Director, Data Architecture & Platforms

KPMG United Kingdom
City of London
2 months ago
Applications closed

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Overview

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Job description


Director, Data Architecture & Platforms


Location: UK-Wide


Responsibilities

  • You will be in a client facing role, engaging with C-suite and senior executives to set the vision and then in the delivery and operationalisation of data architecture and technology platforms.
  • Translate complex data concepts into compelling, actionable advice for stakeholders.
  • A visible practice leader, shaping thought leadership, owning and refining propositions for relevance, and driving go-to-market activities.
  • Lead the design and implementation of modern data platforms and architectures, including data Lakehouse, data engineering and advanced analytics ecosystems enabling scale implementation and adoption of Artificial Intelligence (ML, GenAI and Agentic).
  • Develop and own end-to-end solution implementations using technologies such as Collibra, Informatica, Databricks, Quantexa, and Microsoft Fabric, ensuring scalability and impact.
  • Build, mentor, and inspire multi-disciplinary teams, fostering a culture of collaboration and innovation across onshore, nearshore and offshore locations.
  • Champion delivery: unblock obstacles, step into the details, and deliver quiet confidence that you'll get things done.

About You

  • A delivery-focused practitioner with a history of influencing and advising senior stakeholders in shaping their data strategies.
  • Deep technical expertise and gravitas in delivering data architecture, data quality, data products, data integration and pipelines.
  • Have a good applied understanding of new and emerging AI concepts and their practical application using LLMs, Agentic Frameworks, Agentic Platforms and Vibe Coding.
  • Formal certification and applied skills in platform(s) implementation.
  • History of building scalable teams, and IP in the form of frameworks, methodologies, assets and accelerators.
  • Shape and execute practical strategies for data governance, quality, products, integration, and data pipelines at scale.
  • Deep expertise in a sector (for example, Financial Services) whilst broad understanding of other sectors and industries.
  • Thrive in complex, ambiguous environments, consistently bridging business ambition with technical execution.

Collaborative across other technical and functional domains to co-create, share knowledge, and help elevate teams around you to their highest potential



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