Company: Oliver Wyman

Description:
Director, Enterprise Data Engineering & Analytics

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 teams of data engineers, analytics engineers and data scientists, setting priorities and delivery cadence while fostering a high-performing, inclusive engineering culture.
Lead the design and delivery of trusted, reusable data products that enable analytics, reporting and AI capabilities across the firm.
Provide hands‑on technical leadership: design and review architecture, implement or optimise key components, and resolve production incidents as required.
Establish engineering standards, architectural principles and delivery practices that improve the quality, scalability and resilience of enterprise data solutions.
Enable self-service analytics through well-governed semantic models, reusable datasets and curated enterprise data assets.
Partner with AI platform, engineering,



consulting and product teams to deliver AI-ready data products by ensuring data pipelines, metadata, lineage and governance meet the needs of machine learning and generative AI use cases- Define and enforce data governance, metadata, lineage, security and data quality standards that enable trusted analytics and responsible AI adoption.
Build trusted relationships with senior business, consulting and technology leaders to shape the data roadmap, influence investment decisions and prioritize delivery against business outcomes.
Manage vendor relationships and platform budgets; evaluate and procure third‑party tools where appropriate.
Foster a culture of data literacy, experimentation, inclusivity and continuous improvement.

Must have skills and qualifications
Degree in Computer Science, Engineering, Data Science, Statistics or equivalent practical experience.
10+ years designing and delivering dat

📌 Director Data Engineering Gurugram
🏢 Oliver Wyman
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