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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.
Job Responsibility:
Establishing technical standards and delivering analytics solutions across multiple operational areas, with a focus on scalable and AI‑enabled capabilities.
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.
Serves as the technical architect and subject matter expert, setting the overall technology direction and supporting secure, scalable, and AI‑enabled solutions.
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.
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.
Enforcing architectural standards and rapidly developing subject matter expertise in key technologies and business domains.
Requirements:
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.
Nice to have:
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.