MastercardManager, Enterprise Data Enablement
Mastercard is hiring a Manager, Enterprise Data Enablement in Bogotá, Colombia. Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Copilot, Databricks and Data Governance.
- 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
Manage enterprise data enablement and governance to support AI-driven products and services through product management and workflow automation.
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, Enterprise Data EnablementWho is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Within the AI and Data organization, the Data Strategy and Management team helps Mastercard manage data as a trusted enterprise asset. Through Data Enablement, we partner across the organization to deliver reusable, well-governed data products that improve access, quality, responsible use, and speed to value.
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.
How we rate this
Manager, Enterprise Data Enablement at Mastercard rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data management was part of your work. What did you do?
- Tell me about a project where workflow automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Product Management, Data Governance, Data Management, and Workflow Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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