Mmc
Director, Enterprise Data Engineering & Analytics
New York - 1166 · Director
Sponsorship not specified$139k-$278kDetected 14 days ago
PythonSQLDatabricksAWSGCPAzureCloud PlatformsCI/CDKafkaMachine LearningSparkData EngineeringData ScienceLLMsStatisticsLeadershipCollaboration
About the role
- Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries.
- For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
- Marsh is committed to embracing a diverse, inclusive and flexible work environment.
Responsibilities
- Lead, hire, and mentor globally distributed data engineering, analytics engineering, and data science teams while fostering a high-performing, inclusive culture.
- Partner with senior business, consulting, technology, and AI platform leaders to shape the data roadmap, influence investment decisions, and manage vendor and platform priorities.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Requirements
- 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.
- Consulting or client-facing delivery experience in a complex enterprise environment.
- Experience with streaming platforms and real-time architectures such as Kafka, Pub/Sub, or Kinesis.
- Familiarity with vector-enabled data platforms, retrieval-optimized data models, and other modern Generative AI data patterns.
Nice to have
- Strong software and data engineering skills, including Python and SQL, plus experience with Spark, data modeling, ETL/ELT, CI/CD, observability, and governance tooling.
Compensation
- With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective.
- The applicable base salary range for this role is $139,000 to $277,900.
- In addition to the base salary, this position may be eligible for performance-based incentives.
Benefits
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
- We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
- Drive the design and delivery of trusted, reusable data products that power analytics, reporting, machine learning, and generative AI across the firm.
- Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office.
- The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements.
Company info
- Oliver Wyman
- Description:
- Oliver Wyman Technology is seeking an experienced Director of Enterprise Data Engineering & Analytics to lead and scale our enterprise data platform and analytics capabilities.
- This strategic leadership role is responsible for building trusted, governed and scalable data foundations that power analytics, reporting and AI across the firm.
- Working closely with AI platform, application and business teams, the Director will ensure enterprise data is discoverable, high quality and AI-ready, enabling the successful adoption of machine learning and generative AI capabilities.
- The role combines strategic leadership with hands-on technical expertise, leading multidisciplinary teams while delivering modern cloud data platforms and analytics products that create measurable business value.
- The ideal candidate has deep, practical experience with Databricks and AWS and a proven track record of delivering enterprise data platforms that enable analytics, machine learning and generative AI at scale.
- We will count on you to:
- Define and evolve the enterprise data strategy and roadmap, aligning investments with business priorities and future AI capabilities.
- Provide hands-on technical leadership by reviewing architecture, optimizing key components, resolving production issues, and setting engineering standards and delivery practices.
- What you need to have:
- Experience designing AI-ready data architectures that support machine learning and generative AI use cases, with strong knowledge of security, privacy, and regulatory requirements.
- What makes you stand out:
- Exposure to additional cloud platforms such as Azure or GCP, or hybrid cloud environments.
- Professional certifications such as Databricks or AWS Solutions Architect/Specialty.
- Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
Equal opportunity
- If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
This listing is sourced directly from Mmc's careers page and normalized into a canonical job model.