Global Data Platforms Organization is focused on delivering differentiated data product offerings which provide tremendous value to our clients leveraging cutting-edge capabilities such as Artificial Intelligence (AI). At Visa, we are looking for a highly experienced and motivated Senior Director AI/ML Platform Product Management, to join our team. As a global leader in payments technology, Visa has been a pioneer in leveraging Artificial Intelligence (AI) technologies successfully in our products and services last few decades. In this role, you will be responsible for shaping and implementing and enhancing core AI/ML capabilities to power one of our key strategic pillars, Value added services portfolio of products.
If you are passionate about leading global initiatives, building state of the art AI/ML Platform capabilities and have a strong background in AI and Product Management, we would love to hear from you. Join us in shaping the next generation of AI products and platforms at Visa.
This role will be a key contributor to the Global strategic roadmap specifically around creating a state-of-the-art AI platform by working with cross functional teams such as regional product, sales, consulting, operations, technology, risk, analytics. This position may require occasional travel to client sites and Visa locations. this role will report to Sr. Director, Head of AIML Platform Product Management
As an experienced product leader, the person will work closely with Technology, Data Science, Cross-functional Products and Regional teams to prioritize, solution, develop and implement key platform features and ultimately power key flagship Visa products.
Essential Functions:
This position will be a key member of the AIML Platform Product leadership team responsible for AIaS (AI as services) portfolio, powered by AIML Platform including both traditional and GenAI.
Drive the development of AIML platform to support Value added services portfolios, aligning with the broader organizational strategies and goals.
Play an instrumental role in the A2A (Account to Account) portfolio of products by providing thought leadership in overall strategy, design, execution and launch of Model products
This role is accountable for end-to-end implementation of AIML stack in a multi-cloud environment, partnering closely with data science, technology and operations teams.
Partner with technology architects on cloud solutions that bring together Visa’s products, technologies, software, and ecosystem and provide best-in-class performance, availability and scalability.
Platform Strategy & Roadmap: Identify trends, competitive landscape, market and client needs to shape product roadmap and align strategic goals
Build and own platform roadmap, product positioning, market differentiation, value proposition and benefits in ways that resonate with key audiences, use-cases and markets
Establish product requirements: define comprehensive and precise products requirements for key features which meet client and markets needs and work in conjunction with other Visa products and solutions
Lead grooming sessions: Drive collaboration and in-depth understand on product and model requirements with cross-functional product, data science and technology teams
Define acceptance criteria for requirements, Participating and lead the AI design and technology discussions.
Define and monitor key platform success metrics, SLA’s and operational targets.
Lead non-technical and functional elements critical to product success, such as model risk management, model onboarding experience and oversee the technical development of the platform, ensuring that communicated timelines and quality standards are met.
Ideate, prototype, and collaborate with AIML teams in building the business case.
Collaborate with cross-functional teams to finalize requirements and establish a clear path to delivery for various use cases.
Adapt to changes in the rapidly evolving AI/ML landscape, influencing the development of platform capabilities accordingly.
Understand the needs of product partners and data scientists and translate them into an efficient, reliable platform for building, testing, and deploying AI and models.
Identify significant opportunities for building applications on AIML Platform, drive use case assessment, and support prioritization in alignment with broader organizational strategies and goals.
Lead with Vision, identifying new technologies for adoption and be the lead PM voice for interactions with public cloud providers, such as AWS and GCP, as well as internal Visa O & I team.
Partner with technology closely to execute on AI/ML capabilities and technologies that drive product delivery of high-profile core Visa AI products that form the strategic pillars of Visa.
Conceptualize, develop, and launch new products & experiences at the intersection of payments and technology in the AI space.
Liaise with other business units, product leaders, engineering, and other applicable groups to ensure flawless execution.
Develop and advocate a vision of outstanding customer experience powered by advanced AI technologies.
Influence others within and outside of job sub-function regarding practices, procedures, and policies.
Experience Building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems including AWS, GCP or Azure
Primary Responsibilities:
Requirements Gathering: Work closely with data scientists, engineers, and other stakeholders to understand their needs and translate them into product requirements.
Product Requirements: Develop product requirements based on the product partners’ needs. This includes working closely with the engineering team to ensure the product is built to specification and meets the needs of our users.
Team Leadership: Lead and manage a cross-functional team of product managers, designers, and engineers. Foster a culture of innovation, excellence, and accountability.
Stakeholder Communication: Regularly communicate with stakeholders across the organization, including senior leadership, to keep them informed of the initiative’s progress and to gather their input.
User Advocacy: Advocate for the needs of our users (data scientists) throughout the product development process. Ensure the final product meets their needs and enhances their ability to build, test, and deploy AI models.
Market Analysis: Stay up to date with the latest industry trends, advancements in AI/ML, and emerging technologies. Use this knowledge to keep our product competitive, drive innovation and new product development.
Product Vision and Strategy: Define the product vision and strategy for supporting partners’ portfolios and for developing applications for AIML Platform and define the roadmaps, ensuring they align with the AIML Platform’s and company's overall AI/ML strategies.
This position requires the incumbent to travel for work 5% of the time.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. 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.
Basic Qualifications:
• 15 or more years of relevant work experience with a bachelor’s degree or at
least 10 years of work experience with an advanced degree (e.g. Masters,
MBA, JD, MD) or 6 years of work experience with a PhD.
• Strong understanding of AI and Machine Learning concepts, with an
emphasis on AI models on batch and real-time environment.
• Strong experience in Data science, Deep learning models, Cloud computing
and experience with Big Data and broader AI/ML tools, platforms and
technologies
• Relevant experience with the AI/ML cloud stack and architecting large
enterprise systems.
• Proficiency with software development methodologies such as Agile and
experience working with Scrum teams and matrix organizations.
• Prior experience working within an agile product development environment.
• Advanced proficiency in the use of MS Office tools (Word, Excel, PowerPoint,
Project, and SharePoint).
Preferred Qualifications:
• 14 or more years of relevant work experience with a bachelor’s degree or at
least 12 years of work experience with an advanced degree (e.g. Masters,
MBA, JD, MD) or 7 years of work experience with a PhD.
• Modeling experience in card industry or financial service company using for
fraud, credit risk, payments is plus
• 7+ years of experience in developing and delivering Machine Learning and
Artificial Intelligence solutions at enterprise or organizational level to solve
customer or business problems.
• Experience in and/or significant exposure to the payments industry
specifically, within new applications, Fraud Risk, Identity Risk, or Artificial
Intelligence and Machine Learning, Data Science.
• 10 years of experience in product management, with demonstrated ability to
launch and manage new product releases being part of a matrix organization
in a highly technical and evolving AI/ML space.
• Strong business acumen and knowledge of machine learning or data
processing algorithms for risk and fraud applications.
• Experience in financial services and payments desired, but not required.
• Experience partnering with technologists using Agile or other expedited
design and development methodologies. Working knowledge of Agile tools
such as Confluence Wiki, Tableau, and JIRA is strongly preferred.
Strategic and Functional Excellence:
• Strong interpersonal, leadership, verbal, and written communication skills to
effectively partner, influence, and instill confidence with stakeholders across
all functional teams.
• Outstanding organizational, communication, and relationship-building skills
conducive to driving consensus and able to work in a cross-functional, matrix
management environment.
• Strong technical, analytical, troubleshooting, and problem-solving skills.
• Flexible and creative thinker with the ability to define business tradeoffs.
• Strong quantitative skills with a “data first” mindset. Ability to use data and
metrics to back up assumptions, recommendations, and drive actions.
• A proven track record of success in fast-paced environments with demanding
timelines is also required.
• Strong problem solver, with exposure to and knowledge of industry standard
AI and ML technologies with expertise to drive technology related and
architecture discussions.
• High degree of competence in working independently with limited oversight
from manager on undefined and unique problems and extreme sense of
ownership.
ADDITIONAL INFORMATION:
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, and reach with hands and arms.
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.
