Head of Delivery Operations focusing on scaling delivery within Data-as-a-Service at Snorkel AI. Leading operational excellence and cross-functional collaboration in fast-scaling environments.
Responsibilities
Lead and scale the Data Operations function, building a high-performance team with clear career paths, accountability, and a strong culture of operational excellence.
Design and operationalize end-to-end operating models for expert contributor, onboarding, performance management, and quality assurance; ensuring consistency, compliance, and scalability as the business grows.
Establish SOPs, including pipeline health monitoring, project execution tracking, and KPI-driven reporting to enable predictable, on-time delivery.
Own operational enablement and documentation, creating playbooks, and internal tooling that reduce execution friction and accelerate onboarding across delivery teams.
Oversee planning and execution of complex data programs (labeling, annotation, curation), balancing cost, quality, and timelines across multiple customers and delivery motions.
Partner cross-functionally with Delivery, Supply, Engineering, Product, and GTM leadership to align execution with commercial priorities and continuously improve the DaaS operating model at scale.
Requirements
8+ years of experience in Delivery Operations, Data Operations, Program Management, or equivalent roles, ideally within high-growth B2B SaaS, DaaS, or services-led technology organizations with 3+ years managing people or teams.
Demonstrated success building operational rigor in unstructured, fast-scaling environments, including designing SOPs, operating models, and execution frameworks from first principles.
Proven people leadership experience, including building and managing high-performing teams, developing managers, and overseeing large contractor or distributed workforces.
Strong vendor and partner management expertise, with a track record of scaling external suppliers while maintaining quality, cost efficiency, and delivery SLAs.
Operational and analytical excellence, with hands-on experience defining KPIs, building pipeline and capacity visibility, and driving continuous process improvement through data.
Exceptional cross-functional leadership and communication skills, with the ability to influence Delivery, Engineering, Product, Supply, and GTM stakeholders at senior levels.
Comfort operating in ambiguity and zero-to-one contexts, with the ability to move quickly, make high-quality decisions, and iterate toward scalable systems.
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