F
Product Manager, Data and AI
Not specifiedFull-timeProduct ManagementInsuranceFinancial Services
Own data, machine learning, and generative AI products from identifying business needs to production, partnering across business, data, engineering, and UX teams to deliver measurable outcomes.
Responsibilities
- Analyze business processes and data to identify bottlenecks and opportunities, define solutions, and guide them through production.
- Define and implement machine learning and generative AI solutions for operational processes, including success metrics and evaluation methods.
- Work with business stakeholders to identify the operational needs behind feature requests.
- Query and analyze data independently, define KPIs, and collaborate with data science teams.
- Coordinate across business, data, engineering, and UX teams in a complex organization.
Requirements
- At least 3 years of end-to-end product management experience in a product role at a civilian company.
- Demonstrated ownership of a machine learning or generative AI product, feature, or workflow through production.
- Experience analyzing data and metrics, defining KPIs, and making data-informed decisions.
- Ability to work independently and communicate complex products and their business impact clearly and concisely.
Nice to have
- Basic familiarity with SQL and Python, including reading and running scripts or notebooks.
- Bachelor’s degree, preferably in a quantitative field such as industrial engineering, economics, computer science, or statistics.
- Background in finance, insurance, pensions, or financial technology.
- Experience working in large, matrixed organizations.
- Hands-on experience with modern AI tools for automation and prototyping.
Benefits
- Build AI products that reshape core business processes.
- Drive measurable impact with autonomy to develop solutions from the ground up.