Head of Data Ingestion in London

We are seeking a Global Head of Data Ingestion to join our Chief Innovation & Data Office team at Marsh. This role can be based in London and is a hybrid role that requires working at least three days a week in the office.

The Global Head of Data Ingestion is a senior leadership role responsible for designing, executing, and continuously improving the enterprise strategy for acquiring, validating, and delivering high-quality data at scale. This leader will define how data, both structured and unstructured, flows into a golden-source data environment ready for analytics, AI, and commercial use, as well as into downstream systems. The role carries both strategic authority over the ingestion architecture and operational accountability for cost, speed, and accuracy.

The position encompasses three interrelated mandates:

• Domain-Led Ingestion Strategy: Define and maintain a prioritized, domain-based ingestion strategy that ties every ingestion workstream to a specific commercial or operational outcome. Partner with business leaders across the enterprise to identify which data elements and sources drive the highest-value outcomes and prioritize their ingestion over lower-value noise.
• Ingestion Architecture & Technical Authority: Own the target-state ingestion architecture: define the standards, patterns, and guardrails for how data enters the enterprise data environment (Databricks/MIDAS). Drive modernization from bespoke, fragile integration points toward scalable, repeatable ingestion patterns.
• Ingestion Product Development & Vendor Management: Oversee the development and continuous improvement of internal ingestion products and tools, including document ingestion engines and API connectors. Evaluate, select, and manage third-party vendor solutions where appropriate.
• Human-in-the-Loop Capability Center: Hold executive accountability for a centralized Capability Center responsible for final data validation and human-assisted processing. Ensure the Capability Center operates against clear SLAs for speed, accuracy, and cost per record or document.
• Cost Accountability & Industrialization: Deliver substantial, sustained run-rate cost reductions through consolidation of fragmented data teams and replacement of manual effort with automated ingestion.
• Enablement of Analytics & AI: Ensure that all ingestion pathways result in clean, validated, well-cataloged data entering the golden-source environment, ready for downstream analytics and AI consumption.

Qualifications & Experience:

• 15+ years of experience in data engineering, data management, or data architecture, with at least 5 years in a senior leadership role with global scope.
• Demonstrated track record building and operating large-scale, enterprise-grade data ingestion capabilities.
• Strong understanding of application architecture and modern data platforms.
• Fluency in how AI and large language models can be applied to ingestion challenges.
• Proven ability to deliver structural cost savings through platform consolidation and operational industrialization.
• Excellent stakeholder management and communication skills.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, gender orientation, marital status, nationality, race, religion and beliefs, sex/gender, sexual orientation, or any other characteristic protected by applicable law. We are an equal opportunities employer.