Director of Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the data platform, encompassing the warehouse, ingestion, transformation, semantic layer, orchestration, observability, vendor management, and cost control.

• Develop governed data systems that support production ML and LLM products, including version-controlled training, evaluation, feature, and retrieval datasets, embeddings and vector indexes, along with controls for labeling, lineage, leakage, drift, and retrieval quality.

• Create a single authoritative client record across various source systems, incorporating identity resolution, field-level provenance, and enforceable data contracts.

• Establish a governed metrics layer and data quality program utilized by Leadership and Finance, which includes metric definitions, freshness standards, automated reconciliation processes, and domain ownership.

• Implement privacy and access controls in collaboration with Security and Legal, addressing retention, deletion, cataloging, lineage, and delineation between operating companies and partners.

• Guide the data team through a published roadmap, structured operating cadence, documented on-call procedures, talent development initiatives, and provide hands-on technical leadership.

• Report directly to the CTO and manage the data utilized by AI systems for training, evaluation, and retrieval purposes.

• Publish a comprehensive data roadmap within 60 days and assign ownership for each data initiative.

• Ensure AI assistants effectively respond to the top 20 leadership metric inquiries and that every AI product has a team-owned evaluation dataset.

• Verify that the client record encompasses every active client, maintaining core fields at a minimum of 95% completeness, with material fields having documented provenance.

• Ensure that executive KPIs and Finance statements rely on governed metrics, conduct weekly reconciliation, promptly detect critical failures within one hour, and resolve them within one business day.

• Automate retention and deletion processes, fulfill deletion requests within 45 days while maintaining an audit trail, and review warehouse access on a quarterly basis.

• Establish growth plans, on-call coverage, and levels for every data engineer; eliminate critical single-person dependencies in pipelines; and report platform expenditure and unit costs monthly.

⛳️ Requirements

• Over 8 years of experience in data engineering, analytics engineering, or data platform roles.

• Proven experience in leading a data function and directly managing senior engineers.

• Hands-on experience in constructing or reconstructing a modern cloud data stack.

• Advanced proficiency in SQL.

• Practical experience with warehouse architecture, data modeling, transformation, orchestration, and observability.

• Experience in managing data systems utilized by production ML or LLM products.

• Familiarity with version-controlled training, evaluation, and retrieval datasets, embeddings and vector search, labeling, leakage prevention, drift monitoring, and evaluation of retrieval quality.

• Ability to articulate how data quality decisions have impacted model performance in production settings.

• Experience in developing a customer master or identity resolution model across multiple source systems.

• Knowledge in matching logic, survivorship rules, and field-level provenance.

• Experience in delivering governed business metrics utilized by executives and Finance teams.

• Experience with automated reconciliation processes, published data quality standards, and clear ownership of remediation.

• Ability to explain data trade-offs in clear, accessible language.

• Experience in implementing data governance and privacy controls, including retention, deletion, lineage, and role-based access management.

• Familiarity with CCPA and CPRA regulations.

• Availability during Standard Pacific Time business hours, Monday through Friday.

• Flexibility to respond to security incidents and critical business requirements.

• Must have authorization to work in the U.S. without sponsorship.

• Previous experience as a company's first or primary data leader is preferred.

• Experience in financial transaction or multi-entity data is preferred.

🏝️ Benefits

• Flexible Unlimited Paid Time Off and Company-wide Holidays.

• Employer-sponsored Medical, Dental, & Vision plans.

• Annual Employer contribution of $1,950 to HSA.

• FSA options available, including dependent care.

• Employee assistance program and mental health resources.

• Employer matching program for 401(k), available for both Traditional and Roth accounts.

• Annual wellness reimbursement of $1,200 through JOON, supporting health, family care, pet care, fitness, and more!

• Access to a state-of-the-art gym at HQ in Las Vegas for local or visiting team members.

• Performance bonus of up to 15% based on performance.