Visa Technology and Operations

Manager, Social Impact

UA - Kyiv, Ukraine

810 Visa Technology and Operations LLC

Senior Manager, Data Science & Analytics - Global Marketing Services

About Us 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 About the Job 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 Visa is searching for a Senior Manager, Data Science & Analytics - Global Marketing Services to build and own the data and intelligence layer for Marketing Services’ AI solutions and agents. This role spans analytics and data science, combining deep analytical skills with AI data readiness expertise to convert VisaNet transaction data, client profile data, and market context into ranked, actionable growth opportunities. The ideal candidate is equally comfortable conducting exploratory analysis to frame business opportunities and building the predictive models and data structures that make those opportunities actionable at scale. This role will be part of the AI Transformation team within the Global Marketing Services organization. The Senior Manager will assess, structure, and prepare data assets for AI consumption, design the analytical frameworks and models that power opportunity detection and sizing, and own the opportunity scoring framework that surfaces ranked recommendations to business development teams. The role requires someone who can evaluate data readiness across multiple sources, identify gaps and quality issues, define the data preparation and enrichment needed to make content AI-ready, and then build the models that turn that data into intelligence. The role requires a leader who can work across the full spectrum, from data assessment and readiness through analysis, model development, and stakeholder communication. It demands comfort navigating raw, messy, and fragmented data environments, building the structure and pipelines that make data usable by AI systems, and translating analytical outputs into clear business recommendations. Reporting to the Senior Director, AI Transformation, Global Marketing Services, this leader will partner with Visa Consulting & Analytics (VCA), Global Insights & Analytics, Marketing Services regional teams, Visa Technology teams, and cross-functional partners across Finance, Legal, Privacy, Risk, and Compliance to build data solutions for the intelligence layer and ensure data foundations are AI-ready. Key Responsibilities Own the data and intelligence layer for AI solutions and agents: Design and build the end-to-end analytical solution that converts raw data into ranked, actionable client growth opportunities. Define the model architecture, feature engineering approach, and scoring methodology. Assess and prepare data for AI readiness: Evaluate data assets across VisaNet transaction data, client CRM and profile data, Visa Analytics Platform, and market intelligence sources. Identify data gaps, quality issues, and structural barriers. Define the preparation, enrichment, and structuring needed to make data consumable by AI models and agents. Build statistical and prediction models: Develop models for opportunity detection, root cause attribution, and opportunity sizing. Apply techniques spanning regression, classification, clustering, and machine learning to identify patterns across transaction data, client profiles, and market signals. Own the opportunity scoring framework: Design and maintain the scoring framework that ranks and surfaces actionable opportunities for business development teams. Define score calibration, refresh cadences, and output formats that business users can act on. Co-own data integration with VisaNet and enterprise data sources: Partner with Visa Technology, VCA, and Insights and Analytics teams to integrate VisaNet transaction data, Visa Analytics Platform data, and client CRM and profile data into the intelligence layer. Define data requirements, validate data quality, and ensure pipelines are reliable and scalable. Ensure model documentation, validation, and governance: Partner with Responsible AI, Legal, Risk, Privacy, and Compliance teams to ensure models meet governance, regulatory, and Visa standards. Maintain comprehensive model documentation, validation records, and performance monitoring. Communicate insights and recommendations to stakeholders: Translate analytical findings and model outputs into clear, actionable recommendations for business stakeholders. Present opportunity intelligence to Marketing Services, VCA, and regional teams in formats that drive commercial decision-making. No visa sponsorship or relocation assistance will be provided for this position 
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 8 or more years of work experience with a Bachelor’s degree, or at least 6 years of work experience with an Advanced Degree, such as a Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. Experience spanning both analytics and data science, including exploratory data analysis, business intelligence, statistical modeling, and building predictive models in a production environment. Experience assessing data readiness for AI initiatives, including evaluating data quality, identifying gaps, defining data preparation requirements, and structuring data for AI consumption. Proficiency in Python, R, SQL, or similar languages for data analysis and statistical modeling, including experience with libraries such as scikit-learn, pandas, etc. Experience working with large-scale structured and unstructured datasets across multiple data sources, including transaction data, CRM data, and market intelligence. Experience building scoring frameworks, recommendation systems, or opportunity detection models that translate data into ranked, actionable business outputs. Experience with data governance, metadata management, data cataloging, or building data readiness frameworks for AI programs. Strong ability to translate complex analytical findings into clear business recommendations and stakeholder communications. Preferred Qualifications 10 or more years of work experience with a Bachelor’s Degree, or at least 8 years of work experience with an Advanced Degree, such as a Master’s or PhD. Experience with LLM-based solutions, generative AI, or natural language processing techniques applied to business intelligence or recommendation systems. Familiarity with cloud data platforms and distributed computing frameworks. Experience with model governance, documentation, and validation frameworks. Familiarity with payments, banking, fintechs, or card products is a plus. Strong analytical, problem-solving, and strategic thinking skills, with the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units. Additional Information This role requires a leader who combines deep technical expertise with business acumen. The ideal candidate will have strong relationship-building skills, excellent written and verbal communication, personal presence, and the ability to clearly communicate complex analytical concepts and model outputs to both technical and business audiences. Experience navigating messy, fragmented data environments and building the structure that makes data AI-ready is essential. The candidate should be extremely organized, demonstrate quick follow-through, and bring a strong bias toward action. The role requires comfort working in fast-paced, matrixed environments and the ability to collaborate across regions and business units to execute strategy and drive measurable business outcomes. Acceptable Position Location Seeking a candidate who will be based in the Visa San Francisco Office in Mission Rock. This is a hybrid position. 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 the time based on business needs. Visa is not offering relocation assistance for this role. Information for US Applicants For roles located in the US, the estimated salary range for this position is $154,000.00 to $ 247,000.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

US - San Francisco, CA

$154,000.00 to $ 247,000.00 USD per year

Visa Technology and Operations

Senior Marketing Manager, Experiential Marketing, Sponsorships & Partnerships

CN - Shanghai, China

810 Visa Technology and Operations LLC

Sr. Manager, VIP Coverage Authorization Systems

US - Denver, CO

$163,300.00 to $ 261,600.00 USD per year

Visa Technology and Operations

Staff Software Engineer

About Us 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 Role Summary: Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60–75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams – product managers, designers, data scientists, QA, operations, and compliance – to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience in developing and/or implementing web-based or mobile applications. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross-functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Practical exposure to AI/ML or GenAI solutions, with the ability to assess use cases, integration approaches, limitations, risks, and production-readiness. Preferred Qualifications: 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience building high-volume, highly available, consumer- or client-facing platforms. Hands-on exposure to public cloud platforms and managed AI services. Experience prototyping or delivering RAG, semantic search, conversational AI, or agentic workflow solutions. Knowledge of model evaluation, hallucination mitigation, AI observability, token and infrastructure cost management, and privacy controls. Experience mentoring engineers and influencing technical direction across multiple teams. Technical Skills: Java: Advanced proficiency in core Java, concurrency, collections, JVM fundamentals, performance tuning, and modern language features. Backend Engineering: Strong experience with Spring Boot, Spring Framework, JPA/Hibernate, REST APIs, microservices, and distributed systems. Front-End Engineering: Good knowledge of modern web development using Angular or React, TypeScript, JavaScript, HTML5, CSS3, responsive design, component-based architecture, state management, accessibility, and secure integration with REST APIs. Database Engineering: Strong knowledge of relational databases, SQL, data modeling, schema design, indexing, query optimization, transactions, and performance tuning, with working experience in NoSQL databases, caching, and Java data-access frameworks such as JPA/Hibernate. Data and Messaging: Experience with relational databases, SQL, NoSQL technologies, caching, and messaging platforms such as Kafka or NATS. Cloud-Native Delivery: Hands-on experience with Docker, Kubernetes, Linux, infrastructure environments, and CI/CD tools such as Maven, Gradle, Jenkins, or equivalent platforms. Security: Knowledge of secure coding, OAuth 2.0, OIDC, API security, secrets management, vulnerability remediation, and enterprise security standards. Observability: Experience with application logging, metrics, tracing, alerting, and tools such as Splunk, Prometheus, Grafana, or OpenTelemetry. Testing: Strong experience with JUnit, Mockito, automated integration testing, code-quality tools, and test-driven development. AI/GenAI: Good understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, model APIs, AI agents, evaluation, and responsible-AI practices. AI Integration: Ability to integrate AI services through APIs or SDKs; familiarity with frameworks such as Spring AI, LangChain4j, LangChain, or equivalent is desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $133,300.00 to $ 213,400.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

US - Austin, TX

810 Visa Technology and Operations LLC

Sr. SW Engineer (Python, Product Reliability / DB Reliability Eng - 4-6 years' exp)

IN - Bengaluru, India

810 Visa Technology and Operations LLC

Director, AI Product Management - Global Marketing Services

About Us 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 About the Job 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 . Visa is searching for a Director, AI Product Management - Global Marketing Services to own the internal AI solutions and AI agent product portfolio for the Marketing Services organization. This role will identify, prioritize, and design AI-enabled opportunities that improve productivity, quality, speed, and scalability across Marketing Services. The ideal candidate is a seasoned product manager who understands how AI solutions are built, what data they require, and how to manage the iterative, experiment-driven nature of AI development. This role will be part of the AI Transformation team within the Global Marketing Services organization. The Director will work closely with business stakeholders to translate business needs into product requirements, manage the internal use-case prioritization backlog, and serve as the business product owner within Technology sprint and build cycles. The role requires a leader who can bridge the gap between business stakeholders and technical teams, translating complex AI possibilities into actionable product roadmaps that deliver measurable value. This leader will own the end-to-end internal AI product lifecycle, from opportunity identification and use-case prioritization through agent specification, MVP definition, build collaboration, and adoption measurement. The role demands comfort with ambiguity, strong stakeholder management skills, and the ability to drive alignment across business and technical teams on what to build, why, and in what order. Reporting to the Senior Director, AI Transformation, Global Marketing Services, this leader will work closely with Data Scientists, Data Engineers, Technology partners, and business stakeholders across Marketing Services to ensure AI solutions and agents are designed around validated business needs, built on reliable data foundations, deployed through the organization's agent platform, and delivered through disciplined product management practices. The Director will partner with peers on the Global Marketing Services AI Transformation team and across Marketing Services' regional teams, Finance, Technology, Legal, Privacy, Risk, and Compliance teams, and external vendors to ensure successful product design, development, deployment, measurement, governance, and adoption. Key Responsibilities Own the internal AI product roadmap and use-case backlog: Prioritize AI-enabled opportunities across Marketing Services using a clear framework based on business impact, feasibility, and data readiness. Keep the roadmap current as priorities, technology, and capacity evolve. Co-lead workflow reimagination and future-state process design: Create or leverage industry frameworks to guide business stakeholders with redesigning future-state AI-enabled workflows. Partner with business subject matter experts to identify where AI solutions and agents improve quality, or accelerate delivery, and translate those into scoped product opportunities with clear success criteria. Define agent specifications and MVP scope: Author detailed agent and AI solution specifications covering scope, target users, data needs, integration requirements, guardrails, and MVP definitions. Partner with Data Scientists and Data Engineers to validate data availability, quality, and pipeline requirements. Translate business needs into product requirements and user stories: Develop product requirements, user stories, and acceptance criteria for Technology teams. Manage backlog refinement and grooming. Bridge communication between business and technical teams to resolve ambiguity and maintain alignment. Serve as business product owner in Technology sprint and build cycles: Participate in sprint planning, backlog refinement, demos, and retrospectives. Make prioritization decisions, provide timely feedback, and accept or reject deliverables against acceptance criteria. Collaborate with Data Scientists and Data Engineers on data needs: Partner with Data Science and Data Engineering teams to ensure data requirements for AI solutions and agents are identified early, validated for availability and quality, and incorporated into build plans. Co-lead adoption measurement and continuous improvement: Define and track product success metrics including adoption rates, user satisfaction, productivity impact, quality improvements, and business value delivered. Support governance, compliance, and responsible AI alignment: Partner with Legal, Risk, Privacy, Compliance, and Technology teams to ensure AI solutions and agents meet responsible AI, governance, regulatory, and Visa standards. No visa sponsorship or relocation assistance will be provided for this position 
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 12 or more years of work experience with a Bachelor's degree, or at least 10 years of work experience with an Advanced Degree, such as a Master's, MBA, or a PhD. Experience in AI product management including owning a product backlog, writing requirements, and managing prioritization in an agile environment. Demonstrated mastery and hands-on experience with a range of AI tools and platforms, with the ability to use AI to drive innovation, streamline operations, and deliver measurable business impact. Experience defining and launching AI solutions, including AI agent specifications, intelligent automation, or AI-powered internal tools, from concept through production in partnership with Technology, Data Science and Data Engineering teams. Experience managing pilots and proof-of-concept programs, including soliciting user feedback, iterating on solutions, and scaling successful pilots into enterprise-wide solutions. Demonstrated success leading complex, cross-functional programs with measurable business impact in a global, matrixed organization. Strong ability to translate complex AI, data, and technology concepts into clear product requirements, executive-level recommendations, and stakeholder communications. Preferred Qualifications 15 or more years of work experience with a Bachelor's Degree, or at least 12 years of work experience with an Advanced Degree, such as a Master's, MBA, or a PhD. Familiarity with data architecture, data pipelines, feature stores, and the data foundations required to support AI and machine learning solutions. Experience with workflow analysis, process redesign, and translating operational inefficiencies into product-led solutions. Familiarity with payments, banking, fintechs, or card products is a plus. Strong analytical, problem-solving, and strategic thinking skills, with the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units. Additional Information This role requires a leader who combines strategic product thinking with hands-on execution. The ideal candidate will have strong relationship-building skills, excellent written and verbal communication, personal presence, and the ability to clearly communicate compelling product vision and priorities to both technical and business audiences. Experience with AI product development dynamics, including iterative development, shifting requirements, data dependencies, and the need to balance speed with responsible deployment, is essential. The candidate should be extremely organized, demonstrate quick follow-through, and bring a strong bias toward action. The role requires comfort working in fast-paced, matrixed environments and the ability to collaborate across regions and business units to execute strategy and drive measurable business outcome s. Acceptable Position Location Seeking a candidate who will be based in the Visa San Francisco Office in Mission Rock. This is a hybrid position. 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 the time based on business needs. Visa is not offering relocation assistance for this rol e. Information for US Applicants For roles located in the US, the estimated salary range for this position is $179,000.00 to $ 287,000.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

US - San Francisco, CA

$179,000.00 to $ 287,000.00 USD per year

Visa Technology and Operations

Senior Manager, Business Development & Commercialization – Issuer and Merchant Loyalty Solutions

HK - Hong Kong, China

810 Visa Technology and Operations LLC

Director, Major Incident Management

About Us 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. Visa will accept applications for this role until at least 11-20-2026 Job Description Visa is seeking an experienced and highly effective technology operations leader to serve as Director, Major Incident Management, with enterprise accountability for Visa’s global major incident response strategy, operating model and execution. This role is responsible for leading Visa's global Major Incident Management function, driving the rapid mitigation and resolution of critical technology incidents impacting Visa's products, services, infrastructure, and clients. The successful candidate will lead a globally dispersed team responsible for influencing cross-functional incident response across engineering, infrastructure, security, product, and operations organizations while maintaining executive-level visibility and stakeholder confidence during high-severity events. This leader will define and advance operational resilience, incident governance, automation, and AI-enabled operational capabilities within one of the world's most complex and highly available technology environments. Responsibilities include executive communications, incident command, operational readiness, post-incident review governance, and continuous improvement of incident response processes. Essential Functions Major Incident Leadership Own Visa's global Major Incident Management organization supporting a 24x7x365 technology environment. Lead enterprise-wide escalation, and management of business-critical technology incidents with significant client, operational, reputational and regulatory impact. Establish operational priorities and drive rapid service restoration during high-severity incidents. Serve as the senior accountable escalation point for complex and cross-functional production events. Ensure incident response activities maintain an appropriate balance between speed, risk management, and business impact mitigation. Executive Communications and Stakeholder Engagement Lead communication strategies during major incidents, ensuring timely, accurate, and concise updates for executive leadership, technology partners, and key stakeholders. Provide executive summaries, operational risk assessments, and incident status communications. Build trusted relationships across Product Development, Engineering, Infrastructure, Security, Operations, and Corporate Functions. Operational Excellence and Governance Define, implement, govern and continuously improve incident management standards, operating procedures, policies, and performance metrics. Establish and monitor key performance indicators supporting operational effectiveness and service resilience. Lead operational reviews, trend analysis, and improvement initiatives designed to reduce customer impact and operational risk. Drive operational discipline and accountability across incident response stakeholders. Post-Incident Review and Continuous Improvement Establish governance for root cause analysis and corrective action programs. Ensure lessons learned are translated into measurable operational improvements. Partner with engineering and operations leaders to address recurring issues and systemic weaknesses. Champion a culture of learning, accountability, and continuous improvement. Operational Resilience and Readiness Partner with crisis management, business continuity, cybersecurity, and operational resilience functions. Design and lead enterprise major incident simulations, readiness exercises, and operational reviews. Ensure organizational preparedness for large-scale technology disruptions and high-impact events. Automation and AI-Enabled Operations Drive the adoption of automation, advanced analytics, and AI-driven capabilities across incident management processes. Partner with engineering and automation teams to improve incident detection, triage, correlation, response, and communication workflows. Identify opportunities to reduce manual effort while improving operational speed, consistency, and quality. Drive the evolution toward predictive and proactive operational models. People Leadership Build, develop, and lead a diverse, high-performing global team. Foster a culture centered on operational excellence, collaboration, resilience, accountability, and innovation. Coach and mentor future leaders while supporting career development and succession planning. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least November 20, 2026. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications: 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 10+ years of relevant work experience with a Bachelor’s Degree, OR 13+ years of relevant work experience. 12+ years of experience in technology operations, infrastructure operations, site reliability engineering, incident management, service management, or related disciplines. 5+ years of people leadership experience managing high-performing technical teams. Proven experience leading the response and recovery of large-scale production incidents. Experience working in complex, mission-critical, global technology environments. Deep knowledge of Major Incident Management, IT Service Management (ITSM), Change Management, Problem Management, and Operational Governance. Experience supporting highly available distributed systems with stringent service availability requirements. Strong understanding of cloud platforms, observability solutions, monitoring technologies, and modern operational practices. Experience with SRE principles, operational resilience frameworks, AIOps, and automation technologies. Demonstrated success influencing senior executives and cross-functional technology leaders. Exceptional written, verbal, and executive communication skills. Experience operating in regulated or highly secure environments. Knowledge of AI, Generative AI, automation, or predictive operations capabilities is strongly preferred. What Success Looks Like In this role, you will: Improve service restoration speed and operational responsiveness. Reduce repeat incidents and customer-impacting disruptions. Increase automation and operational efficiency. Strengthen executive confidence during critical events. Enhance operational resilience across Visa's technology ecosystem. Build a world-class incident management organization recognized as a strategic partner to engineering and product teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $166,700.00 to $ 266,700.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

US - Denver, CO

$166,700.00 to $ 266,700.00 USD per year

810 Visa Technology and Operations LLC

Manager, AI Project Management - Global Marketing Services

About Us 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 About the Job 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 Visa is searching for a Manager, AI Project Management - Global Marketing Services to drive program management across the AI Transformation program. This role will manage four concurrent workstreams, Workflow Redesign, Agent Deployment, Data Foundations, and Change Management, ensuring the AI Transformation team delivers on its commitments on time and at scale. The ideal candidate is a seasoned program manager who understands how AI initiatives differ from traditional technology projects and can manage the iterative, experiment-driven nature of AI development. This role will be part of the AI Transformation team within the Global Marketing Services organization. The Manager will own the program's operating rhythm: tracking timelines, milestones, and dependencies across every workstream, maintaining the RAID log, driving status reporting, and leading cross-team coordination that keeps a complex, multi-workstream transformation program on schedule. As one key workstream, the role will oversee the build-out of the Marketing Services operational knowledge base, working alongside data experts to ensure content is inventoried, structured with consistent metadata tagging and taxonomy, and made AI-ready so it can be effectively leveraged by AI tools and workflows. The role requires a leader who can drive accountability across multiple concurrent workstreams, build structured processes from ambiguity, and maintain the operational discipline that enables a fast-moving transformation team to deliver consistently. It demands comfort with the unique requirements of AI projects, including experimentation cycles, data dependencies, and evolving requirements. Reporting to the Director, AI Product Management, Global Marketing Services, this leader will work closely with workstream leads, Visa Technology teams, subject matter experts across Marketing Services regional teams, and cross-functional partners across Finance, Legal, Privacy, Risk, and Compliance to ensure all AI Transformation initiatives are tracked, risks are surfaced, dependencies are managed, and delivery commitments are met. Key Responsibilities Run program management for AI Transformation: Own timeline, milestone, and dependency tracking across all AI Transformation workstreams. Maintain the master program plan, identify critical path items, and proactively flag scheduling conflicts or resource constraints. Drive the program's operating rhythm including standups and milestone reviews. Support the Senior Director on steering committee preparation and stakeholder management. Maintain RAID log and delivery-risk escalation: Own the program's RAID log. Ensure risks are identified early, mitigation plans are in place, and escalations reach the right stakeholders. Proactively flag AI-specific program risks including data readiness delays, cross-workstream dependencies, and adoption blockers. Deliver status reporting and cross-team coordination: Produce status reports, dashboards, and executive updates on program health, milestone progress, and delivery risks. Coordinate across workstreams to maintain alignment and resolve blockers. Manage the Knowledge Management workstream: Oversee the build-out of the Marketing Services operational knowledge base. Work closely with global and regional Marketing Services peers and data experts to drive inventorying and collection of operational content, ensure consistent metadata tagging and taxonomy are applied, and make the repository AI-ready. Coordinate with subject matter experts to source content, track gaps, and drive sign-off. Drive cross-workstream dependency management: Identify and manage interdependencies between workstreams, ensuring that upstream deliverables land on time to unblock downstream work. Facilitate trade-off decisions when competing priorities arise. Support governance, compliance, and responsible AI alignment: Partner with Legal, Risk, Privacy, Compliance, and Technology teams to ensure AI-enabled offerings and pilots meet responsible AI, governance, regulatory, and Visa standards. No visa sponsorship or relocation assistance will be provided for this position 
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 8 or more years of work experience with a Bachelor's degree, or at least 6 years of work experience with an Advanced Degree, such as a Master's, MBA, or a PhD. Experience in program management, project management, or management consulting, including managing complex programs with multiple concurrent workstreams, dependencies, and cross-functional stakeholders. Familiarity with AI projects and their unique requirements, including data readiness, experimentation cycles, and responsible AI considerations. Understanding of how LLM-based solutions are built, including familiarity with the generative AI technology stack, prompt engineering, and the data and infrastructure requirements that underpin AI agent development. Hands-on experience with AI productivity tools such as Claude, ChatGPT, and similar platforms, with the ability to apply them to streamline program management workflows. Experience with RAID management, milestone tracking, critical path analysis, status reporting, and delivery-risk escalation. Experience with program and project management tools (e.g., Wrike, Jira Align, MS Project, or similar). Experience with agile methodologies, specifically Scrum and Kanban. Demonstrated success driving complex, cross-functional programs with measurable business impact in a global, matrixed organization. Comfort working with content structuring concepts such as metadata tagging, taxonomy design, and preparing content for AI ingestion. Deep expertise is not required, but practical familiarity and the ability to partner effectively with data experts is essential. Strong ability to translate complex program status, AI project dynamics, and delivery risks into clear executive communications and stakeholder updates. Preferred Qualifications 10 or more years of work experience with a Bachelor's Degree, or at least 7 years of work experience with an Advanced Degree, such as a Master's, MBA, or a PhD. Demonstrated hands-on experience with a range of AI tools and platforms, with the ability to use AI to streamline operations and deliver measurable business impact. PMP, PgMP, or similar program management certification. Strong analytical, problem-solving, and strategic thinking skills, with the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units. Familiarity with payments, banking, fintechs, or card products is a plus. Additional Information This role requires a leader who combines strategic thinking with hands-on execution. The ideal candidate will have strong relationship-building skills, excellent written and verbal communication, personal presence, and the ability to clearly communicate compelling messages to senior-level executives. Familiarity with AI project dynamics, including iterative development, shifting requirements, data dependencies, and the need to balance speed with responsible deployment, is essential. The candidate should be extremely organized, demonstrate quick follow-through, and bring a strong bias toward action. The role requires comfort working in fast-paced, matrixed environments and the ability to collaborate across regions and business units to execute strategy and drive measurable business outcomes. Acceptable Position Location Seeking a candidate who will be based in the Visa San Francisco Office in Mission Rock. This is a hybrid position. 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 the time based on business needs. Visa is not offering relocation assistance for this role. Information for US Applicants For roles located in the US, the estimated salary range for this position is $136,000.00 to $ 217,000.00 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. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

US - San Francisco, CA