Senior Vice President, Product Owner - Data Discovery & Distribution

BNY Mellon

6d

About The Position

BNY is seeking a Senior Vice President, Product Owner to join its Data & Analytics team in Boston. This senior leader within Product Management will define, prioritize, and deliver products and capabilities that improve how data is discovered, accessed, understood, and used across Data & Analytics. The role partners with business, technology, data, and platform stakeholders to translate strategic objectives into a clear product vision and drive strategic alignment, product adoption, and measurable outcomes supporting BNY’s enterprise data objectives.

Requirements

• Bachelor’s degree in Business, Technology, Engineering, Data, or a related field.
• 10–12 years of experience.
• Significant experience in product ownership, product management, or platform leadership.
• Strong understanding of data discovery, data distribution, metadata, governance, and control considerations.
• Demonstrated ability to lead cross-functional teams and influence senior stakeholders in a highly matrixed organization.
• Proven experience translating strategic objectives into product roadmaps, execution plans, and outcome-based measures.
• Strong communication, prioritization, problem-solving, and decision-making skills.
• Experience working in agile delivery environments and with product management practices and tools.

Nice To Haves

• Advanced degree preferred.
• Product ownership, product management, or platform leadership experience preferably within data, analytics, or enterprise platforms.

Responsibilities

• Define and own the product vision, roadmap, and priorities for Data Discovery & Distribution.
• Translate enterprise data strategy and business priorities into product plans, delivery milestones, and measurable outcomes.
• Represent the client’s voice in development-team standups.
• Collaborate across engineering, architecture, data governance, risk, operations, and business teams to deliver scalable and compliant product capabilities.
• Make product prioritization and decisions based on user needs, business value, control requirements, and operational efficiency.
• Establish and monitor product success measures, including adoption, quality, usability, timeliness, and business impact, and adjust priorities as needed.
• Participate in stakeholder engagement, dependency management, and executive communication across a complex, matrixed environment.
• Identify opportunities to build AI-driven capabilities into products, processes, and decision-making.
• Promote strong product operating model practices, including backlog discipline, release planning, issue resolution, and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior