Data and Analytics Lead - Product Manager - Executive Director

Join a transformative team at J.P. Morgan, where your leadership will shape the future of data and AI/ML products in Securities Services. Be at the forefront of innovation, driving change and delivering impactful business outcomes.

As an Executive Director in the Securities Services Chief Data and Analytics Office (CDAO), you will spearhead the development and execution of our data strategy and governance. Collaborating across business areas, operations, and technology teams, you will define and deliver a scalable data and AI platform. Your role is crucial in shaping the strategic data and AI/ML agenda globally, driving innovation, and advancing our digital agenda through data, analytics, and AI/ML.

Job responsibilities:

• Provide strategic thought leadership on developing and delivering data solutions that support business operations, strategic objectives, and advanced analytics, AI/ML.
• Collaborate with senior business and functional leaders to identify, define, and prioritize critical data and AI/ML needs, ensuring effective governance and integration.
• Design and deliver products by integrating data into analytics platforms for projects such as machine learning and artificial intelligence.
• Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality.
• Direct the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, and quality.
• Oversee data and AI/ML strategy initiatives, ensuring alignment with business goals, and collaborate with senior leadership to prioritize and execute critical projects.
• Manage and mentor staff, driving teams toward execution milestones and mitigating risks and inefficiencies.
• Lead data and AI/ML governance and risk management efforts, providing subject matter expertise and driving collaboration across functions. 
• 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) 
• Excellent interpersonal skills to both partner with and influence stakeholders 
• Strong management and leadership skills, including demonstrated success leading organization through significant change to achieve results

Required qualifications, capabilities, and skills:

• 15 years of relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy.
• Financial services industry domain expertise at large global organizations.
• Experience working in a matrix structure with senior management/executive-level updates.
• Ability to lead and mentor cross-functional teams with strong strategic thinking and decision-making skills.
• Deep understanding of data management principles, governance frameworks, and lifecycle management.
• Strong analytical and problem-solving skills, translating complex data concepts into actionable business strategies.
• Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders.
• Understanding of regulatory and control landscape and its impact on strategy and delivery.
• Extensive product management experience in data, analytics, and AI/ML.

Preferred qualifications, capabilities, and skills:

• Experience in analytics (e.g., SQL or Python) with the ability to analyze data for decision-making.
• Deep knowledge of data governance and controls.
• Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.
• Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
• Understanding of Hadoop or Public Cloud related technologies.
• Experience in agile methodologies is a plus.
• Bachelor’s or advanced degree in a related discipline; MBA or any other advanced degree is a plus. 
• Management consulting skillset (impact orientation, business understanding, program management, executive presence)

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