Senior Vice President, Product Owner - Data Discovery & Distribution

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<p>We’re seeking a future team member for the role of Senior Vice President, Product Owner - Data Discovery &amp; Distribution to join our Data &amp; Analytics team. This role is located in Boston.</p><p>The Senior Vice President, Product Owner is a senior leader within the Product Management function, responsible for defining, prioritizing, and delivering products and capabilities that improve how data is discovered, access, understood and used across Data &amp; Analytics.&nbsp;&nbsp;This role partners closely with business, technology, data, and platform stakeholders to translate strategic objectives into a clear product vision.&nbsp;&nbsp;The successful candidate will drive strategic alignment, product adoption, and measurable outcomes in support of BNY’s enterprise data objectives.</p><p style="line-height: 13.8pt; margin-bottom: 8pt;"><span style="color: black;">&nbsp;</span></p><p style="line-height: 13.8pt; margin-bottom: 8pt;"><span style="color: black;">In this role, you’ll make an impact in the following ways:</span></p><ul style="list-style-type: disc;"><li style="color: black;"><span role="presentation">Define and own the product vision, roadmap, and priorities for Data Discovery &amp; Distribution.</span></li><li style="color: black;"><span role="presentation">Translate enterprise data strategy and business priorities into clear product plans, delivery milestones, and measurable outcomes.</span></li><li style="color: black;"><span role="presentation">Represent the client’s voice in the development-teams standups.&nbsp;</span></li><li style="color: black;"><span role="presentation">Participate in cross-functional collaboration across engineering, architecture, data governance, risk, operations, and business teams to deliver scalable and compliant product capabilities.</span></li><li style="color: black;"><span role="presentation">Drive prioritization and product decisions based on user needs, business value, control requirements, and operational efficiency.</span></li><li style="color: black;"><span role="presentation">Establish and monitor product success measures, including adoption, quality, usability, timeliness, and business impact, and adjust priorities as needed.</span></li><li style="color: black;"><span role="presentation">Participate in stakeholder engagement, dependency management, and executive communication across a complex, matrixed environment.</span></li><li style="color: black;"><span role="presentation">Identify opportunities to build AI-driven capabilities into products, processes, and decision-making.</span></li><li style="color: black;"><span role="presentation">Promote strong product operating model practices, including backlog discipline, release planning, issue resolution, and continuous improvement.</span></li></ul><p style="line-height: 13.8pt; margin-bottom: 8pt;">&nbsp;</p><p style="line-height: 13.8pt; margin-bottom: 8pt;"><span style="color: black;">To be successful in this role, we’re seeking the following:</span></p><ul style="list-style-type: disc;"><li style="color: black;"><span>Bachelor’s degree in Business, Technology, Engineering, Data, or a related field; advanced degree preferred.</span></li><li style="color: black;"><span>10-12 years of experience.</span></li><li style="color: black;"><span>Significant experience in product ownership, product management, or platform leadership, preferably within data, analytics, or enterprise platforms.</span></li><li style="color: black;"><span>Strong understanding of data discovery, data distribution, metadata, governance, and control considerations.</span></li><li style="color: black;"><span>Demonstrated ability to lead cross-functional teams and influence senior stakeholders in a highly matrixed organization.</span></li><li style="color: black;"><span>Proven experience translating strategic objectives into product roadmaps, execution plans, and outcome-based measures.</span></li><li style="color: black;"><span>Strong communication, prioritization, problem-solving, and decision-making skills.</span></li><li style="color: black;"><span>Experience working in agile delivery environments and with product management practices and tools.</span><br><br><br>&nbsp;</li></ul>

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