Join a premier B2C enterprise to lead the organization's AI transformation while owning its established Data & Analytics function. As Head of Data & AI you will build the enterprise AI Operating System from the ground up. In this highly visible role, you will bridge core data infrastructure with agentic, predictive, and analytic AI, championing a function that is set to become central to the company's future.
What You'll Do:
- Executive Partnership & Strategy: Partner directly with the CEO, CIO, and C-Suite leadership to define the enterprise AI vision, present strategy to executive steering committees, and champion AI adoption across all business units.
- Lead the Core Data Function: Own and scale the existing Data & Analytics department, including Data Warehousing (DWH), BI/dashboards, data pipelines, Customer 360, and self-service analytics.
- Build the AI Operating System: Architect and deploy enterprise-wide AI capabilities, pioneering agentic workflows, LLM applications, and RAG architectures.
- Drive Commercial Delivery: Establish agile delivery pods in collaboration with marketing, digital, and commercial stakeholders to deliver high-ROI AI solutions with fast time-to-market.
- Establish Governance & FinOps: Define data & AI governance, guardrails, and cyber-security controls while managing tokenomics/FinOps to optimize cloud compute and API spending.
- Manage as a Business Unit: Own the domain P&L, budgets, vendor contracts, hiring, and scaling capacity to meet demand.
Requirements:
- Demonstrated track record of reporting to or partnering directly with C-Level executives (CEO, CIO, C-Suite) and presenting to executive committees/boards - Must
- 2+ years of recent experience building AI capabilities (Agentic AI, LLMs, Multi-Agent frameworks, RAG, or predictive ML) in production - Must
- Proven experience building and leading a Data & AI organization (FTEs, contractors, and external vendors) combining strategic ownership with hands-on delivery - Must
- Strong CDO ownership with deep familiarity with modern data & analytics platforms (DWH, BI, data pipelines, Customer 360, Data Governance) - Must
- Strong business acumen & B2C depth - ability to partner deeply with commercial stakeholders and translate business needs into customer-centric AI solutions – Must
- Strong communication and executive presence, with the drive to lead change within a large, complex enterprise – Must
- Experience managing a tech function as a business unit - budgeting, hiring, vendor management, and capacity scaling - Must
- Experience building a Data & AI organization from the ground up in aviation, travel, banking, telecom, or similar large B2C enterprise - Significant Advantage
