Senior Manager, Applied AI Solutions and Enablement

Visa • San Francisco, CA

14h • Hybrid

About The Position

Team background: The North America Executive Office & Initiatives team advances the regional strategic agenda through operational excellence, innovation, and client-centric execution. We are hiring a select number of roles to embed directly into North America business teams (beginning with sales and our Executive Office team) to serve as a hands-on applied AI solutioning leads and builders. The role will be the lead for the pod. Job Description: The Senior Manager, Applied AI Solutions and Enablement is a hands-on builder and applied AI delivery lead responsible for identifying AI and automation-ready workflows, rapidly developing internal AI-powered tools and agents, and shepherding delivery of high-impact solutions through a small pod of applied AI analysts. Beyond managing the pod of analysts, a core responsibility of this role is driving internal transformation by rolling out AI tools, training teams, and embedding new GenAI‑first ways of working. Success in this role is defined by the quality, relevance, and adoption of the solutions delivered, as well as by the ability to guide technical builders and ensure teams effectively use the AI tools and workflows produced. This role combines deep technical fluency with strong coaching instincts, operating as the go-to resource for applied AI within embedded team in North America.

Requirements

• 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
• Demonstrated hands-on experience building AI-powered tools, agents, or automations, with fluency in coding and modern AI development workflows.
• Strong working knowledge of enterprise AI platforms, foundation models, and agent orchestration frameworks, including Microsoft AI solutions (e.g., Microsoft 365 Copilot, Copilot Studio), leading model ecosystems (e.g., Claude, Grok, OpenAI, Gemini), and agentic tooling/platforms (e.g., Claude Cowork, OpenClaw).
• Working fluency in commonly used programming and scripting languages for AI‑driven tooling and automation (e.g., Python, JavaScript/TypeScript, SQL), with comfort guiding, reviewing, and iterating on AI‑generated code.
• Proven ability to translate ambiguous business problems into practical, AI-enabled solutions that improve productivity and execution.
• Experience or aptitude for coaching and guiding technical builders (e.g., applied AI analysts) through solution design, code review, and delivery, with a clear orientation toward reusable, high-quality outcomes.
• Digitally native mindset with curiosity, speed, and comfort operating in evolving AI toolsets and environments.
• Ability to work autonomously within an embedded team, building trust with stakeholders and balancing rapid delivery with scalable design.
• Strong communication skills, with the ability to explain technical concepts clearly to non-technical audiences.

Nice To Haves

• 9 or more years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

Responsibilities

• Identify and replace manual or inefficient workflows by designing and building internal AI-powered tools, agents, and automations that integrate with Visa’s systems and ways of working.
• Own and guide applied AI pod in the upfront scoping and structuring of GenAI‑enabled tools and processes, working with embedded teams to define problem statements, success metrics, and solution approaches before guiding delivery through the applied AI pod.
• Serve as the embedded applied AI expert for the assigned team, acting as the primary builder, advisor, and problem-solver for AI-enabled workflow transformation.
• Enable and scale adoption of delivered AI solutions through targeted pairing, hands-on support, and clear “how-to” guides that allow teams to effectively use, adapt, and extend the tools and workflows produced.
• Templatize and document AI solutions to ensure reuse, consistency, and scalability across use cases and team members.
• Lead training, onboarding, and ongoing enablement within analyst(s) assigned teams to ensure tools are adopted, trusted, and integrated into daily workflows.
• Drive measurable adoption and capability lift, tracking success through usage, reuse of tools/templates, and the number of new internal builders enabled.
• Provide hands‑on technical guidance and direction to a small pod of applied AI analysts, setting priorities, reviewing approaches, and shepherding work from concept through delivery to ensure high‑quality, reusable AI solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees