Director of Data

Role overview

Lead the data function and make company data dependable for business decisions, customer-facing products, and AI systems. You’ll manage an existing team while staying close to the technical work, setting standards for the data platform, a unified client record, governed metrics, and data used to build and evaluate machine learning products.

Responsibilities

- Own the data platform across warehousing, ingestion, transformations, orchestration, semantic models, monitoring, vendors, and cost. - Build versioned, governed datasets for model training, evaluation, features, and retrieval; monitor lineage, labeling, leakage, drift, and retrieval quality. - Create a consistent client record across source systems, with identity matching, data provenance, and enforceable contracts. - Establish shared business metrics and quality standards, including automated reconciliation, freshness expectations, and clear ownership for fixes. - Work with security and legal partners on access, retention, deletion, cataloging, and data boundaries. - Lead the team’s roadmap, operating practices, on-call coverage, and development, contributing directly to technical work when needed.

Requirements

- At least 8 years in data engineering, analytics engineering, or data platforms, including leadership of a data function and direct management of senior engineers. - Hands-on experience building or rebuilding a cloud data stack, with advanced SQL and practical knowledge of warehouse design, modeling, transformation, orchestration, and observability. - Experience supporting production ML or LLM systems with versioned training, evaluation, and retrieval data, embeddings or vector search, and quality monitoring. - Experience building customer identity or master data systems across multiple sources, including matching rules and field-level provenance. - Experience delivering governed metrics for executive and finance use, with reconciliation, quality standards, and remediation ownership. - Knowledge of privacy and governance controls such as retention, deletion, lineage, and role-based access; familiarity with CCPA and CPRA.

Nice to have

- Experience as the first or primary data leader, or working with financial transactions or multi-entity data.

Benefits and work setup

- Full-time, remote within the United States, with standard Pacific Time weekday hours and occasional travel to Las Vegas. Flexibility is expected for security incidents and critical needs. - Base salary listed as $250,000–$275,000, with a performance bonus of up to 15%. - Benefits include flexible paid time off, medical, dental and vision coverage, employer HSA contributions, FSA options, mental health resources, a 401(k) match, and an annual wellness reimbursement.