Experience Senior · 6+ yrs (5+ years)
About the role
structured by ORIHands-on product manager for ML-powered personalization and intelligence, turn research and data into shippable features, run experiments, and partner with Data Science and Engineering to deliver measurable outcomes across channels, while upholding privacy, consent, and fairness. You enjoy shaping products that make…
What you will do
- Support the product roadmap and maintain a well-groomed backlog (epics, user stories, refinement) for one or more personalization and customer-intelligence products.
- Translate user research, journey insights, and product performance metrics into clear requirements, tradeoffs, and decisions.
- Partner with Data Scientists and ML Engineers across the model lifecycle (problem framing, evaluation, deployment, monitoring, iteration).
- Help define hypotheses and support experiments (e.g., A/B tests) to validate impact and measure outcomes.
- Track KPIs for engagement, quality, and reliability; translate results into prioritized next steps.
What they are looking for
- 3+ years of experience in product management, analytics, data science, engineering, or a comparable domain.
- Strong data literacy and analytical judgment; comfortable using metrics and evidence to make product decisions.
- Hands-on experience querying/analyzing data (e.g., SQL and/or Python) to support product discovery, measurement, and experimentation.
- Strong product fundamentals: problem discovery, requirements definition, backlog management, and agile delivery (e.g., Jira or similar tools).
- Clear written and verbal communication and strong cross-functional collaboration skills.
- Comfort operating in ambiguity, learning quickly, and moving across problem spaces.
Nice to have
- Exposure to AI/ML, personalization/recommendations, and/or experimentation in partnership with Data Science.
- Experience designing or analyzing A/B tests and interpreting outcomes.
- Familiarity with cloud delivery environments (e.g., AWS) and multi-channel customer experiences (mobile, web, servicing).
- Bachelor’s degree in Engineering, Data Science, Business, or comparable field.
- Interest in digital-banking trends and in privacy, consent, and fairness considerations in AI.
Product ManagementA/B TestingAnalyticsData LiteracyAgile DeliveryPersonalizationMachine LearningSQLPythonJiraAWS
Full posting text
Hands-on product manager for ML-powered personalization and intelligence, turn research and data into shippable features, run experiments, and partner with Data Science and Engineering to deliver measurable outcomes across channels, while upholding privacy, consent, and fairness.
ProductProduct Management