BNY

Senior Vice President, POM Product Management

BNY

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $102,000 - $210,000 per year

Job Level

Senior

Tech Stack

SQLTableau

About the role

  • Lead implementation of AI models and tools - including ML, NLP, LLM, and intelligent automation - to enhance decision-making, strengthen risk controls, and drive operational efficiency.
  • Define success metrics and instrumentation, run controlled experiments, monitor model drift, and enable rollback/kill-switches and human-in-the-loop workflows to ensure reliability and safety.
  • Ensure Responsible AI practices by embedding governance, explainability, fairness, privacy, and compliance into every stage of product development - from model documentation and validation to audit trails.
  • Stay ahead of emerging AI/ML trends and regulatory developments, conducting build/buy/vendor assessments in collaboration with InfoSec, Third-Party Risk, and Compliance teams.
  • Communicate product vision and strategy clearly to executives, stakeholders, and clients, influencing direction at a strategic and organizational level.
  • Establish and manage the operating rhythm for AI products, including weekly scorecards, monthly and quarterly business reviews, and OKR tracking.
  • Own the AI product metrics taxonomy and performance dashboards, ensuring all KPIs and success metrics are measurable, actionable, and aligned with business outcomes.
  • Prepare concise executive readouts and narrative memos that translate data into decisions - highlighting priorities, funding needs, and resourcing recommendations, with clear escalation of risks or issues.
  • Drive data quality for reporting by defining event schema, validating telemetry, and partnering with analytics teams to resolve data gaps and improve instrumentation integrity.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Finance, or related field (or equivalent experience); advanced degrees or AI certifications are a plus.
  • 10+ years of product management experience, with 3+ years building or scaling AI/ML or intelligent automation products in production.
  • Prior experience in financial services (e.g., onboarding/KYC/AML, risk, operations, client service) preferred.
  • Demonstrated ability to create strategic roadmaps and ship iteratively across multiple scrum teams in a highly matrixed environment.
  • Working knowledge of ML/LLM concepts (data pipelines, model evaluation, prompt/RAG design, human‑in‑the‑loop, MLOps/monitoring).
  • Metrics & storytelling fluency - experience building executive dashboards, setting OKRs, and turning data into clear recommendations; basic SQL or BI tooling literacy (e.g., Tableau/Power BI/Looker) is a plus.
  • Experience managing daily technical and design direction in partnership with Engineering, Data Science, and Design.
  • Excellent stakeholder management, communication, and decision‑making skills; proven track record of driving innovation and leading through change.
Benefits
  • Access to flexible global resources and tools
  • Focus on your health
  • Foster personal resilience
  • Reach financial goals
  • Generous paid leaves

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI modelsMLNLPLLMintelligent automationdata pipelinesmodel evaluationMLOpsSQLBI tooling
Soft skills
stakeholder managementcommunicationdecision-makingstrategic roadmap creationinnovationleading through changeinfluencingdata storytellingcollaborationproblem-solving
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in FinanceAI certifications
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