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Lead Product Management AI/ML

Company Description

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

Company Description
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
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 Director – AI/ML Platform, 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 in the last few decades. In this role, you will be responsible for shaping, 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 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, and analytics. This position may require occasional travel to client sites and Visa locations. 
As an experienced product leader, the person will work closely with Technology, Data Science, cross-functional products, and regional teams to prioritize, solve, develop, and implement key platform features and power key flagship Visa products. This will report to Sr. Director, AIML Platform Product Management.
Essential Functions 
•    This position will be a key member of the AIML Platform Product team responsible for AIaS (AI as services) portfolio, powered by AI/ML Platform including both traditional and GenAI capabilities. 
•    Drive the development of AI/ML 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 overall strategy, design, execution and launch of model products. 
•    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 product requirements for key features which meet client and market needs and work in conjunction with other Visa products and solutions. 
•    Lead grooming sessions: Drive collaboration and in-depth understanding on product and model requirements with cross-functional product, data science and technology teams. 
•    Define acceptance criteria for requirements, participating and leading the AI design and technology discussions. 
•    Define and monitor key platform success metrics, service level agreements 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 AI/ML 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 AI/ML platform, drive use case assessment, and support prioritization in alignment with broader organizational strategies and goals. 
•    Responsible for managing medium and large-sized projects or processes and providing guidance to other employees in the job area. 
•    Partner closely with technology to execute AI/ML capabilities and technologies that drive product delivery of high-profile Visa AI products. 
•    Conceptualize, develop, and launch new products and 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.  
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. 
•    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 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. 
 

Qualifications

Qualifications
Basic Qualifications:

• 15 or more years of work experience with a Bachelor’s degree or at least 13 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 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.
• Data science, Deep learning models and experience with Big Data and broader
AI/ML tools, platforms and technologies
• 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
15 or more years of work experience with a Bachelor’s Degree or 13 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• Modeling experience in card industry or financial service company using for
fraud, credit risk, payments is plus
• 4+ 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.
• 6 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 Planning and execution tool such as Confluence Wiki and JIRA, JIRA Align 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 are 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.
Additional Information
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.

Additional Information

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.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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What You Should Know About Lead Product Management AI/ML, Visa

Are you ready to take your career to the next level and join one of the world’s leading financial technology firms? Visa is on the hunt for an enthusiastic and visionary Lead Product Manager specializing in AI and Machine Learning to help shape the future of our innovative offerings in Bangalore, India. In this dynamic role, you will be at the forefront of delivering cutting-edge AI capabilities that will enhance our Value Added Services portfolio. You’ll collaborate with cross-functional teams—ranging from data science to technology, from product design to sales—ensuring that you understand the pulse of market needs and the competitive landscape. Your expertise will drive the development of our AI as a Service (AIaS) portfolio, where you will translate complex requirements into actionable product features. This is not just about building technology; it’s about creating exceptional experiences for our clients and users. If guiding teams through the fast-paced world of AI and ML excites you, and you possess a strong background in product management within high-tech environments, then Visa is the place for you. Let’s innovate together and redefine the payments landscape while doing what you love in a collaborative environment. Join us at Visa and make a real impact every day!

Frequently Asked Questions (FAQs) for Lead Product Management AI/ML Role at Visa
What are the key responsibilities of the Lead Product Management AI/ML role at Visa?

The Lead Product Management AI/ML position at Visa encompasses a variety of key responsibilities including shaping the AI/ML platform, developing comprehensive product requirements, and collaborating with cross-functional teams to deliver solutions. This role also involves roadmap planning, defining success metrics, and driving the development of AI capabilities within Visa’s Value Added Services portfolio.

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What qualifications are required for the Lead Product Management AI/ML position at Visa?

To qualify for the Lead Product Management AI/ML role at Visa, candidates should possess at least 15 years of work experience, including strong expertise in AI and Machine Learning concepts. An educational background could include a Bachelor's degree or a advanced degrees such as a Masters or Ph.D. Additionally, proficiency in Agile methodologies and experience in product management are pivotal for success.

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How does the Lead Product Management AI/ML position at Visa integrate with other teams?

In the Lead Product Management AI/ML role at Visa, integration with other teams is crucial for success. You will collaborate extensively with data scientists, engineers, stakeholders, and other cross-functional teams to understand needs, define product requirements, and ensure the ongoing alignment between product vision and organizational goals. This collaboration will facilitate the development of integrated and innovative AI/ML solutions.

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What does a typical workweek look like for a Lead Product Manager AI/ML at Visa?

A typical workweek for a Lead Product Manager AI/ML at Visa may include meetings with cross-functional teams to discuss project progress, strategy sessions to analyze market trends, requirement gathering with data scientists, and leadership communications to keep stakeholders informed. Regular collaborative workshops may also be held to drive product ideation and enhance user experience across AI applications.

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What opportunities for professional growth does Visa offer to a Lead Product Manager AI/ML?

Visa provides a wealth of opportunities for professional growth to its Lead Product Manager AI/ML. This includes access to industry-leading training programs, opportunities for mentorship from senior leaders, and involvement in high-impact projects that shape the financial technology landscape. The collaborative and innovative culture at Visa encourages continuous learning and development, ensuring staff can expand their expertise in AI/ML.

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Common Interview Questions for Lead Product Management AI/ML
Can you describe your experience with AI/ML products in a financial services context?

When answering this question, ensure to highlight specific AI/ML product experiences you've managed. Discuss the types of projects you led, technologies employed, and how your contributions led to tangible results within a financial services setting. Emphasize your ability to navigate challenges related to AI deployment in this industry.

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What strategies do you use to prioritize product features in a fast-paced environment?

It’s essential to explain your prioritization framework, such as using data-driven insights, stakeholder feedback, or customer needs. Discuss how you balance immediate business requirements with long-term strategic goals while ensuring clarity in communication with cross-functional teams.

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How do you manage cross-functional teams to ensure alignment in product development?

Share specific techniques you utilize such as regular stand-up meetings, collaborative tools for documentation, and clear communication protocols. Highlight how you encourage feedback from diverse teams which contributes to a more robust product outcome.

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What role does data play in informing your product decisions?

Discuss the importance of leveraging data insights to guide product decisions. You can mention how you have used user analytics, market research, or internal KPIs to craft product strategies, understand customer behavior, and measure success.

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How do you approach risk management in AI/ML product development?

Your answer should reflect a structured approach to risk management, mentioning aspects like continuous assessment of AI/ML model performance, compliance with regulatory standards, and collaborating closely with legal and risk management teams to establish a robust framework.

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Describe a challenging project you led and how you ensured its success.

Be ready to provide a concrete example of a challenging project, detailing the context, the problem faced, your proposed solution and the ultimate outcome. Showcase your leadership and problem-solving skills throughout the project lifecycle.

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What methods do you use to ensure user needs are met in your product development?

Explain your process for gathering user feedback, which could include surveys, interviews, and usability testing. Illustrate how you incorporate this feedback into the product development lifecycle to ensure your offerings truly meet user expectations.

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What current trends in AI/ML do you believe will impact the financial technology sector?

Share your understanding of key trends such as the rise of ethical AI, data privacy issues, and the importance of real-time analytics. Discuss how these trends can influence product management practices and decision-making in the financial services space.

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How do you handle conflicting priorities among stakeholders?

Discuss your approach to conflict resolution, emphasizing empathy and active listening skills. Share a strategy for aligning priorities through stakeholder engagement, such as facilitating discussions to find common ground.

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What is your vision for the role of AI in payments technology?

While answering this question, provide a forward-thinking vision that connects AI to tangible solutions in payments technology, such as enhanced customer experience, improved fraud detection, or automated decision-making processes that streamline operations.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
December 10, 2024

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