Director, Data Lifecycle Capabilities
VisaAbout the role
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
• Champion the effort in driving and maturing a robust Data Management capability at Visa
• Maintain a strong foundation of data lifecycle management capabilities, embedded into key platforms to strengthen Visa’s data lifecycle capabilities
• Contribute to the design, build out and maintenance of best in class platforms, tools and capabilities leveraging AI/ML to support data owners, stewards and users growing demand for intelligent & insightful data lifecycle management.
• Lead the definition, development and ongoing management & evolution of an integrated data management ecosystem
• Serve as Subject Matter Expert (SME) on implementation and maintenance of a Vendor provided Enterprise Data Catalog capability
• Deliver enterprise data capabilities, including but not limited to, capabilities to improve quality, lifecycle management, and analysis solutions
• Design, implement, and oversee suitable processes and system capabilities to maintain a comprehensive data inventory and catalog
• Create solutions for managing data lifecycle and lineage of data assets through analyzing, developing, and deploying an enterprise data catalog that addresses data lineage in support of privacy, security, regulatory, legal objectives in alignment with Visa’s policies and standards
• Conduct business process analysis, needs, assessments, and leads design sessions/user story workshops to align solutions with business needs
• Lead and performing interviews of complex areas with business and technical experts to maintain accurate baseline data inventory
• Turn data into action through rolling up complex issues across multiple business areas and developing solutions to address
• Contribute to the development of enterprise-level technology solutions, leveraging automation, AI and ML techniques
• Oversee systems and capabilities under development and ensuring proper level of documentation in place and maintained
• Work closely with Data Lifecycle Management Partners to ensure business challenges are properly addressed through sustainable solution/ approach
• Partner with business/technical staff to diagnose issues and create improvement suggestions
• Serve as a SME for critical data project(s), mapping data elements, ensuring appropriate metadata is captured, and rules are defined for critical data elements
• Leverage large data sets to provide insight-driven decision-making support for strategic initiatives around viewing insights
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications:
• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 3+ years of metadata management experience, with a particular focus in the data, technology and/or operations space highly preferred and experience in designing and developing taxonomies, data classifications, governance of catalogue controls (flagging, correction, and workflow)
• Knowledge of Industry frameworks and Best Practices (e.g., DCAM (Data Capability Assessment Model), CDMC)
• Experience with data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, metadata management, data standards, regulatory
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