Data Collaboration Lead

What you'll do

• Own the data collaboration platform: responsible for stability, scalability, security posture, and long-term evolution across cloud architectures
• Evolve the architecture beyond its current foundation: build on cleanroom-based implementation and design equivalent capabilities across additional cloud and data platforms (e.g., AWS and Databricks) while preserving zero-copy, security, and enterprise trust guarantees
• Set and drive the roadmap: define, prioritize, and execute a roadmap balancing client demand, technical feasibility, platform reuse, and long-term strategic value
• Build the support and operating model: create scalable support structure including documentation, patterns, tooling, escalation paths, and operational readiness
• Stay hands-on where it matters: design and implement secure data collaboration workflows including cleanroom-style patterns, access controls, and policy-driven computation
• Partner on go-to-market strategy: work with product, sales, and client-facing teams to position data collaboration offerings, shape messaging, support complex deals, and ensure platform is sellable and deliverable
• Raise the internal bar: build deep institutional knowledge around data collaboration, run enablement sessions, publish internal playbooks, and serve as go-to expert across engineering, product, and GTM teams
• Measure what matters: define success metrics (adoption, client outcomes, reliability, revenue impact) and use them to guide investment, iteration, and deprecation decisions

Requirements

• Leadership experience owning a data platform, product, or technical domain end to end
• Hands-on experience in Python, SQL, and Java or Ruby
• Hands-on experience with secure data sharing or collaboration patterns (e.g., cleanrooms, zero-copy architectures, policy-based access, governed computation)
• Strong background in modern data platforms and cloud ecosystems (Snowflake, AWS, Databricks, or similar)
• Ability to design and reason about secure, scalable architectures that meet enterprise and regulatory requirements
• Experience balancing technical depth with business ownership, including roadmap planning and GTM collaboration
• Comfort engaging directly with large enterprise clients on architecture, security, and value proposition
• A track record of building platforms that move from “working” to “scalable and repeatable”

Tech stack

Benefits