Data Platform & AI Transformation Consultant

Phoenix Software

Pocklington

Hybrid

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Phoenix Software is hiring a Technical Consultant - Data & AI to join our IT Services team in the UK. You will lead data transformation projects, from discovery through to delivery, helping customers unlock value from data while enabling AI and machine-learning initiatives.

You will work across workshops, architecture design, and hands-on delivery, ensuring governance, quality and scalable data platforms. This role requires SC clearance and a customer-focused mindset, with hybrid working

Qualifications

Experience delivering customer-facing consultancy or professional services engagements.
Strong understanding of enterprise data architecture principles.
Experience designing and implementing data lakes, data warehouses and lakehouse architectures.
Good understanding of data governance, data quality and data management frameworks.
Strong SQL skills and experience using Python or PySpark.
Experience with Databricks and Microsoft data technologies.
Understanding of how modern data platforms support AI and machine learning workloads.
Strong workshop facilitation, communication and stakeholder management skills.
Excellent technical documentation and technical writing skills.
Strong analytical and problem-solving capabilities.
Commercial awareness and customer-focused mindset.
Ability to balance strategic consulting with hands-on technical delivery.

Responsibilities

Lead data consulting engagements from discovery through to implementation and handover.
Facilitate workshops to understand customer challenges and define data solutions.
Advise customers on enterprise data strategy, governance, data quality and data management practices.
Design and implement data landing zones aligned with CAF principles.
Deliver end-to-end data platform projects covering architecture, deployment and optimisation.
Support machine learning and AI initiatives with Architects and AI specialists.
Contribute to reusable assets, accelerators and reference architectures.
Support pre-sales activities including discovery sessions, demos, proposals and presentations.
Build trusted relationships with customers and guide throughout the project lifecycle.