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BNY

Safeguards and moves assets for investors

Senior Vice President, Applied AI Technical Product Manager

Technical Product ManagementPosted on Nov 9
Full-timeNew York, NY, USA$104k - $253k

About the Job

Requirements

  • Eight to ten years of experience in Applied AI product management, AI-enabled product development, or enterprise software delivery.
  • Strong understanding of AI-powered product capabilities, generative AI, intelligent automation, and agentification.
  • Experience working with engineering and data science teams to deliver applied AI products.
  • Knowledge of enterprise architecture patterns, including APIs, microservices, and distributed systems.
  • Ability to translate complex business challenges into scalable technical solutions.
  • Strong product delivery, prioritization, and stakeholder management skills.
  • A bachelor's degree in STEM or a related discipline is required.
  • A bachelor's degree in a technical-related field, typically Engineering or Computer Science, or equivalent work experience is required.
  • Three to five years of experience in a technical or engineering role and subject-matter expertise in the technology.
  • Seven or more years of proven experience as a technical product manager.
  • Strong technical experience and ability to communicate and present complex information to technical and non-technical audiences.
  • Experience with agile methodologies and successful product launches.
  • Strong project management skills and ability to prioritize and manage multiple projects simultaneously.
  • Deep product management expertise, excellent leadership skills, and strong business judgment.

Responsibilities

  • Execute the applied AI product roadmap in alignment with enterprise AI strategy and platform priorities.
  • Translate business needs into product requirements, backlog priorities, and release plans.
  • Identify opportunities for AI-enabled automation within specific domains or workflows.
  • Work with engineering and data science teams to refine technical solutions and product features.
  • Translate operational challenges into AI-enabled features, automation workflows, or decision-support tools.
  • Support development of large language model-powered solutions, intelligent automation, and agent-enabled workflows.
  • Work with platform teams to implement AI capabilities within existing business processes.
  • Lead delivery of specific AI products or capabilities across product, engineering, and data science teams.
  • Coordinate development, testing, and deployment of AI-enabled solutions.
  • Remove blockers and ensure alignment within product delivery teams.
  • Work with engineering, data science, and operational stakeholders to deliver AI product features.
  • Communicate requirements, priorities, and delivery progress.
  • Help translate technical capabilities into practical business outcomes.
  • Track product-level metrics such as automation adoption, workflow efficiency, and user engagement.
  • Use feedback and data to iterate and improve AI product performance.
  • Contribute to data, analytics, technology, and software product development and strategy for moderately sized products of limited complexity or small, non-complex products.
  • Support more experienced colleagues with competitive, market, and financial analysis related to platforms, products, and services.
  • Drive development of key technical products and solutions with significant impact.
  • Serve as a thought leader and expert within the technical product management team and across the organization.
  • Collaborate with VP Technical Product Managers and Directors to align and execute technical product strategy.
  • Influence product direction at a strategic level, often for products critical to the business or highly innovative.

Desired Qualifications

  • Experience implementing large language model-based solutions or intelligent automation platforms.
  • Familiarity with AI lifecycle management, model monitoring, and observability tools.
  • Experience working in regulated or enterprise environments.
  • Certifications such as CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, or a Generative AI specialization.
  • An advanced degree is preferred.

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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