Sr Manager Resource Planning

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 The Senior Manager – Resource Planning Technology is responsible for designing, developing, and supporting data, reporting, and analytics solutions.

This role translates complex business needs into scalable data integrations, SQL-based solutions, and actionable insights that drive operational and strategic decision-making. This position combines strong technical expertise with design and oversight of data pipelines, reporting platforms, and visualization.

The Senior Manager applies advanced analytical judgment, fosters data curiosity, and promotes modern tools—including SQL, enterprise data platforms, visualization tools, and Microsoft Copilot—to enhance efficiency, automation, and solution quality.

Key Responsibilities Design, development, and delivery of organizational reporting and analytics solutions aligned to business and operational objectives Translate business requirements into scalable effective data solutions Drive the creation of high-impact dashboards and visualizations using Power BI, Tableau, or similar tools Ensure data integrity, quality, and alignment with contractual and regulatory requirements Partner with business stakeholders to identify opportunities, define metrics, and deliver actionable insights Optimize performance of data processes, queries, and reporting solutions Leverage AI-assisted tools (e.g., Microsoft Copilot, Copilot Studio) to improve automation, documentation, and development efficiency Support production environments, troubleshoot issues, and ensure reliability of reporting systems Foster a culture of data curiosity, continuous improvement, and innovation across the team Required Qualifications 7+ years of relevant experience in analytics, reporting, or data engineering (with leadership experience preferred) Strong analytical and quantitative skills with the ability to interpret complex datasets and communicate insights to technical and non-technical audiences Deep understanding of enterprise data architecture, data flows, and how analytics supports business operations and decision-making Advanced proficiency in SQL Experience designing, building, and supporting scalable reporting and data integration solutions Demonstrated ability to manage multiple priorities and deliver high-quality outcomes in a fast-paced environment Strong problem-solving skills with a proactive approach to identifying opportunities and resolving issues Experience implementing or leveraging AI-assisted tools (e.g., Microsoft Copilot) to improve analytics workflows Ability to coach, mentor, and develop team members while promoting best practices Preferred Qualifications Experience with Workforce Management (WFM) concepts, tools, or analytics (e.g., forecasting, scheduling, capacity planning, real-time adherence, or operational performance reporting, administrative functions) Hands-on experience with Microsoft Copilot, Copilot Studio, or other AI-enabled automation tools in an enterprise environment Strong experience designing executive-level dashboards and visualizations with a focus on usability and storytelling Experience working with healthcare data domains (e.g., claims, pharmacy, clinical, provider, or operational data) Proficiency in BI and visualization tools such as Power BI or Tableau, with strong data storytelling capabilities Familiarity with ETL and data integration tools (e.g., SSIS, Alteryx) and modern data engineering practices Knowledge of SDLC, testing frameworks, and data quality management practices Demonstrated ability to influence stakeholders and drive data-driven decision-making at the leadership level Education Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field (or equivalent work experience) Pay Range The typical pay range for this role is: $67,900.00 - $149,328.00 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.

This position also includes an award target in the company’s equity award program. 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: 07/18/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.