AI Data Product Manager in City of London

Within the broader Insights and Analytics team, the Data Enablement team functions as part of the Insights and Analytics organization and plays a critical role in advancing our data and AI capabilities to support Global Client Groups. We focus on making trusted, relevant, and well-governed data easily accessible to stakeholders across Sales, Marketing, Digital Experience, and Servicing.

As a Data Product Manager for AI Data Products, you will shape and evolve our data and AI product ecosystem, ensuring the availability of high-quality data and scalable AIML-ready foundations. This role is pivotal in driving the modernization of our data platform and enabling intelligent data-driven experiences across the distribution lifecycle.

Responsibilities:

• You will partner closely with Product Engineering, Data Science, and Architecture to gain a deep understanding of our technology ecosystem and identify high-impact opportunities where data analytics and AI can improve decision-making and user outcomes.
• A key focus in the near term will be supporting strategic re-platforming and modernization initiatives that enable a single source of truth for client and business data while laying the groundwork for AI-driven insights, predictive capabilities, and automation.
• You will challenge the organization to think boldly about how data and AI can create differentiated value while also delivering reliable, well-governed data products that meet today's business needs.
• You define and execute a comprehensive data and AI product strategy, synthesizing market trends, user needs, and stakeholder input into a cohesive vision and execution plan.
• You translate strategy into a clear product roadmap, prioritizing data and AI capabilities that deliver measurable impact for users and the business.
• You have led the design and operationalization of solutions focused on data quality, metadata management, governance, lineage, taxonomy, and AI readiness feature stores, training data quality, and model inputs.
• You manage the end-to-end product development lifecycle, delivering data and AI-enabled features iteratively to solve real business problems.
• You partner closely with Data Science and Engineering teams to enable AIML use cases such as advanced analytics, personalization, predictive modeling, and intelligent automation.
• You establish strong partnerships with business and technology stakeholders, creating continuous feedback loops to refine product value and adoption.
• You develop a deep understanding of upstream and downstream systems to shape data models, APIs, and AI consumption patterns.
• You ensure thoughtful product evolution, addressing product lifecycle management, adoption and migration experiences, and clear enablement for users.
• You drive product discovery, requirements definition, and feature prioritization using modern product and agile best practices informed by data and user insights.

Qualifications:

• 5 years of Product Management experience with a proven track record of launching and scaling data platforms and/or AI-enabled products.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; Master's degree preferred.
• Experience managing B2B or B2B2C data and AI products throughout the full product lifecycle, ideally within Financial Services, Asset Management, or another highly regulated industry.
• Hands-on experience working with data platforms, analytics tools, and AIML ecosystems (e.g., data warehouses, lakes, feature stores, model pipelines, MLOps concepts).

Required Skills:

• Ability to perform and interpret data analysis and profiling using SQL, Python, and data visualization tools to inform product decisions.
• Strong ability to prioritize and communicate product roadmaps across diverse business functions and geographies.
• Comfort operating in ambiguity with the ability to adapt product strategy as AI capabilities, business needs, and partner priorities evolve.
• Exceptional written and verbal communication skills with the ability to influence audiences ranging from senior leaders to engineers and data scientists.
• Ability to inspire and lead cross-functional teams including product managers, architects, engineers, data scientists, and business partners.
• High curiosity and a desire to deeply understand and simplify complex data and AI domains.
• Proficiency in applying both qualitative and quantitative methods to define, measure, and continuously improve product success.
• Entrepreneurial mindset with a bias for action, comfortable rolling up your sleeves and turning incomplete or conflicting inputs into clear execution plans.
• A high bar for product excellence.

Preferred Skills:

• BA - Marketing