Description
Mastercard'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.
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.
Responsibilities
- 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.
Requirements
- 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.