Remote Director of Data Science Product Strategy

Sedgwick; Anchorage (AK); Remote; USD 150,000 - 220,000; Full time

Job summary

Sedgwick in Anchorage, AK is seeking a Director of Product Management, Data Science to define and execute product strategy for a portfolio of data science products, including predictive models and forecasting solutions.

You’ll own roadmap direction, investment prioritization, and delivery accountability, leading Product Managers and partnering with Data Science, Data Engineering, and architecture leadership to deliver scalable, production-ready solutions that drive measurable business value.

Qualifications

• 10+ years of experience in product management or product strategy, including at least 3 years managing data science, predictive analytics, or machine-learning products.
• Proven track record of taking predictive models from concept to production with measurable business impact.
• Experience with agile development strongly preferred.
• Experience in regulated environments such as claims, insurance, healthcare, or financial services preferred.

Responsibilities

• Set product vision and multi-year roadmap for a portfolio of data science products.
• Oversee delivery across product and data science teams, aligning strategy with execution and client outcomes.
• Define acceptance criteria for models, validation methods, and data requirements.
• Partner with data science, data engineering, and architecture leadership to manage dependencies and risks.
• Lead lifecycle activities: release readiness, monitoring, recalibration, and retirement decisions.

Skills

Agile methodologies

Product management

Data science lifecycle

Model governance

Leadership

Python

R

SQL

Education

Bachelor's degree in quantitative field

Advanced degree preferred

Job description

Sedgwick in Anchorage, AK is seeking a Director of Product Management, Data Science to define and execute product strategy for a portfolio of data science products, including predictive models and forecasting solutions.

You’ll own roadmap direction, investment prioritization, and delivery accountability, leading Product Managers and partnering with Data Science, Data Engineering, and architecture leadership to deliver scalable, production-ready solutions that drive measurable business value.