Role at a glance
- Job function
-
AI & Data Other
- Salary
- Not Disclosed
- Location
- Bogota, Colombia
- Employment
- Full-time
- Experience
- 6+ years of experience in data analysis, data governance, data management, data quality or a related field, preferably in a large enterprise, financial services, or payments environment.
- Education
- Bachelor’s degree required; degree in Data Science, Information Technology, Business Administration, or a related field is a plus, but...
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Role Summary
The Manager, AI & Data Governance enables enterprise data governance through a federated stewardship model. The role operationalizes stewardship across business teams and data domains, moving governance issues to documented decisions and supporting adoption of data and AI management practices.
What You'll Do
- Triage and research stewardship issues, analyze root causes across source systems, warehouse logic, and downstream reports, and drive...
- Maintain business glossary terms, critical data elements, classification, and transformation logic in the data catalog, translating...
- Maintain an audit-ready intake tracker and prepare status updates, metrics, and summaries for leadership and executive sponsors.
- Prepare stewardship meeting materials and recaps that capture decisions, action items, and owners, and follow up until items are closed.
- Build and maintain playbooks, templates, procedures, and job aids; support steward onboarding, training, communications, and forums to...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree required; 6+ years of experience in data analysis, data governance, data management, data quality, or a related field. Strong SQL and Excel skills; CEFR English proficiency at C1 (Advanced) or equivalent. Strong understanding of metadata management, including business and technical metadata, business glossaries, critical data elements, and classification. Ability to facilitate meetings, communicate clearly with technical and non-technical audiences, influence without direct authority, and build cross-functional relationships. Familiarity with federated governance models, data stewardship frameworks, master data management concepts, and change management; strong problem-solving, organizational, and critical-thinking skills.
Required
- Bachelor’s degree
- 6+ years of experience in data analysis, data governance, data management, data quality, or a related field
- Strong SQL and Excel skills
- CEFR English proficiency at C1 (Advanced) or equivalent
- Strong understanding of metadata management, including business and technical metadata, business glossaries, critical data elements, and...
- Familiarity with federated governance models, data stewardship frameworks, and master data management concepts
- Foundational understanding of change management
Preferred
- A degree in Data Science, Information Technology, Business Administration, or a related field
- CDMP or similar certification
- Experience in a large enterprise, financial services, or payments environment
- Experience with data catalog platforms such as Atlan
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Manager, AI & Data Governance – Data Stewardship Analysis & EnablementSummary Role DescriptionMastercard’s Enterprise Data Governance team is seeking a Manager, AI & Data Governance to enable data governance across the enterprise through a federated stewardship model. This self-starter will operationalize data stewardship across business teams and data domains, drive stewardship issues from intake to documented decisions, and help refine and mature the Enterprise Data Governance framework.
The ideal candidate has hands-on experience running data stewardship processes, turning complex data logic into clear, documented decisions, and influencing stakeholders at all levels to adopt them.
This role will report to a Director, AI & Data Governance.
About this Role
Triage and research issues submitted to Data Stewardship and drive them to a documented decision.
Analyze root causes across source systems, data warehouse logic, and downstream reports.
Support stewardship teams by writing and maintaining business glossary terms, critical data elements, classification and transformation logic in the data catalog (Atlan), translating technical logic into plain language for non-technical stakeholders.
Keep an accurate, audit-ready intake tracker, with status, dates, decisions and rationale for each item, and use it to prepare status updates, metrics and summaries for leadership and executive sponsors.
Prepare agendas, pre-reads and supporting analysis for stewardship meetings, then write recaps that clearly show decisions, action items and owners, and follow up until items are closed.
Support the operationalization of Mastercard's federated data stewardship model by building and maintaining playbooks, templates, procedures and job aids that help business teams and data domains perform stewardship roles and governance activities consistently.
Drive awareness and adoption of data and AI management practices through steward onboarding, training, communications, and forums that improve data literacy across the networks.
Implement and help continuously improve the data governance framework, adapting processes as data and AI practices change.
All About You
Bachelor’s degree required; degree in Data Science, Information Technology, Business Administration, or a related field is a plus, but we value relevant hands-on experience over a specific field of study. CDMP or similar certification is a plus.
6+ years of experience in data analysis, data governance, data management, data quality or a related field, preferably in a large enterprise, financial services, or payments environment.
Strong SQL and Excel skills and comfortable tracing data lineage across systems.
CEFR English proficiency: C1 (Advanced) or equivalent. Ability to facilitate meetings, engage with business stakeholders, write clear documentation, and communicate complex data concepts to technical and non-technical audiences.
Strong understanding of metadata management, with familiarity with business and technical metadata, business glossaries, critical data elements, and classification. Experience with data catalog platforms such as Atlan is a plus.
Proven ability to influence without direct authority and build strong relationships with cross-functional teams and senior stakeholders.
Flexible and comfortable with ambiguity, works with a high degree of autonomy, and uses strong problem-solving and critical-thinking skills to keep work moving as priorities shift.
Highly motivated, pragmatic self-starter with excellent organizational skills and close attention to detail.
Familiarity with federated governance models, data stewardship frameworks, and master data management concepts.
Foundational understanding of change management, with the ability to support adoption of new governance practices across teams.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
About the company
Mastercard
Large Enterprise
Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.