What are the responsibilities and job description for the Data and Analytics Lead - Product Manager - Vice President position at JPMorgan Chase?
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 a Vice President in the Securities Services Chief Data and Analytics Office (CDAO), you will lead the development and execution of our data, AI/ML 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 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.
- Lead the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, and quality.
- Deliver data and AI/ML strategy initiatives, ensuring alignment with business goals, and collaborate with senior leadership to prioritize and execute critical projects.
- Motivate data and AI/ML governance and risk management efforts, providing subject matter expertise and driving collaboration across functions.
Required qualifications, capabilities, and skills:
- 8 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.
- 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.
- Self starter and detail oriented
- Experience and track record in delivering products from ideation to production
Preferred qualifications, capabilities, and skills:
- Extensive product management experience. Experience in data, analytics, and AI/ML is a plus.
- Deep knowledge of data governance and controls.
- Experience with or knowledge of 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.
- 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.
