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Head of Data Platform

Arch Capital Group Ltd.
London, GBR
Full-time
Director · 10–15 years experience
Hybrid
Discovered 3 weeks ago
power-bipythonsnowflake

Full Job Posting

Skills and capabilities

Experience leading modern enterprise data platforms, ideally including technologies such as Snowflake, orchestration tools, ELT, BI and analytics platforms. A 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 the data, governance, retrieval, MLOps and cost considerations needed to support them. Awareness of responsible AI, data privacy, regulatory obligations and security considerations, particularly in insurance, reinsurance or financial services. The ability to set direction, define roadmaps, make sound technology decisions and translate business priorities into scalable platform outcomes. Confident leadership, communication and stakeholder management skills, with the ability to influence senior stakeholders and lead multi-disciplinary teams. Strong commercial and financial management skills, including budgeting, consumption management, business cases and supplier performance management. Good business acumen and a clear focus on applying technology to improve data management, business processes and decision-making. Experience with insurance or reinsurance systems and data is advantageous, as is knowledge of Python and Power BI.

Experience

You will have a proven track record of leading enterprise data platforms and delivering large-scale data transformation programmes, ideally within insurance, reinsurance or financial services.

You are likely to bring 10–15 years’ experience across data engineering, software engineering, architecture, platform operations or technology delivery, together with significant leadership experience. A bachelor’s degree or equivalent experience is expected.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

Qualifications

  • You will have a proven track record of leading enterprise data platforms and delivering large-scale data transformation programmes, ideally within insurance, reinsurance or financial services.
  • You are likely to bring 10–15 years’ experience across data engineering, software engineering, architecture, platform operations or technology delivery, together with significant leadership experience. A bachelor’s degree or equivalent experience is expected.
  • Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
  • Skills and capabilities
  • Experience leading modern enterprise data platforms, ideally including technologies such as Snowflake, orchestration tools, ELT, BI and analytics platforms. A 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 the data, governance, retrieval, MLOps and cost considerations needed to support them. Awareness of responsible AI, data privacy, regulatory obligations and security considerations, particularly in insurance, reinsurance or financial services. The ability to set direction, define roadmaps, make sound technology decisions and translate business priorities into scalable platform outcomes. Confident leadership, communication and stakeholder management skills, with the ability to influence senior stakeholders and lead multi-disciplinary teams. Strong commercial and financial management skills, including budgeting, consumption management, business cases and supplier performance management. Good business acumen and a clear focus on applying technology to improve data management, business processes and decision-making. Experience with insurance or reinsurance systems and data is advantageous, as is knowledge of Python and Power BI.

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