Manager Jobs

About The Position

Requirements

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
• Experience working directly with merchants or merchant data products
• Demonstrated success in building and launching new data or AI-powered products
• 5+ years of product management experience, preferably with data-driven, fintech, or payments products
• Technical background (e.g., experience with data engineering, analytics, or AI/ML technologies)
• Strong understanding of data product management, including insights generation, recommendations engines, and data visualization
• Familiarity with modern data platforms, analytics tools (e.g., Tableau, Looker, SQL), and AI/ML frameworks
• Knowledge of data governance, privacy, and responsible AI practices
• Excellent communication and stakeholder management skills
• Proven ability to lead cross-functional teams and deliver products from concept to launch
• Experience in Agile environments and tools such as JIRA

Nice To Haves

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

Responsibilities

• Own product strategy, roadmap, and execution for external, client‑facing commercial data and AI products, aligning customer needs, market opportunities, and Visa’s business objectives
• Lead the full product lifecycle—from concept and pilot through commercial launch, client adoption, and ongoing optimization
• Drive the definition and delivery of AI‑enabled features, partnering closely with data science and engineering teams to translate models into production‑ready product capabilities
• Engage directly with clients and partners to capture requirements, validate use cases, and influence product direction and adoption
• Support go‑to‑market execution, including pricing, positioning, and product messaging for commercial data and AI‑powered solutions
• Define and track product success metrics (e.g., adoption, revenue impact, client outcomes), using data to guide prioritization and tradeoffs
• Ensure compliance with data governance, privacy, and responsible AI standards
• Communicate product vision, strategy, and outcomes with clarity and executive presence to senior leaders, clients, and cross‑functional stakeholders
• Foster a culture of experimentation, learning, and continuous improvement

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program