Director of Product Management, Data Science

Job not on LinkedIn

🔥 0 minutes ago

🏈 Alabama, Alaska, +18 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote ⚜️ Louisiana – Remote 🗻 New Hampshire – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• 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

• 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

• Work-life balance • Reasonable accommodation consideration • Equal Opportunity Employer • Drug-Free Workplace