Head of Enterprise Data Platform & AI Analytics

Marsh; Washington (District of Columbia); Hybrid; USD 139,000 - 278,000; Full time

Benefits offered by this job

Health and welfare benefits

Tuition assistance

401K and retirement programs

Job summary

Marsh is seeking a seasoned Director of Enterprise Data Engineering & Analytics to lead and scale our data platform and analytics capabilities in a hybrid work model in the Washington, DC area. You will own the data strategy, govern data foundations, and partner across the business to enable AI readiness and machine learning initiatives.

You will build and mentor globally distributed teams, drive trusted data products, and establish standards for architecture, delivery, and security while

Qualifications

• Degree in Computer Science, Engineering, Data Science, Statistics, or equivalent practical experience.
• 10+ years designing and delivering data platforms or large-scale data systems, including 5+ years leading and scaling high-performing engineering teams.
• Proven experience delivering enterprise cloud data platform transformations, with strong hands-on expertise in Databricks and AWS.
• Strong software and data engineering skills, including Python and SQL, plus experience with Spark, data modeling, ETL/ELT, CI/CD, observability, and governance tooling.
• Experience designing AI-ready data architectures that support machine learning and generative AI use cases, with strong knowledge of security, privacy, and regulatory requirements.

Responsibilities

• Define and evolve the enterprise data strategy and roadmap, aligning investments with business priorities and future AI capabilities.
• Lead, hire, and mentor globally distributed data engineering, analytics engineering, and data science teams while fostering a high-performing, inclusive culture.
• Drive the design and delivery of trusted, reusable data products that power analytics, reporting, machine learning, and generative AI across the firm.
• Provide hands-on technical leadership by reviewing architecture, optimizing key components, resolving production issues, and setting engineering standards and delivery practices.
• Partner with senior business, consulting, technology, and AI platform leaders to shape the data roadmap, influence investment decisions, and manage vendor and platform priorities.

Skills

Data engineering leadership

Cloud data platforms

Python & SQL

Spark

ETL/ELT

CI/CD

Observability & governance tooling

AI-ready data architectures

Security & regulatory compliance

Cross-functional leadership

Education

Bachelors or higher in CS/Engineering/Data Science

Tools

Databricks

AWS

Kafka

Pub/Sub

Kinesis

Azure

GCP

Job description

Marsh is seeking a seasoned Director of Enterprise Data Engineering & Analytics to lead and scale our data platform and analytics capabilities in a hybrid work model in the Washington, DC area. You will own the data strategy, govern data foundations, and partner across the business to enable AI readiness and machine learning initiatives.

You will build and mentor globally distributed teams, drive trusted data products, and establish standards for architecture, delivery, and security while