As a
Senior Manager, Product Management
, you will own the strategy, roadmap, and execution for Visa s Identity Graph. You will drive cross-functional alignment, guide global teams, and influence executive stakeholders to deliver scalable solutions that directly impact Visa s growth, client trust, and competitive advantage. You will be responsible for translating Visa s data assets into high-value, market-leading identity products while ensuring regulatory alignment, operational excellence, and commercial success.
This role goes beyond product execution it requires
thought leadership in identity and fraud
, strong stakeholder influence across all levels of the organization, and the ability to represent Visa in external forums to shape industry standards. You will also play a critical role in defining the business case, revenue impact, and go-to-market strategy, ensuring Identity Graph becomes a foundational capability across Visa s ecosystem.
Responsibilities
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Lead and Inspire Teams
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Manage and mentor a team of data engineers and product contributors to drive exploration of internal and external data for Visa s Identity Graph.
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Foster a culture of innovation, accountability, and continuous learning across global teams.
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Drive Product Strategy Data Exploration
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Define and execute data exploration strategies that inform and shape long-term product requirements.
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Translate analytical insights into actionable strategies to maximize Identity Graph s value across multiple fraud, risk, and identity use cases.
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Establish and monitor a comprehensive set of product health and success metrics to guide decision-making.
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Analytical Strategic Thinking
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Lead advanced simulations and modeling to quantify the impact of Identity Graph on ecosystem-wide outcomes (e.g., fraud reduction, authorization improvements).
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Influence key product and business decisions through data-driven analyses and forecasting.
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Stakeholder Management Collaboration
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Partner with stakeholders across geographies, Visa product teams, and functions (engineering, design, legal, compliance, sales) to define requirements, prioritize features, and align on delivery.
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Act as a key decision-maker balancing technical feasibility, regulatory requirements, and business impact.
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Technology Development Integration
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Oversee and coordinate development, integration, and scaling of technology solutions with Visa s internal engineering teams and external vendors.
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Ensure that product delivery meets performance, scalability, and compliance standards.
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Business Growth Market Engagement
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Provide subject matter expertise to support internal stakeholders, clients, and partner sales efforts.
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Collaborate with fellow senior product managers to build compelling business cases and revenue forecasts.
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Stay ahead of the industry landscape, competitor offerings, and regulatory frameworks to guide product differentiation and compliance.
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Industry Leadership
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Represent Visa in relevant industry forums, standards groups, and regulatory discussions, shaping best practices in identity and fraud management.
- 8 or more years of relevant work experience with a Bachelors Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
- Leadership: Proven leadership experience in managing and mentoring a team of product managers and product analysts, fostering a collaborative and high- performance work environment, with the ability to align team goals with organizational objectives.
- Agile Methodology: Strong understanding and implementation of Agile frameworks like Scrum or Kanban, experience managing software development projects using Agile methodologies.
- Experience with Graph databases and graph algorithms.
- Coding and Technical Skills: Proficient in writing, testing, and maintaining high- quality code.
- Data Science and API Development: Understand data preprocessing, feature engineering, and handling large-scale datasets. Know the basics of real-time AI applications and designing RESTful APIs.
- AI Compliance & Guardrails: Understand AI compliance frameworks and best practices for ethical AI usage. Be familiar with implementing guardrails to ensure responsible AI deployment.
- Project Management: Experience leading complex projects from inception to completion, with demonstrated ability to drive innovation and continuous improvement across projects with a development team, experience managing multiple projects and priorities in a fast-paced, dynamic environment.
- Communications Skills: Excellent verbal and written communications skills.
- Innovation: A passion for innovation and a commitment to staying up to date with the latest advancements in Generative AI.
- Critical Thinking: Exceptional analytical and problem-solving skills, with a knack for making data-driven decisions.
- 5 or more years of work experience as a people leader managing product teams.
- Hands-on experience in programming languages and software development, deployment, release management, testing, automation.
