Securities Services - AI/ML Product Manager - Vice President

J.P. Morgan; City Of London; On-site; GBP 100,000 - 140,000; Full time

Job summary

A leading global financial institution is seeking a Vice President to lead the AI/ML strategy and governance within their Securities Services unit. The successful candidate will drive the development of a scalable data and AI platform, working closely with cross-functional teams to innovate and enhance business processes. Ideal applicants will have a strong background in product management and financial services, along with excellent communication and leadership skills.

Qualifications

• Proven track record in developing and delivering enterprise-scale data and AI/ML strategy.
• Extensive product management experience, preferably in financial services.
• Strong strategic thinking and decision-making skills.

Responsibilities

• Drive development and delivery of strategic AI/ML platform.
• Collaborate with leaders to prioritize data and AI/ML needs.
• Oversee end-to-end AI model lifecycle from ideation to optimization.

Skills

Developing enterprise-scale data and AI/ML strategy

Product management experience

Financial services industry expertise

Leadership and mentoring

Strong analytical skills

Excellent communication skills

Tools

Cloud-based data platforms (AWS, Azure, Google Cloud)

Data governance tools

AI technologies

Job description

Job summary

As a Vice President in the Securities Services Chief Data and Analytics Office (CDAO), you will lead the development and execution of our AI/ML strategy and governance. Collaborating across business areas, operations, quantitative research, data science, 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

• Drive the development and delivery of our strategic AI/ML platform.
• 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.
• Oversee the end-to-end AI model lifecycle, from ideation and development to deployment and optimization.
• Provide thought leadership, monitor industry trends, and emerging technologies to identify AI/ML opportunities to transform business processes and scale Custody, Fund Accounting, and Trading Services product.
• 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.
• Drive data and AI/ML governance and risk management efforts, providing subject matter expertise and driving collaboration across functions.

Required qualifications, capabilities, and skills

• Relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy.
• Extensive product management experience. Experience in data, analytics, and AI/ML is a plus.
• Financial services industry domain expertise at large global organizations.
• 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.
• Experience and track record in delivering products from ideation to production

Preferred qualifications, capabilities, and skills

• Deep experience in productionalizing AI solutions for business adoption
• Experience with AI technologies
• Demonstrable track record in delivering scalable AI solutions
• Background in program management for quant projects 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.
• Experience with advanced analytics, machine learning, or artificial intelligence applications in a business context. Experience in agile methodologies is a plus.