Lead Data Analytics Architect - AI-Driven Enterprise

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 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.

Key Responsibilities

Architecture & Strategy

• 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.

Analytics Delivery & Execution

• 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.

Technology & Innovation

• 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.

Partnership & Influence

• 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.

Leadership & Development

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

Required Qualifications

• 5+ years of experience in data analytics, data engineering, or solution architecture
• Proven experience designing enterprise-scale data and analytics solutions
• 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
• Strong understanding of SDLC, data governance, and security best practices
• Demonstrated ability to translate business requirements into technical solutions

Preferred Qualifications

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

Core Competencies

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

Education

• Bachelor’s degree or equivalent professional experience required

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

This pay…