience preferably within financial services, government, or fintech
Experience writing detailed requirements, user stories with acceptance criteria, and test cases for complex, data-intensive applications
Strong hands-on data skills, including SQL, data profiling, and reconciliation
Comfort with relational databases and large data sets
Working knowledge of APIs and file-based integrations, including JSON, XML, CSV, fixed-width files, and ACH/NACHA
Knowledge of data mapping
Experience using AI-assisted tools for documentation, analysis, development, or testing
Experience with agile delivery and tools such as JIRA, Confluence, and test management tools across multiple scrum teams
Experience supporting government programs or highly regulated environments preferred
Ability to handle sensitive data such as personally identifiable information or federal tax information preferred
Clear, precise technical writing skills
Strong analytical and problem-solving skills
Ability to meet program-specific background check, confidentiality, and work-location requirements
MBA or relevant advanced degree desirable
Python or similar is a plus
Experience in AI-first or spec-driven development environments preferred

Benefits

Comp & perks

Highly competitive compensation
Flexible global resources and tools
Wellbeing programs
Paid leaves, including paid volunteer time
Annual discretionary incentive award eligibility
401(k) plan
Company-sponsored medical insurance
Company-sponsored dental insurance
Company-sponsored vision insurance
Basic life insurance for employee and eligible dependents
Vacation and sick time
Equal Employment Opportunity/Affirmative Action protections