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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Data - **Company:** Acquisitions, Ltd. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $250,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Cloud Engineering, Cluster Analysis, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Entity Framework, Healthcare Effectiveness Data and Information Set, Machine Learning, Software Product Management, Search Technologies, Sentiment Analysis, SQL Databases, Privacy Controls, Sql Optimization, Large Language Models, Deep Learning, Data Layers, Information Technology, Drift Detection, User Identification - **Published:** October 12, 2026 - **Apply:** https://www.builtincolorado.com/job/director-data/11639834?handler=ApplyRedirect ## About the Role * 8+ years of data engineering, analytics engineering, or data platform experience, including leading a data function and directly managing senior engineers; experience as a company's first or primary data leader is preferred. * Hands-on experience building or rebuilding a modern cloud data stack, with advanced SQL skills and practical experience with warehouse architecture, data modeling, transformation, orchestration, and observability. * Experience owning data systems used by production ML or LLM products, including versioned training, evaluation, and retrieval datasets, embeddings and vector search, labeling, leakage prevention, drift monitoring, and retrieval-quality evaluation. Must be able to explain how data quality decisions affected model performance in production. * Experience building a customer master or identity resolution model across multiple source systems, including matching logic, survivorship rules, and field-level provenance. * Experience delivering governed business metrics used by executives and Finance, including automated reconciliation, published data-quality standards, clear remediation ownership, and the ability to explain data tradeoffs in plain language. * Experience implementing data governance and privacy controls, including retention, deletion, lineage, role-based access, and working knowledge of CCPA and CPRA; financial transaction or multi-entity data experience is preferred., Be at your best when your best is needed. Enjoyment of a hard challenge. Those who have the drive to constantly improve, the superior intellect and long term commitment to see incremental improvements become compounding returns. Sincere Candor Have the self awareness to accurately perceive and communicate hard truths that improve others and self, the courage to do so, and the humility to accept them, even when it hurts. Nothing great can be built without feedback: internally or externally. Unimpeachable Character Be the type of person with whom people are always proud to associate, personally and professionally. We look for true alignment of thoughts, words, and actions towards a goal worth pursuing. ## Description The Director of Data owns the company's data platform, governed metrics, client identity resolution, data quality, privacy controls, and AI-ready datasets. This leader manages the data team, establishes governance and operating standards, oversees warehouse and pipeline architecture, and ensures reliable data for Finance, leadership, products, and ML/LLM systems. The role requires hands-on technical leadership, roadmap ownership, stakeholder communication, and accountability for data reliability, lineage, security, and platform costs. The summary above was generated by AI Role Acquisition.com helps businesses scale. We hold data from thousands of client businesses, including company profiles, purchases, product usage, and live connections to bank, CRM, and advertising accounts. Our founders have said the company must be data-first before it can be AI-first. This role makes that true. We are hiring our first Director of Data, the first leader solely accountable for the data function. Three Senior Data Engineers and a half-time analyst run the warehouse, single-client-record pipelines, and reporting used by Finance and Leadership, supporting two client-facing products in daily use. What is missing is one owner for accurate numbers, one reliable client record, AI-ready data, and one data program. The mandate is to make data reliable and usable by people, products, and AI systems. You own the data platform, single client record, governed business metrics, and data used to train, evaluate, and ground AI systems. You lead the team and data quality program while remaining hands-on enough to write SQL, inspect models, and diagnose failures. You report to the CTO; Platform owns infrastructure and application engineering; AI Engineering owns model architecture and runtime; and you own the data those systems train on, evaluate against, and retrieve from. The existing team reports to you on day one, and you set the standards every data-producing team must meet. Responsibilities * Own the data platform end to end, including the warehouse, ingestion, transformation, semantic layer, orchestration, observability, vendors, and cost. * Build the 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 that Leadership and Finance use, including one definition per metric, published freshness standards, automated reconciliation, and named ownership by domain. * Enforce privacy and access controls in the data layer with Security and Legal, including retention, deletion, cataloging, lineage, and boundaries between operating companies and partners. * Lead the data team as one program through a published roadmap, clear operating cadence, documented on-call, talent development, and hands-on technical leadership when the work requires it., * Within 60 days, publish one data roadmap, review it monthly with the CTO and quarterly with the founders, and assign an owner to every data initiative. * AI assistants answer the top 20 leadership metric questions; every AI product has a team-owned evaluation set; and no model ships without testing it with AI Engineering. * The client record covers every active client, core fields are at least 95% complete, connected-source data uses the same model, and every material field has provenance. * Every executive KPI and Finance statement uses governed metrics; reconciliation runs weekly; unmatched payment volume falls below 1% from $9.8 million; and critical failures are detected within one hour and resolved within one business day. * Retention and deletion are automated, deletion requests complete within 45 days with an audit record, and warehouse access is reviewed quarterly. * Every data engineer has a level, growth plan, and on-call; no critical pipeline depends on one person; and platform spend and unit cost are reported monthly. Schedule * Full-time, standard Pacific Time business hours, Monday through Friday. * Flexibility to support security incidents and critical business needs., Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments. Top Skills: Ai/MlAthenaCernerEhrEltEpicETLFhirHl7Medallion Architecture Optum Associate Director - QOI Supplemental Data Operations - Remote CST or EST 7 Days Ago In-Office or Remote 113K-193K Annually Mid level 113K-193K Annually Mid level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Leads governance, implementation, validation, audit readiness, and optimization of clinical supplemental data sources supporting HEDIS, CMS, and state quality reporting. Manages analyst teams, collaborates with clinical, technology, operational, vendor, and audit stakeholders, translates requirements into technical specifications, drives data quality and compliance improvements, and serves as the enterprise liaison to HEDIS auditors. Develops action plans, oversees source audits, supports executive communications, and manages complex projects and reporting initiatives. 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Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute