Responsibility
* 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
What Were Looking For
* 5 years of Product Management experience with a proven track record of launching and scaling data platforms and or 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
* 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 excel
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