Head of Data

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.

• 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