Job Description
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you’ll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job Description
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.
Key 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.
Please include(1) a clear summary (no more than one paragraph) of why you are interested in doing this work at Visa, and (2) at least 2 examples of shipped GenAI/LLM solutions with tangible artifacts (code, demo, or written walkthrough). Resumes without these two items will NOT be considered, thank you.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
- 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
Preferred Qualifications
- 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
- 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.
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 169,100.00 to 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
