Visa is hiring: Strategy Analyst, Data & AI in San Francisco

Strategy Analyst, Data & AI

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Global Data Office With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa's Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.

Led by Visa's Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa's Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa's global lines of business, the Global Data Office is evolving Visa's data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.

This position will support the Strategy Team in the Global Data Office it is well-suited to candidates with a background in strategy consulting, management consulting or corporate strategy. The role will involve participation in projects to define and communicate Product, Data & AI strategy as well as communications and market insights.

Responsibilities include:

• Participate in strategy projects and lead workstreams
• Structure and solve business problems, collaborating with internal stakeholders to make recommendations
• Develop rigorous, fact-based, quantitative analysis to support recommendations
• Monitor and report on project progress, identifying and addressing any issues or risks.

• Conduct market research and analysis to identify trends, opportunities, and challenges related to data strategy and AI
• Provide insights and recommendations to support strategic decision-making and business growth.

• Produce key project deliverables such as presentation materials and reports
• Draft product stories, case studies, market updates and key messages for internal communications - supporting Product Marketing and Communications teams as required.

This is a hybrid position. Expectation of days in office will be Tuesday, Wednesday and Thursday.

Qualifications

Basic Qualifications:

• 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Experience in strategy development or consulting
• Experience of working with cross-functional teams, including product, marketing and communications
• Passion for payments and emerging technologies, especially AI.

Skills and Competencies:

• Strong analytical and problem-solving skills with the ability to interpret complex data and analytics
• Ability to manage multiple priorities in a fast-paced, dynamic environment
• Proficiency in Excel, PowerPoint, and data analytics tools and software
• Strong communication and stakeholder management skills
• Strong project management and organization with the ability to independently lead workstreams
• Payments experience preferred