Senior Director - Data Science, Personalization

Company Description

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

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. 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. 

The Global AI & Data Innovation team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data Innovations and products to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.

This position is in the Data Science vertical under the Global AI and Data Innovation team. In this role, you will lead a team of data scientists contributing to develop AI driven products and services, specifically focused on development of models and signals to deliver personalized customer experiences. These personalization models and signals will power Data Tokens and many other personalization-related use cases. The ultimate goal is to better link consumers with products and services, with benefits for every party in the payments ecosystem (consumers, businesses). 

Responsibilities include: 

Overall design, development and delivery of personalization models and signals to fuel AI products and services on a global scale

Technical Leadership:

• Develop and execute a vision for data science capabilities in the personalization space
• Lead the design and development of large-scale data science systems
• Foster innovation and experimentation within the team

Team Management:

• -Lead and manage a team of data scientists
• Provide guidance and mentorship to ensure high-quality deliverables
• Foster a culture of collaboration, innovation, and continuous learning

Data Science:

• Apply advanced data science techniques to drive business impact
• Stay up-to-date with industry trends and emerging technologies
• Develop and maintain expertise in multiple programming languages and data science tools

Collaboration:

• Work closely with cross-functional teams to integrate data science capabilities
• Communicate complex technical concepts and results to stakeholders
• Influence business decisions with data-driven insights

Technical Expertise:

• Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)
• Stay current with industry trends and advancements in data science tools and technologies (e.g.,   TensorFlow, PyTorch, scikit-learn)

Strategy:

• Develop and execute a personalization data science strategy aligned with business goals
• Identify opportunities for data science to drive business impact

Communication:

• Communicate complex technical concepts and results to stakeholders
• Present data science capabilities and results to senior leadership and business partners

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 t