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Director, Enterprise Data Engineering & Analytics

Mmc Open · verified Oct 24, 2026
Hybrid New York Full-time Director Data Engineering

At a glance

Director-level Data Engineering role at Mmc. New York · full-time · $139,000–$277,900 base.

SalaryStated by Mmc
$139,000 – $277,900
Base salary for this role, in USD per year, as published in the posting.
This role, from MmcOur estimate for the market: $186,750–$210,975Median $192,500
The range includes the market median of $192,500 for lead data engineering roles in New York.
Worked out from 7 postings that stated pay, median $192,500. Last updated Oct 19, 2026.
RoleData Engineering
SeniorityDirector
LocationNew York
WorkplaceHybrid
EmploymentFull-time
Base pay$139,000–$277,900
PostedJul 7, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the enterprise data direction and roadmap, matching platform investment to business needs and upcoming AI work
  • Build and guide global data engineering, analytics engineering and data science teams, including hiring and mentoring
  • Deliver reusable, trusted data products for reporting, analytics, machine learning and generative AI
  • Review platform architecture, improve critical components, address production problems and establish engineering practices
  • Work with business, consulting, technology and AI leaders to shape plans and steer platform and vendor choices

What you bring

  • A computer science, engineering, data science or statistics degree, or equivalent practical experience
  • At least ten years building data platforms or large-scale systems, including five years leading and growing engineering teams
  • Hands-on Databricks and AWS expertise, with a record of delivering enterprise cloud data platform transformations
  • Strong Python and SQL skills, plus experience with Spark, data modeling, ETL/ELT, CI/CD, observability and governance tools
  • Experience designing AI-ready data architectures and applying security, privacy and regulatory requirements

Who this fits

This director-level role suits someone who combines technical leadership with team management and can still review architecture and resolve production issues. The role is based in New York and follows a hybrid schedule, with at least three days each week in the local office or at client sites.

From the employer

Company:

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.

  • 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.

What you need to have:

  • 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.

What makes you stand out:

  • 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.

  • 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.

  • 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.

  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. 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. 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. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

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. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $139,000 to $277,900.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$130k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.