Specialist: Data Operations
Listed on 2026-01-12
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IT/Tech
Data Analyst, IT Business Analyst, Data Security
Overview
Mayer Brown is an international law firm positioned to represent the world’s major corporations, funds, and financial institutions in their most important and complex transactions and disputes. We are recognized by our clients as strategic partners with deep commercial instincts and a commitment to creatively anticipating their needs and delivering excellence in everything we do. We are a collegial, collaborative firm where highly motivated individuals with an unwavering commitment to excellence receive the opportunity, support, and development they need to grow, thrive, and realize their greatest potential, all while supporting the Firm’s client service principles of excellence, strategic partnership, commercial instinct, integrated strengths, innovation, and collaboration across our international firm.
If you enjoy working with team members whose defining characteristics are exceptional client service, initiative, professionalism, responsiveness, and adaptability, you may be the person we are seeking to join our Information Technology department in our Chicago office, as a Specialist:
Data Operations.
- Serve as the lead for ensuring data accuracy and quality across enterprise systems, monitoring applications and reports to identify and resolve quality issues before they impact business operations.
- Validate data quality against established standards and identify remediation needs.
- Verify accuracy of data transformations and mappings between systems.
- Document end-to-end data lineage for critical data elements to ensure data accuracy.
- Document and track data quality metrics and issues.
- Ensure data aligns with enterprise taxonomy, legal data schemas, and enterprise data dictionaries, maintaining consistency in definitions, values, and classification codes across the enterprise.
- Ensure consistent implementation of taxonomy classification across key firm systems and reports.
- Validate data values against enterprise data dictionaries and approved legal data schemas.
- Help maintain and evolve comprehensive data definitions to support taxonomy consistency.
- Identify opportunities for standardization and optimization in taxonomy application.
- Enforce data classification policies and validate user access controls to ensure they align with data owner requirements and governance standards across enterprise systems.
- Monitor and enforce compliance with data owner requirements and access control protocols.
- Validate that access controls align with data classification policies and data owner specifications.
- Partner with IT and technical teams to implement access control requirements.
- Balance day-to-day operational monitoring with project representation, ensuring new implementations maintain data accuracy, adhere to taxonomy standards, and properly configure data access controls.
- Ensure project data requirements align with enterprise taxonomy definitions and standards.
- Review project specifications to validate adherence to data management methodology.
- Ensure project access control configurations align with data classification policies.
- Propose and document workflow changes to support evolving data and taxonomy requirements.
- Validate data migration and integration activities for governance compliance.
- Bridge business units, IT teams, and data owners to ensure seamless alignment of data accuracy requirements, taxonomy standards, and access control needs across departments and systems.
- Partner with Business Services and Practice teams to understand evolving data requirements.
- Facilitate working sessions to align classification needs and access requirements across departments.
- Collaborate with business services teams to improve data entry processes and eliminate redundancies.
- Communicate data standards, taxonomy requirements, and access control policies to stakeholders.
- Required:
Bachelor’s degree in Information Management, Data Analytics, Business Administration, Computer Science,…
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