Mgr, Technical Architect

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.

CVS Health is seeking a highly skilled Data Analytics Manager to serve as a Lead Technical Architect driving enterprise analytics solutions. This role is responsible for defining technical strategy, establishing architecture standards, and delivering scalable, AI-enabled data solutions across multiple operational domains including Clin Ops, MTM, and CRxM.

You will act as both a hands‑on architect and strategic leader
, translating business needs into robust data solutions while enabling advanced analytics, automation, and insights that drive operational performance and innovation.

• Define and enforce enterprise data architecture standards, best practices, and governance.
• Design end‑to‑end analytics solutions across data ingestion, transformation, semantic layers, and consumption.
• Establish scalable, secure, and AI‑enabled data ecosystems supporting enterprise growth.
• Evaluate and prioritize portfolio opportunities to drive innovation and business value.

• Lead the development of analytics solutions, dashboards, and KPI frameworks using Tableau and related tools.
• Enable automation of manual processes and streamline data workflows across platforms.
• Integrate multiple data sources to deliver actionable insights supporting operational decision‑making.
• Translate complex business requirements into scalable technical solutions and data models.

• Serve as subject matter expert across tools such as Dataiku, Teradata, Alteryx, Tableau, and Python
  .
• Architect and support advanced analytics, AI/ML, and GenAI use cases aligned with enterprise standards.
• Continuously evaluate emerging technologies and industry trends to enhance analytics capabilities.

• Collaborate with business, clinical, and operations partners to define metrics, KPIs, and analytical frameworks.
• Build strong relationships with internal stakeholders and external partners to drive data‑driven strategies.
• Communicate technical designs, tradeoffs, and insights clearly to non‑technical audiences.

• Guide and mentor junior team members on technical design, analytics methodologies, and best practices.
• Promote a culture of continuous improvement, innovation, and agile delivery.

• 5 years of experience in data analytics, data engineering, or solution architecture
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• Proven experience designing enterprise‑scale data and analytics solutions
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• Deep expertise in:
• Advanced SQL, data modeling, and performance optimization.
• Data platforms (SQL Server, Oracle, Teradata).
• Data integration, automation, and analytics architecture.
• Hands‑on experience with Tableau, Dataiku, Alteryx, and Python‑based solutions
  .
• Experience designing end‑to‑end data pipelines and reporting solutions
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• Strong understanding of SDLC, data governance, and security best practices
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• Demonstrated ability to translate business requirements into technical solutions.

• Experience with cloud or hybrid environments (e.g., GCP, Azure).
• Experience implementing AI/ML or Generative AI solutions
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• Background in healthcare, PBM, or regulated industries
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• Experience with agile delivery methodologies
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• Strong analytical, problem‑solving, and prioritization skills.
• Ability to quickly develop subject matter expertise across domains.

• Execution & delivery excellence.
• Business intelligence & analytics leadership.
• Strategic problem solving & decision‑making.
• Cross‑functional collaboration & influence.
• Growth mindset & continuous development.

• Bachelor’s degree or equivalent professional experience required.

40

Full time

The typical pay range for this role is:…