Data Analytics Manager (Health Research Team)

Individuals must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Milliman’s Health Research Team (HRT) is seeking an experienced and driven Data Analytics Manager. In this role, you will lead a high-performing team of 2–4 data analysts, overseeing all phases of data production with a strong emphasis on data quality, accuracy, and timeliness. The Manager will play a critical role in driving product development deliverables and supporting internal deliverables for client and research projects. This position reports to the Senior Manager, Data Engineering and Analytics, and offers the opportunity to work at the intersection of healthcare data, analytics innovation, and team leadership.

This role is based out of the Milliman office in Chicago, IL, but candidates hired into this role may work remotely anywhere in the US or in the office on a weekly basis with flexible work arrangements. Travel to Milliman’s Chicago office for three consecutive days each quarter is required.   

Who we are:  

The HRT supports Milliman products and practices in a variety of capacities. These include but are not limited to financial functions, client support, project management, data engineering, and data analytics services. As a shared service team, we pride ourselves on delivering high quality, timely support to Milliman's clients, consultants, and leadership teams.   

Job Responsibilities:  

Team Leadership & Management

• Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment
• Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work
• Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports
• Manage workload distribution across the team to balance competing priorities and deadlines
• Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership

Data Quality Analysis

• Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use
• Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures
• Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data
• Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts
• Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels

Product Development Deliverables

• Lead the team in producing product development deliverables on schedule and to specification
• Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements
• Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency

Client & Research Project Support

• Support internal deliverables for client-facing and research projects. Coordinating with project leads to understand requirements and timelines
• Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders
• Ensure all project deliverables meet data governance, compliance, and contractual requirements

Process Improvement & Innovation

• Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency
• Implement best practices for quality assurance and testing, including QAT and UAT support
• Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate
• Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives

Minimum requirements:  

• Bachelor's or Master's degree in Mathematics, Statistics, Actuarial Science, Public Health, Computer Science, or a related quantitative field
• 4+ years of experience analyzing large databases of health claims and enrollment data (e.g., administrative/closed claims data)