Product Manager, Associate - Payments - Associate
On-sitePalo Alto, California, United States
Job Summary
Define product vision, strategy, and roadmap for the Internal Reporting channel within Merchant Services, partnering with engineering, design, and AI/ML teams to transform complex datasets into intuitive analytics experiences. Establish governance for the reporting content lifecycle, curate certified reports and dashboards, and enable scalable self-service analytics through reusable semantic layers. Build and audit core business metrics using advanced SQL and Python to validate requirements, while designing Tableau dashboards for executive audiences. Prioritize use cases ranging from legacy platform decommissioning to conversational AI capabilities, ensuring strong identity controls and risk governance across all deliverables. Success is measured through adoption of trusted reporting, improved self-service capabilities, and measurable business outcomes within a regulated financial services environment.
Required Qualifications
- Bachelor's degree in Product Management, Data Science, Business Analytics, Economics, Computer Science, or related discipline with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience
- Experience in Product Management, data analytics, reporting, and/or data platforms, with the ability to connect product strategy to hands-on analytical thinking
- Domain experience in payments, merchant acquiring, risk, financial services, or technology-enabled services
- Proven ability to define product strategy, manage roadmaps, prioritize opportunities, develop requirements, and guide products through discovery, development, launch, adoption, and continuous improvement
- Experience building or scaling enterprise reporting and analytics products with both curated and self-service capabilities
- Mastery of advanced SQL (complex joins, CTEs, window functions) and proficiency in Python (manipulation, parsing, automation, statistical exploration) to independently validate complex datasets
- Experience maintaining semantic layers, certified datasets, and refiner tables to drive consistent definitions across BI and AI applications
- Proven experience building or shaping production-grade Tableau dashboards and scalable self-service reporting experiences, including trend/cohort analysis or predictive metric tracking to inform strategy
- Experience working with REST APIs and JSON, including practical understanding of API integrations and error-handling patterns
- Strong working experience with modern cloud data warehouses and analytics platforms (including Snowflake) and familiarity with AI - Snowflake Cortex
- Experience with LLM powered summarizations of large data sets and ML based detection of duplicates
- Experience defining product/service metrics and measuring success through business outcomes, adoption signals, quality measures, reliability/performance indicators, and telemetry
- Experience operating in regulated environments with risk, control, privacy, governance, audit requirements, plus strong understanding of metadata/lineage, performance optimization, SDLC practices, and governing entitlements (RBAC/ABAC) and conversational AI/NLP experiences
- Excellent written and verbal communication skills
- Ability to up-level conversations, summarize information, build quality presentations and present to execs like biz unit heads and heads of large teams
- Must be able to provide executive-ready outcome narratives & decision-ready materials
Desired Qualifications
- Demonstrated experience working within a highly matrixed and complex enterprise organization
- Experience partnering with AI/ML teams to integrate model outputs, predictive signals, conversational AI, or decisioning capabilities into reporting and analytics products
- Familiarity with Tableau, Power BI, Cognos, or comparable enterprise BI and reporting environments
- Ability to define SLIs and SLOs and establish telemetry for adoption, data quality, reliability, and performance
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