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

Drive the next generation of business intelligence by spearheading agentic AI frameworks, conversational analytics, and decision intelligence systems that transform how our organization leverages data. You will develop and execute analytics strategies harnessing AI agents, LLMs, and generative AI to ensure insights lead directly to impactful action across the business. You will play a key role in advancing a Business Intelligence Center of Excellence for the retail supply chain, championing best practices and enabling innovative multi-agent frameworks to unlock new levels of operational and strategic value. You will build models that translate and simplify ambiguous business challenges into logical, actionable frameworks, directly informing both operational and strategic decisions to advance short- and long-term business objectives. This role shapes the vision and execution of AI-driven decision systems, mentors junior team members, and works closely with business partners to understand their goals, develop predictive models, perform statistical analyses, and deliver impactful data-driven solutions.

Required Qualifications

• 3+ years of hands-on experience in advanced analytics, decision science, or applied AI/ML

• Demonstrated ability to independently solve complex problems and reimagine existing solutions

• Strong programming skills in Python and SQL, including experience deploying AI systems in production

• Proven track record of translating advanced AI concepts into measurable business impact, securing stakeholder alignment, and sizing business value

• Experience leading end-to-end AI-driven solution delivery, from data foundation through model orchestration to front-end adoption

• Experience designing and building AI-powered frameworks embedded with BI to explain metric movements, detect anomalies, identify key drivers, and simulate business scenarios

• Proven ability to partner with BI and business teams to formalize metric definitions, clarify explainable dependencies and assumptions, and ensure AI outputs align with established business logic

• Practical expertise with LLMs, generative AI, or conversational AI frameworks (such as LangChain, RAG)

• Exceptional communication, storytelling, and customer engagement skills, with a passion for building intuitive, impactful solutions

• Experience in the retail supply chain sector

• Expertise with BI tools (Tableau, ThoughtSpot, Looker, Power BI) and analytics engineering environments (e.g., Snowflake, modern data warehouses)

• Experience with UI/UX design, customer journey mapping, and design thinking (Figma proficiency a plus)

• Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support

• Expertise in designing and implementing measurement and impact frameworks to quantify the business value and adoption of BI tools and agentic AI insights—even when outcomes are difficult to measure

• Demonstrated product mindset in AI product development—focused on user needs, iterative experimentation, cross-functional collaboration, and delivering actionable value from concept to deployment

Preferred Qualifications

• Experience with Vertex AI and Google Cloud Platform

• Knowledge of data observability, governance, and AI ethics to promote trustworthy, transparent decision intelligence systems

• Demonstrated mastery of advanced problem-solving and decision-making

• Demonstrated mastery of collaboration and teamwork

• Demonstrated growth mindset—agility in developing yourself and others

• Demonstrated mastery of execution and delivery, including planning, implementing, and supporting solutions

Education

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. 
• Master’s degree or PhD preferred

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.