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Director, Internal AI & Data Science - job 2 of 39

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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 Science team under the Global Data Office is focusing on how we can better create, enrich, and validate our own data sets using both internal data and external data sources, focusing on using AI and ML models to systematically collect and process data so that it can be used as a ground truth for many uses within Visa.

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 for collection and integration of external data sources into our own data, to be used to enrich our understanding of how Visa technologies are used to pay and be paid. The goal is to build a next-generation repository that can keep in line with the changing ways Visa credentials can be used.

Responsibilities include:
Overall design, development and delivery of approaches needed for collection, processing, and integration of external, structured and unstructured data at scale, into a flexible data model.
• Data sources include information about business across industry segments, across global markets, and spanning social media, public, and commercial databases.
• Transforming the above data assets into a multitude of intelligent tags and personas using appropriate, scalable, modeling techniques.

Technical Leadership:
- Develop and execute a vision for data science capabilities related to enriching internal data sets
- 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, AI/ML, GenAI/LLMs, 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 plan for enrichment of core data sources 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. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$145000 / YEARLY (est.)

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$130000K

$160000K

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What You Should Know About Director, Internal AI & Data Science, Visa

As the Director of Internal AI & Data Science at Visa in Atlanta, you will be at the forefront of driving innovative data strategies that are crucial for our future growth. With the era of data upon us, you will lead a talented team of data scientists to harness the power of both internal and external data sources, applying cutting-edge artificial intelligence and machine learning techniques to enrich our datasets. Your role will entail the overall design and delivery of processes for collecting and integrating massive amounts of structured and unstructured data into our flexible models. You will collaborate closely with Visa’s Chief Data Officer and Chief Privacy Officer, as well as various cross-functional teams, to ensure we leverage our data for maximum business impact. We’re looking for a passionate leader who is not just technically savvy but also has a vision for future data capabilities. You'll foster a culture of collaboration, innovation, and continuous learning among your team, while guiding them to develop high-quality AI-driven products and services that can alter the way Visa technologies are utilized in payment systems. This position is hybrid, meaning a mix of remote work and on-site collaboration, with the days in the office to be confirmed by your hiring manager. Join us, and become a key player in Visa's mission to responsibly use data that drives not just business success but also positive changes in the way we transact globally.

Frequently Asked Questions (FAQs) for Director, Internal AI & Data Science Role at Visa

What are the key responsibilities of the Director, Internal AI & Data Science at Visa?

The Director, Internal AI & Data Science at Visa is responsible for the overall design, development, and delivery of approaches needed for data collection and integration at scale. This includes transforming extensive datasets into intelligent tags and personas using advanced modeling techniques, leading a team of talented data scientists, collaborating with multiple business units, and driving strategic initiatives to enhance Visa's data capabilities.