The Role
We are seeking a collaborative and strategic Manager of Data Enablement to shape how governed, contextual data supports AI-driven products, services, and analytics. This role combines product management, data governance, data analysis, and intelligent automation to expand enterprise data capabilities, improve operational efficiency, and deliver measurable business value.
In This Role You Will
Translate business priorities and customer needs into scalable requirements for data products, stewardship, metadata, and AI governance.
Advance Mastercard’s data product operating model and governance framework to promote enterprise reuse, consistency, and standardization.
Partner with engineering, platform, architecture, and product teams to prioritize and deliver data management and governance capabilities.
Apply AI and workflow automation to streamline governance, stewardship, intake, documentation, reporting, and decision support.
Embed governance by design to increase reuse, reduce duplication and friction, and measure adoption and business outcomes.
All About You
The ideal candidate for this role should have
Proven leadership in shaping and delivering enterprise data, analytics, governance, AI, or technology products that produce measurable business outcomes.
Strong analytical leadership, with the ability to interpret complex datasets, schemas, and semantic models; translate findings into clear business insights and decisions; and measure adoption, performance, and business value.
Deep knowledge of data governance and management, with the ability to establish practices that strengthen metadata, data quality, stewardship, data products, data contracts, semantic layers, and lineage.
Demonstrated success leading AI and automation initiatives that improve business performance while maintaining strong governance, security, privacy, risk management, and appropriate oversight.
Ability to align stakeholders, set product direction, and translate complex business priorities into executable roadmaps, clear requirements, and measurable results.
Exceptional communication, influencing, and facilitation skills, with a track record of leading cross-functional teams through ambiguity and delivering accountable outcomes.
Preferred Experience
Intermediate to advanced expertise in enterprise data, analytics, and governance, including data quality, metadata, lineage, stewardship, semantic models, and governed data products.
Working to advanced knowledge of data platforms such as Microsoft Fabric, Dataverse, Databricks, AWS EMR, Atlan, and Collibra.
Intermediate to advanced knowledge of process automation technologies, including process mining, workflow automation, robotic process automation, Microsoft Power Platform, Microsoft Copilot, and agentic automation.
Experience using SQL, Excel, Power BI, Python, or similar tools to analyze data and communicate insights clearly.
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.
