Head of Enterprise Data Platform & Analytics

Marsh; Philadelphia (Philadelphia County); Hybrid; USD 139,000 - 278,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

401(k) and retirement programs

Employee assistance programs

Job summary

Marsh seeks an experienced Director of Enterprise Data Engineering & Analytics to scale our data platforms and analytics capabilities in a hybrid US-based environment. You will lead globally distributed teams and drive trusted data products powering analytics, ML, and AI at scale.

Ideal candidates have 10+ years building data platforms with Databricks and AWS, strong Python/SQL skills, and a proven leadership track record in enterprise settings.

Qualifications

• Degree in Computer Science, Engineering, Data Science, Statistics, or equivalent practical experience.
• 10+ years designing and delivering data platforms, with 5+ years leading engineering teams.
• Enterprise cloud data platform experience with Databricks and AWS.
• Strong Python and SQL, plus Spark, ETL/ELT, CI/CD, observability, governance tooling.

Responsibilities

• Define and evolve the enterprise data strategy and roadmap.
• Lead, hire, and mentor globally distributed data teams.
• Drive design and delivery of trusted data products for analytics, ML, and AI.
• Provide hands-on technical leadership across architecture and delivery standards.
• Partner with senior leaders to shape data roadmap and manage vendor priorities.

Skills

Databricks

AWS

Python

SQL

Spark

Data modeling

ETL/ELT

CI/CD

Observability

Governance tooling

Education

Degree in Computer Science/Engineering/Data Science/Statistics

Tools

Pub/Sub

Kafka

Kinesis

Azure

Job description

Marsh seeks an experienced Director of Enterprise Data Engineering & Analytics to scale our data platforms and analytics capabilities in a hybrid US-based environment. You will lead globally distributed teams and drive trusted data products powering analytics, ML, and AI at scale.

Ideal candidates have 10+ years building data platforms with Databricks and AWS, strong Python/SQL skills, and a proven leadership track record in enterprise settings.