Senior Technical Product Manager I (Data Platform)

Zip Co is a global 'Buy Now, Pay Later' company, and they are seeking a Senior Technical Product Manager I for their Data Platform. This role focuses on owning the strategy, roadmap, and execution of Zip's foundational data platform, ensuring it supports reliable, compliant, and AI-ready data infrastructure for analytics and production AI capabilities across the company.

Responsibilities:

• Define and execute the multi-year vision and roadmap for Zip’s enterprise Data Platform
• Own foundational capabilities, including ingestion, storage, transformation (ETL/ELT), orchestration, metadata management, and access control
• Ensure alignment with company-wide analytics, AI, and regulatory priorities
• Balance speed, reliability, scalability, compliance, and cost in roadmap decisions
• Establish and enforce enterprise data governance frameworks
• Implement and maintain SOX-compliant controls across critical datasets and reporting workflows
• Define and operationalize data contracts between producers and consumers
• Ensure lineage tracking, auditability, and regulatory reporting integrity
• Partner with Risk and Compliance to align with data privacy and regulatory requirements (e.g., SOX, KYC, AML, GDPR where applicable)
• Define data quality standards, SLAs, freshness requirements, and certification processes
• Establish measurable platform health metrics (uptime, quality scores, adoption, cost efficiency)
• Drive proactive monitoring and observability for pipelines and datasets
• Reduce friction for AI and analytics teams by improving data discoverability and trust
• Ensure the data platform supports production-grade AI/ML workloads
• Enable reusable, well-governed data foundations for feature engineering and experimentation
• Partner with ML Engineering to ensure model-ready, high-quality datasets
• Transition the organization from AI experimentation to scalable, production-ready AI capabilities
• Enable self-service analytics capabilities while maintaining governance guardrails
• Improve discoverability and usability of certified datasets
• Drive adoption of standardized, governed data assets across teams
• Partner with engineering to optimize warehouse, compute, and storage costs
• Drive architectural decisions that scale efficiently as data volume and AI usage grow
• Continuously evaluate tradeoffs between performance, reliability, and cost

Requirements:

• 7+ years in Product Management focused on data platforms or analytics infrastructure, leading scalable, compliant, AI-ready data ecosystems in regulated environments
• Strategic technical leader driving end-to-end data platform initiatives that enable trusted analytics, production AI, and long-term scale
• 7–10+ years in Product Management or equivalent experience, with a focus on data platforms, data engineering, or analytics infrastructure
• Strong understanding of modern data architectures (lakehouse, warehouse, ELT/ETL, streaming/event-driven systems)
• Experience defining and managing data contracts, governance frameworks, and quality standards
• Experience operating in regulated environments (SOX compliance strongly preferred; fintech or financial services experience a plus)
• Deep familiarity with data platforms such as Snowflake, BigQuery, Redshift, Kafka/Kinesis, or similar ecosystems
• Strong ability to translate complex technical capabilities into measurable business impact
• Demonstrated experience driving cross-functional alignment across engineering, compliance, and business teams
• Comfortable making principled tradeoffs between speed, reliability, compliance, and cost
• Experience enabling AI/ML workloads through reusable, governed data infrastructure
• Systems thinker who understands interconnected platform tradeoffs
• Strong technical fluency with data engineering patterns and architecture decisions
• Proven ability to drive clarity in ambiguous, evolving environments
• Experience optimizing infrastructure cost and operational efficiency at scale
• Ability to influence without authority and lead through alignment