✦ Luna Orbit — Product Management

Untitled Position

at Company

Unknown Posted March 30, 2026
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Position Details

Type Not Specified
Experience executive
Exp. Years 7+ years
Education Not specified
Category Product Management

About this role

Vice President, AI Oversight and Governance leads end-to-end governance of AI-enabled product capabilities within Wealth Management Platforms. The role oversees intake, risk review, governance alignment, and post-production monitoring, collaborating across Product, Engineering, Data/ML, Security, Risk/Compliance, Legal, Privacy, and Platform teams.

Key Responsibilities

  • AI use case intake and prioritization
  • Governance-by-Design for Agentic AI and RAG inputs
  • Define oversight patterns for agent orchestration
  • Align with firmwide AI governance and Data governance standards
  • Produce executive-ready reporting

Technical Overview

Role focuses on governance design for agentic AI and RAG within a cross-functional product organization. Requires experience translating risk and policy into product requirements, coupled with hands-on governance in AI/ML production environments. Tools mentioned include Excel, Word, Visio, and PowerPoint for reporting.

Ideal Candidate

The ideal candidate is a senior product leader with 7+ years of product management experience, strong AI governance knowledge, and proven ability to deliver AI-enabled capabilities in regulated environments (financial services). This person excels at cross-functional leadership, stakeholder alignment, and producing executive-ready reporting on risk and governance posture.

Must-Have Skills

7+ years of Product Management experienceDemonstrated experience delivering AI/ML or LLM-enabled product capabilities in productionHands-on familiarity with agentic AI patterns and orchestration concepts (tools/actionsplanning/execution loopsguardrailshuman-in-the-loop design)Proven track record working across engineering and data/ML teams to ship complex systems with measurable outcomesStrong ability to translate riskcontrolsand policy requirements into product requirements and delivery workflowsExperience operationalizing or mapping to AI governance/risk frameworksExperience partnering with Security and Risk teams on LLM/agentic security risks (e.g.prompt injectionsensitive info disclosureaccess controls)

Nice-to-Have Skills

Experience operationalizing AI governanceFamiliarity with data governance standardsExperience with security and privacy reviewsExperience with large or multi-national companies

Required Skills

AI governanceAI Use Case Intakeagent orchestrationRetrieval-Augmented GenerationRAGagentic AILLMAI risk managementdata governancegovernance frameworksrisk reviewproduction readinesspost-launch monitoringstakeholder managementexecutive reportingExcelWordVisioPowerPoint

Hard Skills

AI governanceAI Use Case Intakeagent orchestrationRetrieval-Augmented GenerationRAGagentic AILLMAI risk managementdata governancegovernance frameworksrisk reviewProduction ReadinessPost-launch monitoringstakeholder managementexecutive reportingExcelMicrosoft WordVisioPowerPoint

Soft Skills

communicationstakeholder managementcross-functional collaborationproblem-solvingvision and strategic thinkingattention to detail

Industry & Role

Industry Banking
Job Function Own AI-enabled servicing governance and lifecycle delivery across Wealth Management Platforms with a focus on risk, security, and post-launch monitoring.
Role Subtype Product Owner
Tech Domains Tableau, Power BI, SQL / PostgreSQL, Python, JavaScript, Amazon Web Services, Azure, OpenSearch, Elasticsearch

Keywords for Your Resume

AI Product ManagementVice PresidentProduct ManagementAI governanceRetrieval-Augmented GenerationRAGagent orchestrationLLMagentic AIAI risk managementdata governancegovernance frameworksrisk reviewProduction ReadinessPost-launch monitoringstakeholder managementexecutive-ready reportingExcelMicrosoft WordVisioPowerPointRegulated environmentsfinancial servicesai governancellmragproduction readinessexecutive reportingrisk managementcross-functional leadership

Deal Breakers

not able to demonstrate 7+ years product management experience, unable to obtain or lack of security clearance (if required), not experienced with AI governance or risk frameworks

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