Data & AI Capability Manager

About the role

We are looking for an experienced Data & AI Capability Manager to lead the delivery of a modern data platform for a strategic enterprise client, as part of one of our early and high‑priority data transformation initiatives. The project is building on an initial phase that established the target architecture, delivery approach, and proof of concept. The next phase is focused on turning that foundation into a scalable, production‑ready data platform using Microsoft Azure, with Microsoft Fabric at its core.

Key responsibilities

• Lead the delivery of the data platform workstream, from planning through production.
• Translate the existing architecture and roadmap into clear technical deliverables and priorities.
• Lead and support the team throughout the delivery.
• Design and oversee data ingestion, transformation, modelling, and data quality activities.
• Ensure the data platform is scalable, reliable, maintainable, and aligned with the agreed architecture.
• Work closely with Project Managers to manage scope, priorities, dependencies, risks, and delivery progress.
• Make and communicate technical decisions within the data engineering domain.
• Review technical solutions and deliverables to ensure quality and consistency.
• Identify technical and delivery risks early and drive them through to resolution.
• Work with other technical teams to manage integrations and dependencies across the platform.
• Help establish good data engineering practices that can be reused across future projects.
• Act as the main technical point of contact for data delivery within the project.

Required profile

• Proven experience leading data engineering or data platform delivery in a project environment.
• Strong hands‑on experience with Microsoft Azure data services.
• Practical experience with Microsoft Fabric or a comparable modern cloud data platform.
• Strong understanding of modern data platform and lakehouse architectures.
• Experience with data ingestion, transformation, and data modelling.
• Strong SQL skills and practical experience with Python and/or PySpark.
• Experience working with data pipelines, orchestration, and data quality.
• Experience leading or mentoring data engineers.
• Ability to balance technical decisions with delivery priorities, timelines, and project constraints.
• Strong communication and stakeholder management skills.

Required skills

• Microsoft Azure
• Microsoft Fabric
• Python
• SQL
• PySpark
• Data pipelines orchestration
• Data ingestion
• Data transformation
• Data modelling
• Data quality