Data Analytics Manager - Risk Adjustment (Hybrid)

This position leads the analysis, reporting, and performance monitoring activities that support the organization's Risk Adjustment programs. The role is responsible for directing the development of trusted data assets, producing actionable reporting and insights, and leveraging advanced analytics to improve program outcomes through collaboration with clinical, operational, financial, and technology teams.

Responsibilities

• Manage a team with a focus on the development of analytics capabilities across the company, including self-service capabilities through technology implementation, best practices, and training.
• Ensure team members serve as a trusted advisor to clients on analytics and data.
• Interpret statistical analyses and help clients derive meaning from them.
• Develop and deliver presentations and reports of analytic findings.
• Develop hypotheses and research questions to address clients' needs.
• Conduct a wide range of quantitative, qualitative, and mixed-methods analyses to develop required reporting.
• Develop analytic frameworks and select appropriate analytic methods needed for all deliverables.
• Partner with stakeholders to understand data requirements and with internal and/or external resources to develop tools and services such as segmentation, modeling, dashboard development, decision aids, and business case analysis to support the Risk Adjustment Team.
• Use and create multiple data sets to create reports and data presentations, and eventually creating data dashboards, for leadership and managerial use.
• Oversight of key performance metrics, risk score forecasting, member and provider targeting strategies, dashboard and reporting solutions, CMS, HHS, and MDH reconciliation activities, and ad hoc analyses to identify opportunities for enhanced program performance and operational efficiency.
• Provide thought leadership and act as a subject matter expert in designing and recommending appropriate analytical approaches and methodologies.
• Provide management responsibility into data-driven insights that inform the business's strategic direction.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
• 5 years of progressive experience relating to data analytics/data analysis.
• 1 year of supervisory experience or demonstrated progressive experience.
• Candidates must be located in the Maryland, Washington, DC, or Northern Virginia (DMV) area and willing to work in a hybrid model (at least two days a week at a CareFirst location).
• Must be eligible to work in the U.S. without sponsorship.

Preferred Qualifications

• Master's Degree.
• Conceptual data and cloud architecture - understands major native data components in Azure and/or AWS and their relationships and use cases.
• Mastery of relational database theory including SQL and at least one major RDBMS.
• Well-versed in Big Data scenarios and applications.
• Experience with multiple analytics delivery tools, methods, and platforms including PowerBI, Fabric, SSMS, and/or Python.
• Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics.
• Certifications: Data Management/Certified Analytics Professional (CAP) or Data Management/MapR Certified Data Analyst.

Skills

• Strong quantitative and qualitative skills.
• Knowledge and understanding of analytical tools, such as SAS, Excel, SQL.
• Excellent communication skills both written and verbal.
• Ability to train others.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
• Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Pay

Salary Range: $127,360 - $236,412

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business considerations. It is not typical for an individual to be hired at the top of the range.