Director of product management, data science

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

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PRIMARY PURPOSE:

The Director of Product Management, Data Science defines and executes product strategy and outcomes for a portfolio of data science products, including predictive models, statistical and forecasting solutions, and advanced analytics capabilities. This role owns roadmap direction, investment prioritization, and delivery accountability, ensuring data science work moves beyond analysis and experimentation into scalable, production-ready solutions that deliver measurable business value. The Director leads Product Managers, partners closely with Data Science, Data Engineering, and architecture leadership, and ensures data science products are accurate, well-governed, and aligned with enterprise objectives.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Set product vision & roadmap
• Oversee, coordinate & support development work
• Portfolio governance & lifecycle management

ADDITIONAL FUNCTIONS AND RESPONSIBILITIES

Builds data literacy across business stakeholders, helping leaders interpret model outputs, understand uncertainty, and set realistic expectations for outcomes and timelines. Stays current on advances in data science methods and practices, and assesses their relevance to the portfolio. Performs other duties as assigned. Travel as required.

QUALIFICATIONS

Education & Licensing

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. Licenses as needed.

Experience

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.

Skills & Knowledge

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 (e.g., precision, recall, AUC, calibration, error rates) and the ability to translate model performance into business impact. Understanding of experimental design, including A/B testing, control groups, and pilot design, to validate model value before scaling. Familiarity with common data science tools and languages such as Python, R, and SQL, sufficient to engage credibly with practitioners. 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, high-stakes discussions with senior technical, data science, business, and executive stakeholders, including explaining statistical concepts and model results to non-technical audiences. Proven people leadership capability, including developing Product Managers, setting expectations, and building high-performing teams.

WORK ENVIRONMENT

When applicable and appropriate, consideration will be given to reasonable accommodation. Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Physical: Computer keyboarding, travel as required. Auditory/Visual: Hearing, vision and talking.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.