Senior Data Enablement and Quality Analyst

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 building a world-class analytics organization within the Procurement Center of Excellence (CoE), and we are looking for a Manager, Data Enablement & Quality to help lay the foundation it runs on.

This is a technical role for someone who thinks rigorously about data and can communicate clearly with business stakeholders. You will be responsible for ensuring procurement has access to the right data, structured correctly, and delivered in a way that analysts and business users can actually trust and use.

Day to day, that means working with the enterprise Data Portal and IT partners to assess available data, close gaps, and build governed BigQuery datasets that serve as the single source of truth for procurement reporting. Over time, the role will grow into a broader data stewardship function, including data profiling, quality program development, and driving master data standards across procurement domains.

Strong candidates will be hands-on technically, comfortable working across IT and business teams, and motivated by building something that others will rely on. Note: This is a hybrid role requiring 2 days per week minimum (Tuesday & Wednesday) at either the Hartford or 1 CVS Drive Offices. 1.

Data Access & Foundation Building Evaluate procurement data needs against assets available in the enterprise Data Portal, assessing domain coverage, field definitions, and data quality scores to determine fitness for use. Where gaps exist, partner with IT and system owners to extract and land the required data in GCP, ensuring it is properly structured and documented for use in BigQuery.

Build and maintain BigQuery tables, views, and data models that transform source data into clean, standardized gold-layer datasets for procurement reporting and analytics. Determine the right delivery mechanism for each dataset: publish as a data source in Tableau Server with row-level security and semantic modeling where a dashboard is needed, or document as a BigQuery table or view for consumption via Python, Dataiku, or other tools where one is not. 2.

Data Product Stewardship Ensure every dataset the CoE produces is fully documented, including field definitions, business logic, data lineage, refresh cadence, and known limitations. Work with business SMEs to validate that data definitions and logic are correct, and obtain sign-off before datasets are published for broad use.

Drive consolidation toward a single source of truth within each procurement data domain. Where multiple reports or datasets exist covering the same business question with inconsistent logic, this role is responsible for resolving that fragmentation into one authoritative, well-defined dataset.

Over time, develop repeatable processes for how data products are defined, reviewed, approved, and maintained as the CoE matures. 3. Data Quality Assess, clean, and prepare procurement data as part of building the first iteration of gold-layer datasets, identifying and resolving issues with completeness, consistency, and structure.

Use quality scores and metadata from the Data Portal as a baseline, and document additional quality findings surfaced during the build process. As the foundation matures, implement data profiling practices to identify where quality breaks down across procurement processes, and distinguish between issues that can be fixed in the data layer versus those that require upstream process changes.

Partner with IT, system owners, and business stakeholders to advocate for and implement durable fixes at the source rather than building around problems downstream. 4. Stakeholder Partnership Translate requirements from procurement stakeholders and CoE analysts into technical data solutions, and communicate clearly about what the data can and cannot support.

Proactively surface data gaps, quality issues, and coverage limitations to business partners and CoE leadership, and help drive prioritization decisions around how to address them. Serve as a technical resource for CoE analysts acting as data product owners, ensuring the datasets they depend on are reliable, well-documented, and understood.

Required Qualifications 5 or more years of experience in a data, analytics engineering, or business intelligence role with a strong SQL and data modeling focus Advanced SQL skills, including complex data modeling, transformation logic, and building layered views and datasets in a cloud data warehouse Hands-on experience with Google BigQuery or a comparable cloud platform such as Snowflake or Redshift Experience building and publishing data sources in Tableau Server, including row-level security and semantic layer configuration Working knowledge of data quality principles, governance concepts, and what it takes to produce a dataset others can trust Ability to communicate technical work clearly to non-technical business stakeholders Comfortable driving work forward independently and bringing structure to problems that are not yet well-defined Preferred Qualifications Familiarity with GCP services including Google Cloud Storage and Dataproc Experience with Python for data validation, automation, or lightweight processing tasks Familiarity with Dataiku or similar tools used for ad hoc analysis against structured datasets Experience with data transformation or orchestration tools such as dbt Experience with SAP Ariba, SAP S/4HANA, or ServiceNow as data sources Experience working with enterprise data catalog or data portal tools Familiarity with master data management concepts and data profiling techniques Background in procurement, supply chain, finance operations, or a similarly complex enterprise domain is a plus but not required Education Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.

OR Bachelor's degree in Finance, Accounting, or Supply Chain with an extensive background in data analytics and business intelligence data engineering. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $66,330.00 - $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: 08/17/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.