Director – Data Analytics, Network Evaluation

Role Overview

• Contribute to the development and refinement of analytic frameworks, models and analytic report structures.
• Support project leads in shaping methodologies, guiding analytics decisions and ensuring alignment with client goals.
• Work with actuarial, HEOR and clinical staff to develop advanced analytical and statistical techniques to evaluate financial, clinical and operational performance.
• Help troubleshoot data issues, evaluate assumptions and ensure analytic rigor and accuracy.
• Translate complex analytics into executive-level and board-ready insights.
• Advise senior client stakeholders on medical and pharmacy cost drivers and utilization trends.
• Help lead network strategy evaluations and provider network valuation analyses.
• Deliver vendor performance analytics and support RFP and vendor selection processes.
• Support and assist in leading complex client engagements end-to-end, from strategy through execution.
• Help build scalable analytic tools, datasets, models and reporting assets used across clients.
• Contribute to process improvements that strengthen efficiency, quality and consistency across engagements.
• Support documentation, version control, and transparent communication of methodologies and analytic logic.
• Stay informed on industry trends, emerging analytic techniques, and regulatory developments to inform ongoing improvements and client strategy.
• Build, mentor, and manage high-performing analytics teams.
• Establish coding standards, documentation frameworks, and QA processes.
• Oversee hiring, onboarding, performance management, and career development.
• Foster a culture of innovation, continuous learning, and professional growth.

Requirements

• A Master’s degree in Biostatistics, Public Health, Data Science, or a related field (preferred)
• A Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Economics, Computer Science, or a related quantitative field.
• A minimum of 10 years of progressive experience in healthcare analytics or data science.
• At least 5 years of experience in a leadership, advisory, or client-facing consulting role.
• Advanced proficiency in structured query languages and statistical programming tools, including SQL, Python, R, and SAS.
• Demonstrated experience leading complex claims and pharmacy analytics initiatives.
• Deep knowledge of healthcare data, including medical and pharmacy claims, eligibility, encounters, labs, and EMR data.
• Strong working knowledge of healthcare coding systems.
• Demonstrated ability to analyze complex datasets and translate findings into executive-ready insights.
• Proven experience advising client stakeholders and leadership teams.
• Strong business acumen with the ability to connect analytics to financial and strategic outcomes.
• Exceptional written and verbal communication skills with executive presence.
• The ability to manage multiple concurrent projects while maintaining quality and deadlines.

Tech Stack

• Python
• SQL

Benefits

• Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
• Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.