What are the responsibilities and job description for the Vice President, Growth Analytics position at Visa?
Visa is seeking a visionary VP of Analytics to transform its global analytics and measurement strategy. This global leadership role has strategic impact across the enterprise translating complex data into clear guidance that measures impact while driving growth and competitive advantage. The VP will oversee the Global Marketing Measurement and Social & Digital Intelligence teams.
In this role, the VP will establish cutting-edge measurement frameworks – including advanced multi-touch attribution modeling and enhanced holistic marketing impact models to quantify marketing effectiveness across all channels and link brand strength metrics to business performance. As an AI-driven innovator, this leader will integrate technologies such as predictive modeling, & generative AI, real-time scenario planning, and personalization engines into the analytics function (building on Visa’s commitment to AI integration in analytics). These capabilities enable Visa to move beyond traditional analytics into proactive, forward-looking intelligence - for example, using AI for instant trend analysis and 'on-the-fly' optimization recommendations.
Key Responsibilities
The Vice President of Analytics will be entrusted with broad, high-impact responsibilities to ensure that the company’s marketing initiatives and strategic decisions are driven by robust data & insights. In this role, the VP will be expected to:
Visionary Leadership: Define and drive a forward-looking analytics strategy, leveraging AI and big data to create competitive advantages to enable predictive modeling and real time simulations, to accelerate decision making and inspire transformative change.
Strategic Thought Partner: Advise senior executives by connecting analytical insights with business goals, moving seamlessly between technical analysis and strategic direction.
Advance Frameworks, Performance Measurement and Optimization: Develop sophisticated techniques and global standard, KPIs and dashboard to accurately assess marketing performance and maximize returns.
AI Driven Analytics - Lead AI initiatives across the Insights and Analytics function. Integrate AI and machine learning within the analytics function to support predictive modeling and real-time 'what-if' simulations that anticipate outcomes as variables shift, advancing beyond traditional retrospective reporting generative AI to streamline insight generation and accelerate decision-making processes.
Data-Driven Customer Engagement: Analyze customer data to deliver actionable insights, enabling personalized marketing and enhancing customer experience and value.
Connected Social & Market Intelligence: Monitor consumer sentiment and competitor activity in real time, proactively addressing trends and measuring campaign impact for informed decisions.
Collaboration & Influence: Build strong cross-functional partnerships and drive alignment on analytics initiatives, securing organizational support for strategic initiatives.
Global Mindset: Value diverse perspectives, lead teams and projects across multiple countries to generate richer insights, influence without authority, coach and mentor teams, fostering continuous learning and attracting top analytics talent.
Innovation & Agility: Champion innovation and agile practices, encouraging experimentation and rapid iteration to scale successful solutions.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.