Product Manager (Data Governance Platform, Metadata Management, Data Stewardship, Access Management) (6-12 years)
AI in this role
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Overview:
With data being the fuel that drives our future, our strategies, policies, and business successes around data will define Visa's future growth. Unlocking value through trusted, innovative use of data on behalf of consumers, businesses, and communities is central to our success. Guided by Visa's Data Values and commitment to the responsible use of data, the Global Data Office (GDO) is leading the evolution of Visa's enterprise data capabilities to accelerate business growth and innovation.
Led by Visa's Chief Data Officer, the Global Data Office drives high-impact, enterprise-wide initiatives spanning data strategy, critical investments, platform modernization, and marketplace execution. Working closely with technology, product, operations, risk, compliance, and business teams across Visa's global organization, GDO is focused on building scalable data products and governance frameworks that enable trusted, actionable, and reusable data assets across the enterprise.
We are seeking a Manager, Data Governance Platform to support Visa's Data Governance Platform within the Global Data Office. This role will be responsible for driving the strategy, roadmap, delivery, and adoption of enterprise data governance capabilities, including data catalog, metadata management, data lineage, data quality, access management, and stewardship solutions. The Manager will partner closely with engineering, architecture, data domain teams, and business stakeholders to deliver scalable platform capabilities that improve data discoverability, trust, accessibility, compliance, and operational efficiency across Visa's data ecosystem.
The ideal candidate combines strong product management, data management, and platform delivery experience with the ability to translate business needs into scalable governance platform capabilities that drive measurable business outcomes.
All roles require digital fluency, including the ability to leverage emerging technologies such as Generative AI tools (e.g., ChatGPT, Microsoft Copilot) to improve governance processes, documentation, stakeholder engagement, and operational effectiveness.
Key Responsibilities:
Define and execute the product strategy and roadmap for Data Governance Platform capabilities, including data catalog, metadata management, lineage, data quality, access management, and stewardship solutions.
Gather, analyze, and translate stakeholder requirements into well-defined product requirements, user stories, acceptance criteria, and delivery plans.
Own and prioritize the platform backlog, balancing business value, regulatory requirements, technical dependencies, customer needs, and platform scalability.
Partner closely with engineering and architecture teams to design and deliver capabilities that improve data discovery, understanding, trust, access, and reuse across the enterprise.
Drive implementation and adoption of enterprise governance platform capabilities, including business glossary, metadata management, technical metadata harvesting, lineage, certification, and stewardship workflows.
Lead delivery of data quality capabilities, including profiling, rule management, monitoring, scorecards, exception management, and remediation workflows.
Define and enhance access management capabilities that enable streamlined data onboarding, entitlement management, approvals, and user self-service experiences.
Collaborate with business data owners, stewards, and technology teams to identify platform enhancement opportunities and prioritize investments based on business value and user needs.
Drive Agile product development processes, including backlog refinement, sprint planning, release management, user acceptance testing, and production readiness.
Define platform KPIs and success metrics, including adoption, metadata coverage, lineage completeness, data quality improvements, user engagement, and operational efficiency.
Monitor platform performance and customer feedback to identify opportunities for optimization, automation, and continuous improvement.
Communicate roadmap priorities, delivery progress, risks, and business outcomes to leadership and key stakeholders.
Support platform launch activities, onboarding programs, training initiatives, and change management efforts to accelerate adoption across Visa.
Evaluate emerging technologies, AI-enabled governance capabilities, and industry best practices to identify opportunities for innovation and platform modernization.
Build strong partnerships across Global Data Office, technology, security, engineering, analytics, and business organizations to drive successful platform adoption and delivery outcomes.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
6+ years of relevant work experience with a Bachelor's degree, OR 2+ years of experience with an Advanced Degree (e.g., Master's, MBA), OR a PhD.
Experience in data governance, data management, data quality, metadata management, compliance, risk management, or enterprise data programs.
Experience working with cross-functional stakeholders to define and implement business processes, standards, controls, and governance requirements.
Experience analyzing data-related issues and driving improvements through governance frameworks and operational processes.
Preferred Qualifications:
Experience as a Product Manager, Product Owner, Platform Manager, or Data Management leader supporting Data Governance, Metadata Management, Data Quality, Access Management, Catalog, or Data Platform initiatives.
Strong understanding of metadata management, data cataloging, lineage, data quality management, stewardship workflows, and access governance concepts.
Experience delivering enterprise-scale governance platforms such as Collibra, Atlan, Databricks Unity Catalog, DataHub, AWS Glue Catalog or similar solutions.
Experience defining and executing product roadmaps for governance platforms serving multiple business domains and global stakeholders.
Familiarity with data onboarding workflows, entitlement management, role-based access management, and data consumption patterns.
Experience defining platform KPIs, adoption metrics, metadata coverage measures, lineage completeness metrics, and data quality scorecards.
Strong understanding of APIs, integrations, metadata harvesting frameworks, workflow automation, and cloud-based data ecosystems.
Experience driving global platform adoption, stakeholder engagement, training, and change management initiatives.
Demonstrated ability to prioritize competing initiatives and drive delivery in a fast-paced, matrixed environment.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
How we score this
Product Manager (Data Governance Platform, Metadata Management, Data Stewardship, Access Management) (6-12 years) at Visa scores 8 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
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- AI Level 10 to 39
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