We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health is offering a fully remote Data Analytics Manager position that will serve as a Senior or Lead Technical Architect. This role is responsible for establishing technical standards and delivering analytics solutions across multiple operational areas, with a focus on scalable and AI‑enabled capabilities.
This position defines and maintains technical standards and industry best practices for the analytics team while delivering analytics and insights to support ClinOps, MTM, CRxM, and other operational areas. The role serves as the technical architect and subject matter expert, setting the overall technology direction and supporting secure, scalable, and AI‑enabled solutions.
The position requires hands‑on expertise with both established and emerging technologies, including Dataiku, Teradata, Alteryx, Tableau, and modern analytics and AI tools. Responsibilities include supporting data integration, automation, and reporting across multiple data sources, with a strong emphasis on automating manual processes and enabling data staging for Tableau dashboards.
This role collaborates closely with business and operations partners to understand requirements, define business logic and metrics, and deliver Tableau KPIs that support clinical, MTM, and CRxM operational insights and exception management. The position also includes enforcing architectural standards and rapidly developing subject matter expertise in key technologies and business domains.
Required Qualifications
- 5+ years of experience in data, analytics, and application architecture, with a strong background designing enterprise‑scale data and analytics solutions.
- Deep expertise in data platform architecture, including advanced SQL design principles, performance optimization, data modeling, and governance across platforms such as SQL Server, Oracle, and Teradata.
- Strong architectural understanding of data integration, analytics automation, and advanced analytics platforms, with experience defining and applying best practices using tools such as Dataiku, Alteryx, Tableau, and related technologies.
- Experience designing end‑to‑end data solutions, including data ingestion, transformation, staging/semantic layers, and data consumption through dashboards, reports, and downstream applications.
- Proven ability to translate business and operational requirements into technical architectures, solution designs, and implementation patterns aligned with enterprise standards.
- Hands‑on experience enabling Python‑based solutions for data processing, automation, and analytics workflows.
- Experience architecting and supporting AI‑based applications and functionalities, including AI/ML and generative AI use cases, with focus on scalability, governance, and enterprise adoption.
- Strong understanding of the software development life cycle (SDLC) to ensure quality delivery, documentation, performance, security, and operational support.
Preferred Qualifications
- Experience architecting solutions in cloud or hybrid environments, including SQL Server on GCP or similar platforms.
- Experience implementing AI/ML or GenAI solutions using enterprise platforms and approved reference architectures.
- Excellent problem‑solving and analytical skills, with the ability to understand complex data environments, assess business impact, and prioritize technical solutions based on urgency and value.
- Ability to work independently and collaboratively with cross‑functional teams, with strong communication and documentation skills.
- Agile mindset with experience supporting incremental delivery and continuous improvement.
- Ability to quickly learn new business domains and data sources and become a subject matter expert where needed.
- Prior experience in healthcare, PBM, insurance, or other regulated industries, with exposure to data governance and compliance considerations.
- Strong written and verbal communication skills, including experience explaining technical designs and tradeoffs to business stakeholders.
Education
- Bachelor’s Degree or equivalent professional experience required.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$60,300.00 - $132,600.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 05/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.