Own the end-to-end product lifecycle for new decision science products—from discovery and ideation through launch, adoption, and continuous delivery.
Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.
Lead cross-functional squads (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.
Convert complex analytical and technical concepts (forecasting, optimization, machine learning) into intuitive user experiences and actionable business capabilities.
Integrate user research, usability studies, and market analysis into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).
Establish and improve product development practices (agile ceremonies, backlog hygiene, release planning, and change management).
Guide solution testing and validation (unit, integration, UAT, and A/B testing) to ensure reliability, performance, and business impact.
Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.
Develop and mentor team members; foster an inclusive, collaborative culture that embraces learning and experimentation.

8+ years of experience including data science product management for technology-based data/analytics or software products, data science product management consulting, and/or novel data science and advanced analytics solution development.
2 + years of experience leading cross-functional teams or agile squads in a matrixed environment.
Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.
Demonstrated experience with agile product development (e.g., backlog management, sprint planning, roadmap definition).
Experience partnering closely with engineering, data science/decision science, data engineering, and UX/design functions.
Ability to synthesize user research, usability testing, and market analysis to drive prioritization and product strategy.
Strong storytelling and executive communication skills with the ability to simplify complex analytics into clear, actionable recommendations.
Familiarity with statistical/ML concepts, forecasting and/or optimization, and data visualization; ability to query and analyze data (e.g., SQL).
Active commitment to fostering a diverse, equitable, and inclusive team environment.

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Manager, Decision Science Products

Key skills