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BNY

Safeguards and moves assets for investors

Vice President AI Program Lead

AI & Machine LearningConfirmed live in the last 24 hours
Full-timePittsburgh, PA, USA$69k - $146kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
  • Prior experience in AI/ML, analytics, data science, or a related technical discipline.
  • Demonstrated experience leading projects, workstreams, or teams in a cross-functional environment.
  • Experience working with business stakeholders to translate strategic priorities into practical technology or analytics solutions.

Responsibilities

  • Lead identification and prioritization of business processes where AI/ML, analytics, and automation can deliver measurable value.
  • Oversee end-to-end development, validation, deployment, and monitoring of AI and machine learning solutions.
  • Guide the team in data preparation, feature engineering, exploratory analysis, and solution design to support modeling efforts.
  • Ensure AI solutions are scalable, practical, and aligned to business objectives, operational needs, and enterprise architecture standards.
  • Monitor solution performance after deployment and drive continuous improvement opportunities.
  • Lead, coach, and develop POD team members, creating a high-performing team environment focused on delivery, innovation, and accountability.
  • Set priorities, assign work across the POD, and ensure execution against timelines and business commitments.
  • Serve as the primary escalation point for delivery, resource, and execution issues within the POD.
  • Foster collaboration across business, operations, and technology stakeholders to remove blockers and maintain momentum.
  • Provide mentorship to team members on AI/ML practices, business analysis, and stakeholder engagement.
  • Partner with product owners, AI Hub, Ops Hub, platform teams, and business units to define requirements and ensure AI solutions achieve intended business outcomes.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders and senior leadership.
  • Work with data engineering and technology teams to integrate AI solutions into scalable production workflows.
  • Facilitate stakeholder alignment on objectives, scope, risks, dependencies, and success measures for AI initiatives.
  • Ensure POD activities adhere to responsible and ethical AI practices in line with enterprise governance frameworks.
  • Oversee testing, validation, and documentation to support model accuracy, fairness, transparency, and compliance.
  • Partner with control, risk, and compliance stakeholders to ensure AI solutions meet applicable standards and review requirements.
  • Promote disciplined delivery practices that balance innovation with risk management and control execution.
  • Stay current with emerging AI trends, tools, and techniques, and assess their relevance to business opportunities within the POD.
  • Research new methodologies and present recommendations to enhance internal AI capabilities.
  • Champion adoption of AI solutions by helping stakeholders understand business value, change impacts, and implementation considerations.
  • Contribute to the broader AI community within BNY by sharing insights, best practices, and lessons learned across teams.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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