Senior Engineering Manager- AI/ML
AledadeSalary not specified
Full Time
Expert & Leadership (9+ years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries
Requirements
- Expertise in defining and executing AI/ML platform strategy and roadmap, aligned with global data, AI/ML, and business objectives
- Experience partnering with business and technology for migrating AI/ML workloads to the cloud
- Ability to monitor market trends, competitive dynamics, and client needs for platform evolution
- Leadership in cross-functional teams (product managers, engineers, data scientists) in matrixed organizations
- Direct management of product manager teams, fostering innovation, accountability, and operational excellence
- Ownership of product definition and delivery for AI/ML stack across cloud and on-premises environments
- Skills in driving conceptualization, prototyping, and launch of AI-powered solutions
- Capability to build business cases for new AI/ML capabilities and evolve platform features
- Experience partnering with business units, product leaders, engineering teams, public cloud providers (AWS SageMaker, Google Vertex AI, Microsoft Azure ML), and internal stakeholders
- Hands-on expertise in designing cloud-native architectures and enterprise-scale applications
- Ability to define detailed platform requirements, acceptance criteria, success metrics (SLAs, operational KPIs)
- Proficiency in leading backlog grooming and facilitating collaboration across product, engineering, and data science teams
- Knowledge of ensuring compliance, model risk management, and onboarding requirements
Responsibilities
- Define and execute the AI/ML platform NorthStar strategy and roadmap, ensuring alignment with Visa’s global data, AI/ML, and business objectives
- Partner with business and technology to develop a comprehensive plan for migrating AI/ML workloads to the cloud
- Monitor market trends, competitive dynamics, and client needs to guide platform evolution and long-term planning
- Advocate for exceptional customer experiences powered by advanced AI capabilities
- Lead cross-functional teams of product managers, engineers, and data scientists to translate customer needs into platform capabilities
- Directly manage a team of product managers, fostering a culture of innovation, accountability, and operational excellence
- Own the product definition and delivery of Visa’s AI/ML stack across both cloud and on-premises environments
- Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology
- Build business cases for new AI/ML capabilities and continuously evolve platform features to meet practitioner needs
- Partner with business units, product leaders, and engineering teams to ensure alignment and flawless execution
- Represent Visa in engagements with public cloud providers (AWS SageMaker, Google Vertex AI, Microsoft Azure ML) and internal stakeholders
- Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs)
- Apply hands-on expertise in designing cloud-native architectures and enterprise-scale applications on the cloud
- Lead backlog grooming and facilitate collaboration across product, engineering, and data science teams
- Ensure platform capabilities meet compliance, model risk management, and onboarding requirements
- Oversee development and delivery to ensure adherence to timelines
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this role remote or on-site?
This is an on-site position.
What are the essential functions of this role?
The role involves driving the strategy, design, development, and adoption of Visa’s AI/ML platforms, leading cross-functional teams, defining platform strategy and roadmap, partnering on cloud migrations, and owning product definition and delivery.
What leadership responsibilities does this position have?
You will lead cross-functional teams of product managers, engineers, and data scientists in a matrixed organization and directly manage a team of product managers, fostering a culture of innovation, accountability, and operational excellence.
What is the company culture like at Visa?
Visa emphasizes a purpose-driven culture focused on uplifting everyone everywhere through innovative payments technology, with a collaborative environment involving cross-functional teams and a commitment to innovation, accountability, and operational excellence.
What makes a strong candidate for this Director role?
Strong candidates will have experience leading AI/ML platform strategy, cross-functional teams in matrixed organizations, cloud migrations, and product management in scalable AI/ML environments, with the ability to drive innovation and align with business objectives.
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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