AI Data Product Manager

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.

About the Role

As a Data Product Manager 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 todays 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 andor AI enabled products.
• Bachelors degree in Statistics Mathematics Computer Science Engineering or a related field Masters 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 eg 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 excell.

Preferred Skills

• BA - Marketing