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BNY · 3 hours ago

Senior Vice President, POM Product Management

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

$102K/yr - $210K/yr

10+ years exp

BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. The Senior Vice President of Product Management will lead the implementation of AI models and tools to enhance decision-making and operational efficiency, while ensuring Responsible AI practices throughout the product development lifecycle.

Financial Services

Responsibilities

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

Qualification

AI product managementML/AI implementationFinancial services experienceMetrics & storytelling fluencyTechnical direction managementStrategic roadmap creationStakeholder managementSQLBI toolsCommunication skillsDecision-making skills

Required

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

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