Manager, Data Analytics - ID/STRAT & Program Evaluation (Hybrid)

CareFirst•Baltimore, MD

2d•Hybrid

About The Position

The Manager, Data Analytics is responsible for executing business objectives with data and ensuring alignment with the company's vision. This role involves organizing technology, processes, and financial resources to meet current and future analytics needs. The incumbent provides thought leadership and acts as a subject matter expert in recommending analytical approaches and methodologies. This position offers management responsibility for data-driven insights that inform the business's strategic direction. The role requires the individual to live and work remotely within the greater Baltimore/Washington metropolitan area, with periodic travel to a CareFirst location for meetings, training, and other business activities. The primary responsibility is to manage a team supporting analytics, reporting, and data governance for Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling, and Program Evaluation. Additionally, the role will support AI implementations, partnerships with IT/Data Management teams, vendor support (e.g., Milliman MedInsights), and related functions. The ideal candidate will have experience in these domains, as well as in building and managing high-performing analytics teams that deliver work consistently and transparently to internal and external business partners. Prior healthcare analytics experience is mandatory; generalists with IT backgrounds and certifications like Scrum or Agile will not meet the needs of this role. CareFirst is seeking individuals interested in making meaningful, measurable differences in members' lives, particularly concerning affordability, quality, and member experience.

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 Progressive experience relating to data analytics/data analysis.
1-year Supervisory experience or demonstrated progressive experience.
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.
Must be eligible to work in the U.S. without Sponsorship.

Nice To Haves

Data Management\Certified Analytics Professional (CAP) or Data Management\MapR Certified Data Analyst
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 include 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 and/or Tableau
Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics
Experience in building and managing high-performing analytics teams that can deliver work consistently and transparently to our business partners, both internal and external
Prior healthcare analytics experience is a must

Responsibilities

Manage a team of individuals supporting the analytics, reporting and data governance activity for work related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling and Program Evaluation.
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 answer clients' research questions.
Develop analytic frameworks and select appropriate analytic methods to answer clients' research questions.
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 organization.
Uses multiple data sets to create reports and data presentations, and eventually creating data dashboards, for leadership and managerial use.