Vice President, Global Data & Analytics, Data Science Practice

Visa•Foster City, CA

10h•$279,800 - $490,100•Hybrid

About The Position

Visa is a world leader in payments technology, dedicated to uplifting everyone, everywhere. The Global Data Organization (GDO) at Visa is actively pursuing new data and analytics innovations, including Gen/Agentic AI opportunities, to drive bold transformation. This Vice President of Global Data & Analytics role reports to the Chief Data Officer and is a core member of the GDO Leadership Team. The position is critical for leading both mature and newly formed teams to achieve ambitious goals, acting as a catalyst for data, analytics, and AI innovation. The leader will leverage Gen and Agentic AI to help internal partners across Visa make informed decisions and optimize business operations through insights and analytical tools. This role requires a thought partner to senior leaders, aiming to enhance Visa through data, insights, and AI. The Vice President will establish and guide a team to execute strategic priorities and shared objectives across the GDO, leading several internal D&A functions for regions (CEMEA, EU, LAC), Commercial Money Solutions, Value-Added Services, Marketing & Finance, and Merchant Data, while also co-leading the GDO Strategic Analytics Function in a matrix relationship. Collaboration with other D&A and Data Science practices across Visa is expected to drive standardization and innovation through communities of interest and shared tool development. Ideal candidates are perseverant problem solvers, visionary leaders, and externally recognized analytical and AI thought leaders skilled in change management, high-performing teams, innovative AI solutions, and global leadership.

Requirements

12 or more years of work experience with a bachelor’s Degree or at least 10 years of experience with an Advanced degree (e.g. Masters/ MBA/JD/MD) or at least 8 years of work experience with a PhD
15 or more years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD, PhD)
15+ years of work experience in high-profile/high-impact project management
Experience building data science or data & analytics organization across financial institutions or payment companies.
Advanced experience leading large, multi-disciplinary (data science, data engineering, AI scientist, BI scientist) teams
Advanced experience and knowledge of Gen AI, Agentic AI and ML – including Python.
Experience with Open Source software.
Advanced project management skills with the use of Project Management software
Successful track record of operating cross-functionally, ideally in a federated enterprise design
Proven ability to work under deadlines and manage multiple projects with evolving requirements
Team player possessing a strong drive to add value to the business direction
Ability to influence the organization in order to make strategy happen
Very strong analytical mindset and superior problem-solving ability, with demonstrated intellectual and analytical rigor.
Strong business and commercial acumen
Deep technical (Gen and Agentic) AI and ML expertise
Demonstrated experience building and scaling business intelligence solutions, analytical decision-making and optimization tools, valuations / customer-life cycle tools.
Deep understanding of concepts of working with and profitably utilizing big data in financial institutions and payments.
Highly adaptive, comfortable working within a complex, and often ambiguous, environment.
Equally capable of thriving with changing circumstances.
Comfort and experience working in a global, matrixed global institution
Ability to rapidly comprehend changes in the business landscape (whether regulatory, competitive, or business-related) and design around the expected impact.
Exceptional team management and leadership skills that excel in dynamic and global workplace.
Proven record to drive effective organizational change and culture change.
Exceptional coach and People Manager invested in the growth and development of a newly formed team.
Proven record delivering innovation while simultaneously strengthening core operations, product, and solutions
Strong delivery and risk management frameworks to ensure safe and scalable deployment of innovative solutions
Very strong executive communication skills and executive presence to lead cross-organizational change and delivery.
Exceptional at quarterly budget and external contractor management, especially to drive outstanding results in budget and on time
Exceptional stakeholder management skills.
Strong interpersonal and leadership skills to influence and build credibility with senior leaders across a federated organization, despite sometimes competing priorities.
Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays
Be a strong, trusted internal spokesperson and advocate for Visa’s responsible data and AI use culture, our supporting Data Values and Policies.
A true leader in the AI community- internally and externally.

Nice To Haves

Curious and lifelong learner who keeps us to date on emerging trends and technology

Responsibilities

In close partnership with respective business unit leaders, define and deliver the overall Data, Analytics and AI strategy, organization and roadmap for each business unit.
As a D&A General Manager to each respective business unit, work with partners across the GDO and Tech to deliver high impact analytical decision-making and optimization tools, (Gen and Agentic AI) innovations and help define the data and analytical foundation for Visa to be the most data-driven and AI-first payments company.
Internal thought-leader across all the various data science and D&A teams across Visa.
Build a community of interest, with standardized best practices and innovative tools/salutations that drive predacity and unleash the creativity of our D&A community.
Drive innovative business application of data and (Gen and Agentic) AI to solve business problems as a key source of Visa value-add for clients and internal value delivery
Act as a strong customer for enterprise analytical and data platforms and capabilities
Attract, develop and retain a high-performing team of full-time employees specialized in analytics, data science and AI/ML across multiple global locations