Director, AI Transformation

About the position 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 Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data- The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams. This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

Responsibilities

• Own the AI transformation roadmap for workflow automation, ensuring that agentic AI initiatives align with business objectives and deliver measurable outcomes.
• Lead discovery and design efforts by mapping business processes, identifying high-value automation opportunities, and defining agent roles, capabilities, and governance guardrails.
• Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools.
• Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks.
• Drive program execution by managing sprints, milestones, budgets, and stakeholder engagement across cross-functional teams.
• Partner with business leaders to translate operational challenges into scalable AI solutions and quantify the ROI of automation initiatives.
• Collaborate with multidisciplinary teams—including AI engineers, data scientists, UX, and operations—to deliver impactful outcomes.
• Lead organizational adoption of AI tools and processes through Centers of Excellence or transformation programs.
• Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms.
• Ensure governance and risk management by enforcing standards for security, privacy, compliance, and ethical AI practices.
• Measure and iterate on outcomes by defining and tracking KPIs for productivity, performance, quality, and adoption, driving continuous improvement and scalability.

Requirements

• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
• AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face.
• Agentic AI: LangChain, LlamaIndex, or similar orchestration frameworks.
• Data Engineering: SQL, Spark, Databricks, Airflow, Kafka, ETL/ELT.
• Programming: Python (primary), plus Java, Scala, or R familiarity.
• Cloud & MLOps: CI/CD, model monitoring, retraining, Docker, Kubernetes.

Nice-to-haves

• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 5–8+ years in product/program management with direct AI solution delivery; Experience deploying Agentic AI solutions
• Hands-on Technical experience: At least 3–5 years coding, prototyping, and deploying AI/ML solutions
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field
• Proven track record implementing automation in enterprise contexts
• Supplementary certifications in AI product management, cloud platforms, or project/program management (e.g., PMP, Agile/Scrum) are advantageous.

Benefits

• Medical
• Dental
• Vision
• 401 (k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

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