Director, Enterprise Data Engineering & Analytics

About the role

Oliver Wyman Technology is looking for an experienced Director of Enterprise Data Engineering & Analytics to lead and scale its enterprise data platform and analytics capabilities. The role builds trusted, governed and scalable data foundations that power analytics, reporting and AI across the firm, working closely with AI platform, application and business teams so that data is discoverable, high quality and AI-ready. It combines strategic leadership with hands-on technical expertise, leading multidisciplinary teams while delivering modern cloud data platforms and analytics products.

Key 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, fostering a high-performing, inclusive culture.
• Drive the design and delivery of trusted, reusable data products powering analytics, reporting, machine learning and generative AI.
• Provide hands-on technical leadership: review architecture, optimize key components, resolve production issues and set 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.

Required profile

• 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 engineering teams.
• Proven experience delivering enterprise cloud data platform transformations, with strong hands-on expertise in Databricks and AWS.
• Experience designing AI-ready data architectures supporting machine learning and generative AI, with knowledge of security, privacy and regulatory requirements.
• Nice to have: consulting or client-facing delivery experience, streaming platforms such as Kafka, Pub/Sub or Kinesis, vector-enabled data platforms, Azure or GCP exposure, and Databricks or AWS certifications.

Required skills

• Python and SQL
• Spark, data modeling, ETL/ELT, CI/CD, observability and governance tooling
• Databricks and AWS (strong hands-on)

What we offer

• Base salary range of $139,000 to $277,900, with possible performance-based incentives.
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs.
• Professional development opportunities and a hybrid work model, with at least three days per week in the office.