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Data & AI Delivery Consultancy
DatatechCity, Edinburgh🇬🇧United KingdomPosted 20 Jun 2026
Why This Role Stands Out
This role offers a significant opportunity to lead impactful data and AI transformation programs for major financial institutions, driving strategic change and developing cutting-edge skills. You'll thrive here if you have a strong background in program delivery, stakeholder management, and a passion for leveraging data and AI to achieve tangible business results. Apply today to join a leading consultancy and elevate your career in this dynamic field.
Quick Overview
Work Type
On Site
Schedule
Full Time
Level
Mid Senior
Job Description
Data & AI Delivery Consultancy - FS
Scotland
A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients.
You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes.
Key Responsibilities
- Lead end-to-end delivery of large-scale data and AI transformation programmes
- Manage cross-functional teams spanning both business and technology workstreams
- Drive implementation, remediation, and advisory activities across the programme lifecycle
- Partner with senior client leadership to align delivery to strategic objectives
- Translate technical requirements and data platform capabilities into clear business outcomes
What We're Looking For
- A proven track record delivering large-scale data or AI programmes in complex environments
- Strong programme leadership and senior stakeholder management skills
- Experience working within banking or regulated Financial Services
- Solid understanding of modern data platforms and AI transformation approaches
- Excellent communication and consulting skills, with the ability to operate at board and C-suite level
- Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL
- Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous
Scotland
A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients.
You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes.
Key Responsibilities
- Lead end-to-end delivery of large-scale data and AI transformation programmes
- Manage cross-functional teams spanning both business and technology workstreams
- Drive implementation, remediation, and advisory activities across the programme lifecycle
- Partner with senior client leadership to align delivery to strategic objectives
- Translate technical requirements and data platform capabilities into clear business outcomes
What We're Looking For
- A proven track record delivering large-scale data or AI programmes in complex environments
- Strong programme leadership and senior stakeholder management skills
- Experience working within banking or regulated Financial Services
- Solid understanding of modern data platforms and AI transformation approaches
- Excellent communication and consulting skills, with the ability to operate at board and C-suite level
- Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL
- Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous
Skills
Agile
Confluence
Jira
SAFe
Stakeholder Management
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