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Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Data Governance Analyst

Position Summary

The Data Governance Analyst supports Pearson OCTO Data Governance by documenting, standardizing, and publishing trusted metadata for enterprise datasets in the Enterprise Data Warehouse (EDW) and Product Interaction Data in Snowflake. This role works primarily in Collibra to create and maintain high-quality data asset documentation (business definitions, technical descriptions, ownership, classification, and lineage where available) so that data can be discovered, understood, and used safely and effectively across Pearson. You will partner closely with data platform, engineering, analytics, and business stakeholders to prioritize documentation needs, capture institutional knowledge, and translate/migrate existing documentation from Confluence and SharePoint into Collibra using Pearson standards and governance workflows.

Key Responsibilities

• Collibra asset curation : Create, edit, and curate Collibra assets for EDW and Snowflake datasets (domains/communities as applicable), including required attributes, relationships, and ownership/stewardship assignments.

• Metadata stewardship & documentation : Develop clear dataset documentation (business meaning, technical context, examples, interpretation notes) and maintain it over time through Collibra’s governance workflows.

• Documentation migration : Identify relevant existing documentation in Confluence/SharePoint; translate it into Collibra-friendly content, reconcile discrepancies, and retire or reference outdated sources as agreed.

• Data discovery enablement : Organize and enrich Collibra content so analysts, product teams, and business users can quickly find trusted datasets and understand how to use them.

• Stakeholder interviews : Facilitate working sessions with SMEs (data engineers, analysts, product, finance, sales ops, etc.) to capture institutional knowledge, validate definitions, and confirm ownership.

• Classification & compliance support : Partner with governance and risk stakeholders to ensure sensitive elements (PII/PHI/PCI or other restricted data) are correctly identified and documented in Collibra, including handling guidance and access considerations.

• Business glossary alignment : Translate technical column/table terminology into business terms; create/link Collibra glossary terms and ensure consistent definitions across domains.

• Data quality context : Capture known data quality issues, monitoring signals (where available), and recommended remediation or escalation paths; link to tickets/runbooks where applicable.

• Standards & conventions : Apply agreed Collibra naming conventions, templates, and required fields; recommend improvements when gaps are found.

• Continuous improvement : Propose ways to streamline documentation and stewardship in Collibra (templates, checklists, bulk-load approaches, and integration with ingestion/SDLC processes).

Work model: Hybrid

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3-4 days a week in a client or Cognizant office in Denver, CO. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

Tools & Platforms (Expected)

• Collibra:Primary platform for cataloging, glossary, stewardship workflows, and governed metadata)

• Snowflake: Ability to view and understand data and structure

• Enterprise Data Warehouse (EDW) and associated semantic/reporting layers (as applicable)

• Confluence/SharePoint (source repositories for existing documentation to be migrated/translated into Collibra)

• SQL and query tools (Snowflake Worksheets, DBeaver, etc.)

• Issue/work tracking (e.g., Jira) and collaboration tools (Teams)

Qualifications

Required

• Strong experience in data stewardship, data governance, analytics enablement, metadata management, or data product documentation.

• Good writing and information design skills: ability to turn complex technical concepts into clear, usable documentation.

• Working knowledge of data warehousing concepts (tables/views, facts/dimensions, ETL/ELT, refresh cadence, and common data quality issues).

• Ability to read and write SQL at a level sufficient to explore datasets, validate definitions, and identify anomalies.

• Demonstrated ability to collaborate across technical and business teams and drive work to closure (intake → draft → review → publish).

• High attention to detail and comfort working across many datasets, domains, and stakeholders.

Salary and Other Compensation:

Applications will be accepted until March 27, 2026.

The annual salary for this position is between $80,000- $135,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.