<p>JobID: 210729687</p> <p>Category: Product Portfolio & Delivery</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2026-03-31T14:17:20+00:00</p> <p>JobShift:</p> <p>Base Pay/Salary: New York,NY $166,250.00-$260,000.00</p> <p>Join JPMorganChase's Securities Services Chief Data and Analytics Office and lead the transformation of data and AI/ML products. Be at the forefront of innovation, collaborating across business, operations, and technology teams to deliver scalable solutions that drive business results and shape the global strategic agenda.</p> <p>As the Data and Analytics Lead Product Manager, you will define and deliver the data and AI/ML strategy for Securities Services. You will work across a matrixed organization, partnering with CIB-wide and firmwide teams to establish a target state data operating model, drive innovation, and deliver tangible business outcomes. This role is ideal for candidates with a proven track record in data and AI/ML strategy, who thrive in collaborative environments and are passionate about advancing digital and analytics agendas.</p> <p>Job responsibilities</p> <ul> <li>Provide strategic thought leadership on developing and delivering data solutions that support business operations, strategic objectives, and advanced analytics, AI/ML. </li><li>Collaborate with senior business and functional leaders, product owners, and analytics leads to identify, define, and prioritize critical data and AI/ML needs, ensuring effective governance and utilization across the business. </li><li>Design and deliver products by integrating data into analytics platforms to support projects such as machine learning and artificial intelligence. </li><li>Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality across business areas and functions. </li><li>Direct the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, storage, use, and quality. </li><li>Oversee data and AI/ML strategy initiatives, ensuring alignment with business goals, and collaborate with senior leadership to prioritize and execute critical projects. </li><li>Manage and mentor staff, both direct and matrixed; drive teams toward execution milestones and mitigate risks, bottlenecks, and inefficiencies. </li></ul> <p>Required qualifications, capabilities, and skills</p> <ul> <li>15+ years of relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy. </li><li>Financial services industry domain expertise at large global organizations (sell side or buy side). </li><li>Experience working in highly matrixed structures and hands-on experience with senior management/executive level updates and presentations. </li><li>Ability to lead and mentor cross-functional teams, with strong strategic thinking and decision-making skills. </li><li>Deep understanding of data management principles, governance frameworks, and lifecycle management, including data protection, quality, and classification. </li><li>Strong analytical and problem-solving skills, translating complex data concepts into actionable business strategies. </li><li>Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders. </li></ul> <p>Preferred qualifications, capabilities, and skills</p> <ul> <li>Understanding of regulatory and control landscape and its impact on strategy and delivery. </li><li>Management consulting skillset (impact orientation, business understanding, program management, executive presence). </li><li>Extensive product management experience in data, analytics, and AI/ML. </li><li>Experience in analytics (e.g., SQL or Python) and ability to analyze data to make decisions. </li><li>Deep knowledge of data governance and controls. </li><li>Experience and knowledge of vendor technologies in data and AI/ML (e.g., Collibra, Informatica, Cloud, data mesh architecture, data quality, data lineage, data catalog, data transport, document digitization, LLM models, etc). </li><li>Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud. </li><li>Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context. </li><li>Understanding of Hadoop or Public Cloud related technologies and their applications. </li><li>Understanding of application development process. </li><li>Experience in agile methodologies is a plus. </li><li>Bachelor's or advanced degree in a related discipline (Computer Science, Engineering, etc.); management consulting experience is preferable but not required. </li><li>MBA or any other advanced degree is a plus, not a requirement. </li></ul>