Zip Co Limited logo
Zip Co Limited

Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products. Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

Senior Technical Product Manager I (Data Platform)

Technical Product ManagerTechnical Product ManagerOtherRemoteTeam 1,001-5,000

Location

United States

Posted

89 days ago

Salary

0

Job Description

Senior Technical Product Manager I (Data Platform)

Zip Co Limited

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Technical Product Manager (Data Platform) owns the strategy, roadmap, and execution of Zip’s foundational data platform. This is a platform-focused role, not a business use-case PM position. You will be responsible for building and scaling reliable, compliant, and AI-ready data infrastructure that powers analytics, risk modeling, fraud detection, regulatory reporting, and production AI capabilities across the company. This role ensures our data assets are trusted, governed, scalable, cost-efficient, and accessible through self-serve capabilities—while meeting the regulatory standards required in fintech. You will partner closely with: - Data Engineering - ML Engineering - Agentic AI - Enterprise Architecture - Risk - Compliance - Product teams Interesting problems you’ll get to solve: - Data Platform Strategy & Roadmap: - 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. - Data Governance, Controls & Compliance: - 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). - Reliability, Quality & Platform Health: - 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. - AI & Advanced Analytics Enablement: - 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. - Self-Service & Adoption: - 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. - Cost Optimization & Scalability: - 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. Qualifications - 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. Requirements - 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. Benefits - Flexible working culture. - Incentive programs. - Unlimited PTO. - Generous paid parental leave. - Leading family support policies. - Company-sponsored 401k match. - Learning and wellness subscription stipend. - Beautiful Union Square office with a casual dress code. - Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available.

Job Requirements

  • 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.

Benefits

  • Flexible working culture.
  • Incentive programs.
  • Unlimited PTO.
  • Generous paid parental leave.
  • Leading family support policies.
  • Company-sponsored 401k match.
  • Learning and wellness subscription stipend.
  • Beautiful Union Square office with a casual dress code.
  • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available.

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