AI Product Management - Vice President

Overview

Wealth Management Platforms – Vice President, Artificial Intelligence Oversight and Governance. This role is within the Product organization and part of the Wealth Management Platforms team. The role is accountable for end-to-end governance of AI-enabled product capabilities, including agentic AI use cases, agent orchestration, and Retrieval-Augmented Generation (RAG) implementations. Responsibilities include intake management, risk review, prioritization by value, alignment to governance frameworks, and post-production monitoring.

The PM Lead will work cross-functionally with Product, Engineering, Data/ML, Security, Risk/Compliance, Legal/Privacy, and platform teams to operationalize trustworthy, secure, and compliant AI practices at scale, while enabling teams to deliver high-value AI agents quickly and safely. The program will be grounded in AI risk and governance frameworks and will incorporate LLM/agentic security considerations.

• AI Use Case Intake, Triage, and Prioritization: establish and operate an AI use case intake workflow (new agents, agent enhancements, model changes, new RAG inputs, new tools/actions, new prompts/policies).
• Build and maintain a prioritized roadmap of AI agent opportunities, ensuring delivery focus on high-value agents while accounting for risk and governance requirements.
• Governance-by-Design for Agentic AI RAG inputs: partner with engineering and data teams to embed governance controls into the AI delivery lifecycle (requirements, build, test, launch, monitor).
• Define oversight patterns for agent orchestration (tool access, action permissions, escalation/human-in-the-loop checkpoints, auditability, fallback behavior).
• Ensure alignment to firmwide AI governance and Data governance standards.
• Risk Management, Control Alignment, and Review Cadence: operationalize AI risk management practices within the organization aligned to recognized firmwide frameworks.
• Align program design to AI management system concepts (policy/objectives, lifecycle controls, monitoring/performance evaluation, continual improvement).
• Address agentic/LLM security risks (e.g., prompt injection, insecure output handling, sensitive information disclosure) and integrate mitigations into product requirements and acceptance criteria.
• Production Readiness and Post-Launch Monitoring: define and run an AI production readiness process including evaluation sign-off, privacy/security review, model/tooling change management, and operational runbooks.
• Establish post-launch monitoring requirements: quality metrics, safety metrics, drift signals, abuse signals, incident response playbooks, and periodic re-review.
• Support a recurring governance forum (AI review board) operating model: ensure new use cases are reviewed, decisions recorded, and exceptions tracked with time-bound remediation.
• Stakeholder Management and Operating Model: serve as the connective tissue across Product, Engineering, Data/ML, Security, Privacy, Legal, Compliance, and Platform teams.
• Clarify roles and decision rights to reduce friction in delivery and enable teams to move fast without bypassing controls.
• Produce clear executive-ready reporting: roadmap, risk posture, incidents, governance throughput (cycle time), and outcomes.

• 7+ years of Product Management experience, including leading cross-functional platform or governance programs.
• Demonstrated experience delivering AI/ML or LLM-enabled product capabilities in production.
• Hands-on familiarity with agentic AI patterns and orchestration concepts (tools/actions, planning/execution loops, guardrails, human-in-the-loop design).
• Proven track record working across engineering and data/ML teams to ship complex systems with measurable outcomes.
• Strong ability to translate risk, controls, and policy requirements into product requirements and delivery workflows.
• Sets and carries out objectives, and fosters a culture of performance and continuous improvement.
• Excellent partnering skills; proven ability to collaborate with various levels of employees.
• Enjoys building initiatives from the ground-up and delivering on complex projects.
• Excellent communication skills…