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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Define and execute product strategy and outcomes for a portfolio of data science products
- Own roadmap direction, investment prioritization, and delivery accountability
- Lead Product Managers and partner with Data Science, Data Engineering, and architecture leadership
- Define product vision and multi-year roadmap
- Lead portfolio discovery and strategic planning for predictive modeling, forecasting, segmentation, and optimization opportunities
- Frame business problems for data science with clear decision points and success measures
- Align scope, sequencing, investment decisions, constraints, data dependencies, and model limitations with senior stakeholders
- Communicate product strategy, progress, risks, and architectural implications to executive stakeholders
- Oversee delivery across product and data science teams
- Set backlog quality and acceptance criteria, including model performance, validation, interpretability, and data requirements
- Manage dependencies, data pipelines, integrations, capacity planning, and delivery risks
- Establish the path from exploratory analysis and proof of concept to production
- Own portfolio KPIs and contributions to Product Group and enterprise OKRs
- Maintain oversight of business processes, data sources, systems, and platform dependencies
- Partner with data governance, privacy, legal, compliance, and model risk teams
- Evaluate and approve significant product, model, process, and system changes
- Resolve priority, dependency, and delivery conflicts as a senior escalation point
- Lead the full product and model lifecycle, including release readiness, monitoring, recalibration, retirement, and continuous improvement
- Build data literacy among business stakeholders
- Stay current on advances in data science methods and practices
- Perform other duties as assigned
- Travel as required
Requirements
What you’ll need- Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field from an accredited college or university preferred
- Advanced degree preferred
- Ten (10) or more years of experience in product management or product strategy, including at least three (3) years managing data science, predictive analytics, or machine learning products, required
- Demonstrated track record of taking predictive models or other data science solutions from concept through production deployment and measurable business impact required
- Experience with agile development strongly preferred
- Experience in claims, insurance, healthcare, financial services, or other regulated environments preferred
- Expert knowledge of agile methodologies and product operating models, including scaling delivery across multiple teams and products
- Strong working knowledge of the data science lifecycle, including problem framing, data preparation, feature development, model development, validation, deployment, monitoring, and recalibration
- Solid grounding in statistical concepts, including regression, classification, forecasting, sampling, and statistical significance
- Fluency in model evaluation measures, including precision, recall, AUC, calibration, and error rates
- Understanding of experimental design, including A/B testing, control groups, and pilot design
- Familiarity with Python, R, and SQL
- Working knowledge of model governance, model risk management, and data privacy requirements in regulated industries
- Ability to translate business and portfolio strategy into product vision, roadmaps, and execution standards
- Strong portfolio-level judgment to balance investment, capacity, risk, technical health, and business outcomes
- Advanced ability to lead complex discussions with senior technical, data science, business, and executive stakeholders
- Proven people leadership capability, including developing Product Managers, setting expectations, and building high-performing teams
- Travel as required
Benefits
Comp & perks- Work-life balance
- Reasonable accommodation consideration
- Equal Opportunity Employer
- Drug-Free Workplace