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Lead Data Analytics Architect - AI-Driven EnterpriseHispanic Alliance for Career Enhancement • Raleigh, North Carolina, United States
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Lead Data Analytics Architect - AI-Driven Enterprise

Hispanic Alliance for Career Enhancement
  • US
    Raleigh, North Carolina, United States
  • US
    Raleigh, North Carolina, United States
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À propos

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 ClinOps, 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 40
Time Type Full time
Pay Range
The typical pay range for this role is:
$54,300.00 - $145,860.00
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: 07/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr
  • Raleigh, North Carolina, United States

Compétences linguistiques

  • English
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