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Role Description

The Data Manager 2 supports implementation of government and industry policies for requirements management, document management, change management, production and delivery, and configuration management of the performance, functional, and physical baselines.

• Acquires, validates, stores, protects, and processes required data to ensure accessibility, reliability, and timeliness of the data for its users.
• Develops and executes architectures, policies, data equity principles and practices, and procedures that properly manage the full data lifecycle needs of an enterprise.
• Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas.
• Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed.
• Follows established guidelines/procedures.
• Develops productive relationships with Medicaid operations IT, the data warehouse team, and users of data (Finance, Clinical, Actuarial, DH&A analyst and report end users).
• Develops analytic and decision-making processes, outcome and impact measures to assess diverse populations across various traits.
• Promotes and helps build a greater understanding of data trends applicable to equitable population health and improved health outcomes.
• Creates detailed documentation of data methodologies to support trust in data/results, audits, and to meet requirements set by enterprise teams.
• Works independently to design and deliver on descriptive clinical analytics projects to profile clinical populations and determine drivers/factors associated with health care needs, utilization, and outcomes.

Qualifications

• Bachelor's degree.
• Three (3) or more years of technical experience in compiling, modeling, interpreting and analyzing clinical and population health data.
• Experience working in population health analytics for a Medicare or Medicaid managed care health plan.
• Advanced skills with Microsoft Excel including advanced formulas, pivot tables, charts, V-Lookups and graphs.
• Working knowledge with coding in SQL and data extraction and (BI) analysis technologies such as SAS, SPSS, R, Minitab, QlikView, Tableau, or Power BI.
• Working knowledge of ad-hoc query tools and data repositories that support data extraction and manipulation.

Requirements

• Master's degree in Epidemiology, Biostatistics or Statistics, Mathematics, Computer Science, Engineering and/or related field (preferred).
• Proficient in the use of statistical analysis software (preferred).
• Experience working with EPIC systems, specifically in the context of population health analytics (preferred).

Benefits

• Competitive benefits that support whole-person well-being.
• Medical, dental and vision benefits.
• 401(k) retirement savings plan.
• Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave).
• Short-term and long-term disability.
• Life insurance and many other opportunities.

Workstyle

• This is a remote position with minimal travel.
• Up to 10% travel occasionally to Humana’s Detroit office for team engagement meetings.
• Scheduled Weekly Hours: 40.
• Workdays and Hours: Monday - Friday; 8:00am - 5:00pm Eastern Standard Time (EST).

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$73,400 - $100,100 per year. This job is eligible for a bonus incentive plan based on company and/or individual performance.

Application Deadline

06-02-2026