Mayer Brown · 1 month ago
Specialist: Data Operations
US-IL-Chicago
Full-time
Onsite
Senior Level
$107K/yr - $142K/yr
5+ years expMayer Brown is an international law firm positioned to represent major corporations and financial institutions. They are seeking a Specialist: Data Operations to ensure data accuracy, taxonomy alignment, and access control compliance across enterprise systems and reporting platforms.
AdviceConsultingLegal
Responsibilities
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
Qualification
Required
Bachelor's degree in Information Management, Data Analytics, Business Administration, Computer Science, or a related discipline
5-7 years of experience in data analysis, business analysis, or technical documentation, preferably in a legal, professional services, or financial services environment
Proven experience in documenting business processes, data flows, and system integrations using tools such as Microsoft Visio and Lucidchart
Hands on experience with data profiling, data quality analysis, and metadata management within enterprise systems and reporting environments
Strong understanding of enterprise data documentation practices, including data dictionaries, metadata repositories, and report catalogs
Demonstrated ability to coordinate across business and IT teams, translating business needs into structured, actionable technical documentation
Experience supporting data governance initiatives, ensuring alignment with industry standards, regulatory compliance, and firmwide data policies
Strong proficiency in Microsoft Visio, Miro, or similar tools for creating system diagrams, data lineage mapping, and technical documentation
Strong Proficiency in SQL and Excel for data extraction and manipulation; familiarity with Python (pandas, NumPy) for data analysis and manipulation is a plus
Experience working with relational databases (e.g., SQL Server, Oracle, PostgreSQL) and metadata management tools such as Collibra or Informatica to document and track enterprise data assets
Familiarity with ETL processes and tools such as Talend, Azure Data Factory, or SSIS for supporting data movement and transformation workflows
Familiarity with Agile, Scrum, or PMO frameworks, using tools like JIRA, Confluence, or Microsoft DevOps for workflow tracking and collaboration on initiatives
Strong written and verbal communication skills, with the ability to communicate effectively and professionally at all levels of the firm, including senior leadership, technical teams, and external vendors
Ability to work in a diverse, cross-functional team environment, effectively supporting the demanding needs of a global law firm
Proven ability to work under pressure and manage multiple priorities, meeting deadlines in a fast-paced environment with shifting priorities
Must be a self-starter, demonstrating a high level of initiative in problem-solving, process improvement, and driving data management best practices
Strong customer service orientation, anticipating stakeholder needs, proactively addressing concerns, and exercising independent judgment
Exceptional attention to detail and organizational skills, ensuring accuracy in documentation, data integrity, and process adherence across multiple projects
Maintains confidentiality and exercises discretion
Demonstrates strong strategic thinking and problem-solving skills, analyzing complex data challenges and developing structured, actionable solutions
Ability to present complex data concepts to nontechnical stakeholders, translating technical information into clear, business-friendly insights
Collaborate effectively across departments and organizational levels, ensuring alignment between business needs, IT capabilities, and governance policies
Strong analytical and problem-solving skills with a focus on delivering business value through data-driven solutions to enhance reporting, data governance, and decision making
Deep understanding of data analytics, business intelligence, and data management principles
Preferred
Master's degree in Information Management, Data Analytics, Business Administration, Computer Science, or a related discipline
Industry-recognized certifications (preferred): Certified Data Management Professional (CDMP) – DAMA International, Certified Business Analysis Professional (CBAP) – International Institute of Business Analysis (IIBA), Microsoft Certified: Azure Data Analyst Associate or equivalent certification in AWS/GCP
Experience in an international law firm or multinational professional services firm, working with multijurisdictional data policies, privacy regulations, and compliance requirements
Benefits
Medical/dental/vision/life/and AD&D insurance
401(k) savings plan
Back-up childcare and eldercare
Generous paid time off (PTO)
Opportunities for professional development and growth
Company
Mayer Brown
Mayer Brown is a leading global law firm with offices in key business centers across the Americas, Asia and Europe.
1001-5000 employees
H1B Sponsorship
Mayer Brown has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (24)
2023 (13)
2022 (10)
2021 (9)
2020 (15)
Funding
Current Stage
Late StageLeadership Team
Blaise Latella
Partner
Jean-Philippe Montfort
Partner
Recent News
globallegalchronicle.com
2025-11-07
2025-11-06
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