Director of Data

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $250k - $275k / year

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acquisition.com

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Acquisition. com is a company focused on helping businesses scale from $0 to $100 million through personalized scaling roadmaps, workshops, and courses. It was founded by Alex and Leila Hormozi and has successfully grown its portfolio to over $500 million in enterprise value within four years. The firm provides various free resources like videos, eBooks, guides, templates, and downloadable content designed to aid businesses in their growth journey. Acquisition. com also offers workshops featuring keynote speakers and breakout sessions aimed at solving business-related constraints. The company's mission is to make genuine business education accessible to everyone, thereby improving the lives of all its stakeholders.

📋 Description

• Own the data platform end to end, including the warehouse, ingestion, transformation, semantic layer, orchestration, observability, vendors, and cost • Build governed data systems behind production ML and LLM products, including versioned training, evaluation, feature, and retrieval datasets, embeddings and vector indexes, and controls for labeling, lineage, leakage, drift, and retrieval quality • Establish one authoritative client record across source systems with identity resolution, field-level provenance, and enforceable data contracts • Create the governed metrics layer and data quality program used by Leadership and Finance, including metric definitions, freshness standards, automated reconciliation, and domain ownership • Enforce privacy and access controls with Security and Legal, including retention, deletion, cataloging, lineage, and boundaries between operating companies and partners • Lead the data team through a published roadmap, operating cadence, documented on-call, talent development, and hands-on technical leadership • Report to the CTO and own the data used by AI systems to train, evaluate, and retrieve from • Publish a data roadmap within 60 days and assign an owner to every data initiative • Ensure AI assistants answer the top 20 leadership metric questions and every AI product has a team-owned evaluation set • Ensure the client record covers every active client, core fields are at least 95% complete, and material fields have provenance • Ensure executive KPIs and Finance statements use governed metrics, weekly reconciliation runs, critical failures are detected within one hour, and resolved within one business day • Automate retention and deletion, complete deletion requests within 45 days with an audit record, and review warehouse access quarterly • Establish levels, growth plans, and on-call coverage for every data engineer; eliminate critical single-person pipeline dependencies; report platform spend and unit cost monthly

🎯 Requirements

• 8+ years of data engineering, analytics engineering, or data platform experience • Experience leading a data function and directly managing senior engineers • Hands-on experience building or rebuilding a modern cloud data stack • Advanced SQL skills • Practical experience with warehouse architecture, data modeling, transformation, orchestration, and observability • Experience owning data systems used by production ML or LLM products • Experience with versioned training, evaluation, and retrieval datasets, embeddings and vector search, labeling, leakage prevention, drift monitoring, and retrieval-quality evaluation • Ability to explain how data quality decisions affected model performance in production • Experience building a customer master or identity resolution model across multiple source systems • Experience with matching logic, survivorship rules, and field-level provenance • Experience delivering governed business metrics used by executives and Finance • Experience with automated reconciliation, published data-quality standards, and clear remediation ownership • Ability to explain data tradeoffs in plain language • Experience implementing data governance and privacy controls, including retention, deletion, lineage, and role-based access • Working knowledge of CCPA and CPRA • Standard Pacific Time business hours, Monday through Friday • Flexibility to support security incidents and critical business needs • Must be authorized to work in the U.S. without sponsorship • Experience as a company's first or primary data leader is preferred • Financial transaction or multi-entity data experience is preferred

🏖️ Benefits

• Flexible Unlimited Paid Time Off and Company-wide Holidays • Employer sponsored Medical, Dental, & Vision plans • $1,950 annual Employer HSA contribution • FSA options including dependent care • Employee assistance program and mental health resources • Employer match program for 401(k), eligible for both Traditional and Roth accounts • $1,200 annual wellness reimbursement through JOON that supports 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 • 15% performance bonus max