Manager, AI & Data Governance – Data Stewardship Analysis & Enablement
Bogotá D.C., Distrito Capital de Bogotá, Colombia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingTriage 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.
Triage and research stewardship issues through to documented decisions
Analyze root causes across source systems, warehouse logic and reports
Write and maintain glossary terms, critical data elements and catalog logic in Atlan
Keep the audit-ready intake tracker and prepare leadership status updates
Prepare meeting agendas, pre-reads, and recaps with decisions and owners
From the employer’s posting
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)
Keep an accurate, audit-ready intake tracker, with status, dates, decisions and rationale for each item
Prepare agendas, pre-reads and supporting analysis for stewardship meetings, then write recaps
Education & alternatives
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.
Tools in this posting
- SQL
- Excel
Source — Tool mentions in context
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.
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 9 days ago
- Recorded sightings
- 28
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on mastercard.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
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.
Source details
Source notes
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- Pay
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- Location & working pattern
Bogotá D.C., Distrito Capital de Bogotá, Colombia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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