Data Analytics Manager (Hybrid)

Resp & Qualifications

PURPOSE :

Purpose of the Data Analytics Manager is to execute business objectives with data and ensure alignment with the vision of the company. Individual will organize the technology, processes and financial resources necessary to address the current and future analytics needs of the business. Provides thought leadership and acts as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodologies. Provides management responsibility into data-driven insights that inform the business's strategic direction.

ESSENTIAL FUNCTIONS :

• 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.

SUPERVISORY RESPONSIBILITY :

This position manages people.

QUALIFICATIONS :

Education Level : 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.

Licenses / Certifications :

Experience :

Preferred Qualifications :

Proven experience leading and managing a multidisciplinary data science team, including data scientists, analysts, and machine learning engineers.

Experience establishing and enforcing standard operating procedures (SOPs) for data science and AI practices, ensuring consistency, quality, and efficiency.

Strong understanding of AI governance principles, including bias mitigation, explainability, and compliance with ethical and legal standards.

Experience in product management, particularly for internal AI / ML-powered tools, with a focus on defining requirements, prioritizing features, and aligning product roadmaps with organizational goals.

Ability to explore and analyze market trends to identify emerging AI technologies and techniques, applying them to drive continuous improvement and innovation.

Knowledge of data science and machine learning technologies and tools, such as Python, R, TensorFlow, PyTorch, and cloud-based platforms (AWS SageMaker, Google Vertex AI, Azure ML).

Ability to align AI initiatives with broader organizational objectives, ensuring measurable outcomes and ROI.

Excellent communication skills to present complex technical concepts to non-technical stakeholders.

Knowledge, Skills and Abilities (KSAs)

Salary Range : $124,240 - $230,621

Salary Range Disclaimer

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 is specific and considers factors such as (but not limited to) the scope and responsibilites of the position, the candidate's work experience, education / training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs / plans, and 401k contribution programs / plans (all benefits / incentives are subject to eligibility requirements).

Department

Data Scientist

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Where To Apply

Please visit our website to apply : www.carefirst.com / careers

Federal Disc / Physical Demand

Note : The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him / her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS :

The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

LI-ZW1

Salary : $124,240 - $230,621