• Own the dbt models that power Solv’s critical metrics across both internal and customer-facing surfaces. • Design, build, and iterate on how customers see and use their data. • Manage the full cycle of customer analytics requests. • Help evolve our early-stage AI analytics capabilities from internal tools into something that can scale.

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 This Senior Decision Scientist will play a pivot role supporting strategic, data-driven initiatives across CVS Health's PBM Caremark ecosystem. You will collaborate with cross-functional stakeholders, lead projects, and translate data into solutions that tangibly drive business value. In this role, you will apply your analytical expertise and PBM data experience to help drive the success of digital products and ensure they meet customer needs and business expectations. This role is responsible for determining the most accurate and effective analytical methodology for forecasting models and then collaborating with cross-functional teams to ensure effective development, deployment, and business integration of the models. You will work directly with business partners to identify and prioritize opportunities for expansion and improvement of solutions, bridging the gap between development teams, stakeholders/business partners and users across various functional areas. You will also assess the performance and impact of models / solutions by conducting statistical analyses and measuring key performance indicators. What you will do - Work with cross-functional teams to drive and execute the development and deployment of analytical models - Apply in-depth knowledge of forecasting methodology to translate business and client needs into analytical models and solutions support clients - Identify opportunities for enhancements through data-driven analyses evaluating potential risks and benefits and quantify the impact of strategic decisions - Conduct complex cost-benefit analyses to assess the feasibility of new methodologies, evaluate potential risks and benefits, and quantify the impact of strategic decisions - Present analytical findings to executives and stakeholders to effectively communicate detailed information, gain alignment, and influencing upwards and laterally to drive organizational change and alignment - Answer detailed questions from collaborators and stakeholders around the methodological details of forecasting models - Coaches more junior colleagues and team members in techniques, processes, and responsibilities Required Qualifications - 3+ years work experience - Experience in problem solving and decision-making - Experience in developing data-driven recommendations and solutions - Technical knowledge and experience with Excel and SQL/SAS/Teradata Preferred Qualifications - Proven success in developing data-driven recommendations and solutions - Strong execution and delivery (planning, delivering, and supporting) skills - Strong growth mindset (agility and developing yourself and others) skills - Strong stakeholder management skills - Strong collaboration and teamwork skills - Strong interpersonal and presentation skills Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $203,940.00 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 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 We anticipate the application window for this opening will close on: 04/03/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Lead the AE team, drive a high-performance culture, and support individual career growth. • Drive regular 1-on-1s, give constructive feedback, and handle performance reviews. • Manage team capacity and sprint priorities, balancing tech debt with stakeholder needs. • Help with recruitment and make sure new joiners have a smooth onboarding. • Lead the design, development, and maintenance of centralised Looker semantic models (LookML). • Act as the "Gatekeeper" for Looker, enforcing coding standards, modularity, and performance optimisation. • Establish and manage robust version control and deployment pipelines in GitLab for the semantic layer. • Partner with Data Engineering to define table structures and schemas that optimize for downstream analytical performance. • Translate the business needs of Corporate, Marketing, CS, Sales and GTM Ops Analysts into scalable data models. • Identify manual workflows and automate them using Python scripts, API integrations (Looker API) or Agentic AI. • Modernise the team’s workflow by co-creating and enforcing a disciplined Jira ticketing structure to ensure transparency and velocity.

• GTM - installing on websites and managing GTM for our clients • Google Analytics setup and conversion tracking (a thorough understanding of the platform working with service and e-commerce clients) • Facebook pixel and conversion tracking setup (a thorough understanding of Facebook business manager) • Reporting setup using Google data studio (connecting the data points and helping setup new clients onto reporting) • Basic admin and management of client reports (utilising our HubSpot platform to ensure reports are emailed out monthly)