Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting at CVS Health | AR, US | Rezi

Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting at CVS Health

Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting

CVS Health · AR, US

Today

Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting

CVS Health · AR, US

20 hours ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting role.

Rezi rewrites your resume against CVS Health's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting posting at CVS Health — free, in seconds.

About the Role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Responsibilities

  • Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
  • Design and operationalize predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
  • Utilize time‑series, advance regression, tree based modeling and forecasting for volume, financial, and risk projections.
  • Apply machine learning and statistical modeling to improve underwriting accuracy and efficiency.
  • Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
  • Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
  • Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
  • Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
  • Explore and deliver emerging technologies that can help transform BI and reporting to leveraging AI to build reporting layers that are flexible, dynamic and can enable user driven exploration.
  • Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
  • Build trusted partnerships with stakeholders at all organizational levels, serving as a strategic thought partner for data‑driven decisions.
  • Translate complex analytical insights into clear, actionable narratives for both technical and non‑technical audiences.
  • Lead, coach, and develop a high-performing organization of decision scientists, analysts and validation professionals.
  • Define team vision, strategy, goals, priorities, and OKRs.
  • Manage resource planning, workload prioritization, and organizational growth.
  • Provide executive-level communication, reporting, and strategic recommendations.

Requirements

  • 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation.
  • 5+ years of experience leading large analytical teams and developing people leaders.
  • Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation.
  • Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights and explain business outcomes.
  • Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
  • Proven experience validating business outcomes and financial results using large-scale datasets.
  • Advanced SQL and data analysis skills.
  • Exceptional communication, stakeholder management, and executive presentation skills.
  • Experience validating underwriting, forecasting, pricing, or P&L platforms.
  • Experience leading through managers, including setting direction, coaching people leaders, and driving accountability across multi-level data science teams.

Skills

  • Time‑series modeling
  • Advance regression modeling
  • Tree based modeling
  • Forecasting
  • Machine learning
  • Statistical modeling
  • SQL
  • Data analysis
  • Databricks
  • Power BI
  • Python

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Lead
  • Director

Salary/Compensations

  • $144,200.00 - $288,400.00

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • CVS Health bonus
  • Commission program
  • Short-term incentive program
  • Equity award program

About the Company

  • Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Equal Opportunity

  • Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.