MastercardSenior Analyst, AI & Data Governance – Governance Enablement & Readiness
Mastercard is hiring a Senior Analyst, AI & Data Governance – Governance Enablement & Readiness in Bogotá, Colombia. Level rates it ; you can apply on Level.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level files it as a senior role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
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
Senior Analyst, AI & Data Governance – Governance Enablement & ReadinessOverviewMastercard’s Enterprise Data Governance team is seeking a Senior Analyst, AI & Data Governance to help enable data governance across the enterprise through a federated stewardship model. This self-starter will operationalize and assess governance readiness & maturity within business teams and data domains, help refine and mature the Enterprise Data Governance framework, and support data stewardship within business teams and data domains.
The ideal candidate has a strong understanding of data governance and data management practices and can turn policies and standards into practical, repeatable activities that business teams and data domains can adopt.
This role will report to a Director, AI & Data Governance.
Role
• Assess data governance readiness & maturity of business teams and data domains, including collecting and reviewing evidence, tracking metrics & KPIs, identifying gaps, and following remediation through closure.
• Prepare data governance readiness & maturity reporting for leadership, highlighting trends, risks, and recommended actions.
• Partner with Risk, Compliance, Privacy, and Internal Audit to support control testing, risk assessments, and audits with documentation and evidence of adherence.
• Review and recommend enhancements to specific policies, standards, procedures, guidance, and trainings that support the management of data and AI assets while ensuring compliance and responsible use.
• Implement and help continuously improve the data governance framework, adapting processes as data and AI practices change.
• Support the operationalization of Mastercard’s federated data stewardship model, helping business teams and data domains understand and perform data stewardship roles and responsibilities.
• Build and maintain stewardship playbooks, templates, procedures, and job aids so business teams and data domains can perform governance activities consistently.
All About You
• Bachelor's degree in Data Science, Information Technology, Business Administration, or a related field; CDMP or similar certification is a plus.
• Strong understanding of data governance and data management principles, practices, and methodologies, including industry frameworks such as DAMA-DMBOK.
• Highly motivated self-starter who works independently, takes ownership, and balances hands-on execution with continuous improvement.
• Proven ability to translate policy and standard requirements into practical procedures and monitoring activities
• Demonstrated experience in data governance, risk management, and compliance monitoring
• Strong understanding of metadata management with familiarity of business and technical metadata, business glossaries, critical data elements, classification, and lineage; experience with data catalog platforms is a plus.
• Ability to analyze current processes, identify inefficiencies, and recommend and implement improvements.
• Foundational understanding of change management, with the ability to support adoption of new governance practices across teams.
• Strong communication and interpersonal skills, with the ability to collaborate across teams and explain governance concepts in clear, business-friendly terms.
• 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.
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.
How we rate this
Senior Analyst, AI & Data Governance – Governance Enablement & Readiness at Mastercard rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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