Senior Product Manager – Platform & Data Strategy

Role Overview

• Define the vision and roadmap for platform-level microservices — identifying which capabilities should be built as platform services from day one vs. evolved from module-specific implementations.
• Own the API contract strategy: define standards for versioning, backward compatibility, and breaking change governance across all services.
• Establish the principles and governance model for how existing module-level services get backported into shared platform services over time.
• Lead net-new platform service builds in partnership with architecture and engineering, from discovery through adoption.
• Champion developer experience — ensure internal engineering teams have the documentation, contracts, and tooling they need to build confidently against platform services.
• Partner with Analytics and Architecture to define and evolve the Snowflake lakehouse strategy — bringing product and commercial context to a technically-led initiative.
• Own the data product identification process: determine which enriched datasets are monetizable and valuable to FI, ERP, and other strategic partners.
• Define data governance requirements for regulated partner use cases, including data lineage, access controls, residency considerations, and consent frameworks.
• Work with commercial and partnerships teams to translate data product identification into viable partner offerings.
• Serve as the product voice in architecture’s platform performance and reliability workstream — ensuring prioritization reflects real business impact, not just technical preference.
• Build line of sight into end-of-month latency, load, and scalability gaps; push for honest diagnosis and meaningful remediation timelines.
• Define the product requirements for international expansion readiness — multi-geography, multi-currency, and increased volume support — targeting late 2026 / early 2027.

Requirements

• 5–8+ years of product management experience, with meaningful time in platform, infrastructure, or API-focused product roles.
• Deep enough technical fluency to engage credibly with architecture and engineering on microservices patterns, API design, and distributed systems tradeoffs — you don’t need to write code, but you need to understand the decisions.
• Demonstrated experience with data strategy in a product context — data pipelines, data warehousing, or data product development.
• Track record of influencing without authority across engineering, data, and business teams.
• Comfort operating in ambiguity — this role requires building structure where little exists today.
• Experience with Snowflake or comparable cloud data platforms in a product or strategy capacity.
• Familiarity with data monetization, data sharing, or partner data product models — particularly with FIs or ERP ecosystem partners.
• Experience with API governance, API versioning strategies, or developer platform products.
• Background in fintech, B2B SaaS, or collaborative commerce platforms nice to have.
• Exposure to regulatory and compliance considerations around data sharing (SOC 2, data residency, financial data regulations).

Tech Stack

• Cloud
• Distributed Systems
• ERP
• Microservices