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# Head of Data

- **Company:** THE LAB INCUBATOR
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Computing Platforms, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Security, Data Warehousing, Data Intelligence, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Enterprise Data Management, Google Cloud, Snowflake, Deep Learning, Generative AI, Backend, Data Strategy, Information Technology, Data Analytics, Data Management, Tools for Reporting, Cloud Migration, Data Pipelines, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Head-of-Data-Incubator-Lab-691121805213755/

## About the Role

+ Experience : 10+ years of progressive data management experience, with at least 4 years managing cross-functional, highly technical teams.
 + Strategic Acumen : Proven track record of linking data initiatives to commercial outcomes, generating measurable revenue increases or operational cost reductions.
 + Tech Stack Familiarity : Comprehensive technical fluency in cloud platforms (AWS, GCP, Snowflake, or Databricks), ETL/ELT pipelines, SQL, Python, and BI layers (Tableau, PowerBI).
 + Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field.
 + Communication : Elite written and verbal communication skills, with an explicit ability to distill complex analytical concepts for non-technical executives.
Preferred Qualifications

 + Experience guiding a company through rapid infrastructure changes, cloud migrations, or digital transformations.
 + Advanced understanding of AI ethics, risk management frameworks, and model deployment pipelines.
WORKING HOURS: REMOTE-FIRST & ASYNCHRONOUS

## Description

The Head of Data owns the organization's overarching data strategy, foundational platforms, governance frameworks, and the analytics-to-AI value chain. Reporting directly to the Chief Executive Officer (CEO), this executive leader transforms the corporate data estate into a primary driver of decision advantage and bottom-line value. You will run a multi-disciplinary department across data engineering, business intelligence, data governance, and artificial intelligence/machine learning (AI/ML).
Core Responsibilities
Strategic Leadership & Culture

 + Data Strategy Alignment : Establish the enterprise-wide data roadmap to explicitly match corporate strategic growth goals and deliver clear return on investment (ROI).
 + Data Literacy & Advocacy: Foster a mature, data-driven operational culture across all business functions by championing data literacy and product-thinking.
 + AI & Innovation: Lead data-driven innovation, building the production pipeline for advanced machine learning, predictive modeling, and generative AI initiatives.
Platform Architecture & Data Product Delivery

 + Data Lifecycles : Oversee end-to-end data lifecycle infrastructure, ensuring efficient ingestion, transformation, storage, and retrieval across modern cloud systems.
 + Business Analytics : Build high-utility analytics, dashboards, and reporting frameworks that senior business leaders rely on for commercial KPIs.
 + Product Infrastructure : Coordinate with engineering and product squads to seamlessly scale backend data warehouses and semantic access layers.
Governance, Privacy & Trust

 + Compliance & Lineage: Enforce rigorous enterprise data policies regarding lineage, security, privacy regulations (e.g., GDPR, CCPA), and automated data quality validation.
 + Access Control : Partner with the corporate security team to manage access control frameworks and secure data sharing rules for stakeholders.
People Management & Vendor Oversight

 + Team Scaling : Recruit, lead, and mentor a high-performing group of data engineers, data scientists, and business intelligence analysts.
 + Vendor Ecosystems : Negotiate and optimize contracts with critical third-party tooling, cloud providers, and specialized data migration vendors.


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