Senior Director

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. We are 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.

About the role

The Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Led by Visa’s Chief Data Officer and working closely with Visa’s Chief Privacy Officer, the Technology organization, and global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm.

This role supports the Vice President of Infrastructure, Data Engineering, and Business Intelligence within the Global Data Office. Key duties include developing comprehensive data strategies and implementing advanced technological processes. The position requires close collaboration with senior leaders across various departments to ensure alignment and integration of data management practices throughout the organization. Responsibilities also encompass the establishment and enhancement of robust data management practices, leveraging skills in product management, platform development, and stakeholder management.

Responsibilities

• Define, architect, and execute global Data/AI management/governance platform strategy for Visa, focusing on scaling data products and solutions.
• Manage a team of product managers, data analysts, and process managers to deliver on the target architecture for merchant data.
• Lay out the vision and strategy for each aspect of the Data & AI Governance Platform, including data quality, metadata, context layer, access rights, and consent management.
• Collaborate with and influence senior leadership to ensure your work directly impacts company strategy and direction.
• Liaise with stakeholders including product managers, marketing, data science, data engineering, and technology teams.
• Evangelize technical approaches to data management, including agentic solutions, data quality measurement, and product-led prioritization processes.
• Build and manage a team of talented product managers, process managers, and data analysts.
• Work with technology and business teams on Data Governance, Data Quality, and Data Architecture initiatives.
• Communicate technical insights and recommendations effectively with business customers and leadership teams.

Requirements

• In-depth understanding of data strategy, data governance, and data management practices.
• Good business acumen to align data management with the business needs of clients, including experience in the payments space.
• Ability to translate data and technical concepts into requirements documents, business cases, and user stories.
• Good understanding of agile working practices and related program management skills.
• Strong communication and presentation skills, with the ability to interact with cross-functional team members at varying levels.
• Ability to learn new tools and paradigms as data continues to evolve.
• Demonstrated intellectual and analytical rigor, with a team-oriented, energetic, collaborative, diplomatic, and flexible style.
• Intellectually curious and continuously striving to learn.
• Strong analytical and problem-solving skills with the ability to interpret complex data and analytics.
• Excellent leadership and team management skills, with a track record of developing and mentoring high-performing teams.

Qualifications

Basic Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree, or
• At least 10 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD), or
• A minimum of 5 years of work experience with a PhD.

Preferred Qualifications:

• 15 or more years of experience with a Bachelor’s Degree, or
• 12 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, or MD), or
• PhD with 9+ years of experience.
• 12+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics, or adjacent areas.
• 17+ years of work experience with a Master’s or PhD in an analytical field such as computer science, statistics, finance, economics, or adjacent areas.
• 5+ years of experience leading data management functions and related processes, such as data engineers or data scientists.
• 1+ years of experience with cloud technologies.
• 5+ years of experience managing large, global, and distributed teams to scope and deliver business outcomes, preferably in financial services or consulting.
• Familiarity with payments, lending, and consulting is a strong plus.
• Fundamental and broad knowledge of common data management, data engineering tools, and methodologies.
• Expert knowledge of technology processes for data management (e.g., Apache Spark, Postman, Artifactory, Python, Scikit Learn, Pandas, GitHub).

Pay

For roles located in the US, the estimated salary range for this position is $229,000.00 to $400,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors such as knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.

Benefits

• Comprehensive benefits package including Medical, Dental, and Vision.
• 401(k) retirement plan.
• FSA/HSA options.
• Life Insurance.
• Paid Time Off.
• Wellness Program.

Schedule

• Visa requires at least 3 days in-office per week; specific expectations will be confirmed by your Hiring Manager.
• Work hours vary based on the needs of the department.
• This position requires travel 5-10% of the time.