About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?
About the role
As a Consulting Manager, Metadata Management, you will make an impact by leading enterprise metadata management, source-to-target data mapping, data lineage, and data governance initiatives across complex Banking and Financial Services environments. You will be a valued member of the Data & Analytics team and work collaboratively with Business, Risk, Finance, Compliance, Data Governance, and Technology teams to ensure critical data is properly defined, governed, traceable, and compliant with regulatory requirements, including BCBS 239.
In addition to hands-on delivery responsibilities, you will provide team leadership, stakeholder management, and support business development activities including proposals, RFP responses, and client-facing engagements.
In this role, you will:
Develop and maintain enterprise metadata repositories, business glossaries, data dictionaries, and governance artifacts across banking and financial services data ecosystems
Create and manage detailed source-to-target data mappings (STTM), transformation logic, data lineage models, and traceability frameworks across critical business and regulatory data flows
Partner with Business, Risk, Finance, Compliance, and Technology stakeholders to gather requirements, validate business rules, and translate regulatory requirements into metadata, mapping, lineage, and governance deliverables
Support BCBS 239 compliance, regulatory reporting, audit readiness, data quality assessments, reconciliation activities, and impact analysis for upstream and downstream data changes
Lead and mentor junior analysts, coordinate onshore and offshore delivery teams, and contribute to business development initiatives including RFPs, proposals, and client presentations
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 approximately 3 days per week onsite in a client or Cognizant office in Dallas, Texas or Tulsa, Oklahoma.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
7 years of experience in Data Analysis, Metadata Management, Data Governance, Data Lineage, or Source-to-Target Data Mapping
Banking or Financial Services industry experience
Extensive hands-on experience creating and managing Source-to-Target Mappings (STTM)
Strong expertise in Metadata Management, Data Governance, Data Lineage, Data Cataloging, and Data Quality frameworks
Experience supporting BCBS 239, Risk Data Aggregation, Regulatory Reporting, Finance Data, or related regulatory programs
Experience translating business, regulatory, and technology requirements into metadata, lineage, mapping, and governance artifacts
Strong stakeholder management skills with the ability to bridge business and technology organizations
Experience working across Risk, Finance, Compliance, Data Governance, and Technology teams
Experience conducting data quality assessments, profiling, reconciliation, validation, and impact analysis activities
Experience mentoring team members and coordinating onshore/offshore delivery teams
Excellent communication, documentation, and presentation skills
These will help you succeed
Hands-on experience with Collibra, Informatica, Alation, Ab Initio, or similar metadata management and governance platforms
Experience with enterprise data cataloging tools and data lineage platforms
Strong SQL skills and experience performing complex data analysis and validation
Familiarity with Data Warehousing technologies and ETL/ELT platforms
Experience supporting Risk, Finance, Regulatory Reporting, or Capital Markets data domains
Experience contributing to RFP responses, proposals, and client presentations
Proven experience leading small teams and supporting client-facing engagements
Strong attention to detail with a data-quality mindset
Ability to balance business meaning with technical implementation in highly regulated environments
Experience operating within audit-intensive and compliance-driven banking organizations
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
