Head of Data Platform (AI)

Location: London, United Kingdom

Company

hirify.global operates an international insurance business and is investing in enterprise data, AI and technology capabilities.

What you will do

• Set the strategy, roadmap and operating model for the enterprise data platform.
• Lead the design, build and operation of a scalable, secure and resilient modern data platform.
• Drive DataOps, CI/CD, observability, service management, data quality and production support practices.
• Create governed, well-modelled and permission-aware data foundations for analytics, AI and advanced machine learning use cases.
• Lead strategic data programmes and platform change, managing scope, cost, risk, quality, dependencies and stakeholder expectations.
• Build, coach and develop a high-performing data engineering and platform team while managing budgets, suppliers, contracts and commercial performance.

Requirements

• Proven experience leading modern enterprise data platforms and delivering large-scale data transformation programmes.
• Experience with data engineering, software engineering, architecture, platform operations or technology delivery, with 10–15 years of experience and significant leadership experience.
• Experience with technologies such as Snowflake, orchestration tools, ELT, BI and analytics platforms.
• Strong understanding of platform engineering, DataOps, CI/CD, observability, reliability, resilience, data quality, security and production support.
• Practical knowledge of AI, machine learning and Generative AI workloads, including data, governance, retrieval, MLOps and cost considerations.
• Awareness of responsible AI, data privacy, regulatory obligations and security considerations, particularly in insurance, reinsurance or financial services.
• Ability to set direction, define roadmaps, make technology decisions and translate business priorities into scalable platform outcomes.
• Confident leadership, communication and stakeholder management skills, including the ability to influence senior stakeholders and lead multidisciplinary teams.
• Strong commercial and financial management skills, including budgeting, consumption management, business cases and supplier performance management; a bachelor’s degree or equivalent experience is expected.

Nice to have

• Experience with insurance or reinsurance systems and data.
• Knowledge of Python and Power BI.

Culture & Benefits

• Collaborative culture focused on expertise, innovation and progress.
• Opportunity to influence technology across an international insurance business.
• Visible impact on modern data platforms, responsible AI adoption and trusted data access.