AI & Data Transformation Lead — Enterprise Delivery

Commify-Group; Nottingham; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Competitive salary

Company bonus

Flexible working

27 days holiday + Bank Holidays

Enhanced family leave

Birthday day off

Mental Health support

Wellbeing leave

Giving back days

Lifelong learning

Total rewards

Job summary

Commify-Group is seeking a delivery professional to own high-impact initiatives in Data Transformation and Enterprise AI Adoption. You will lead cultural, operational and behavioural shifts to establish a single source of truth across the business, with AI-enabled workflows guiding process improvements.

The role emphasizes governance, change management, and executive storytelling to align senior stakeholders and accelerate rapid deployment using a hybrid delivery approach.

Qualifications

• Proven project management experience leading complex end-to-end transformation projects in fast-paced B2B SaaS/tech environments.
• Hands-on data transformation and enterprise data architecture experience coupled with change management.
• Experience with or keen interest in AI tools and automated workflows is desirable.

Responsibilities

• Lead high-impact deliverables across Data Transformation and Enterprise AI Adoption pillars.
• Drive data hygiene, integration, governance and data-led decision-making.
• Manage data quality, security and accessibility across business levels.

Skills

Project management

Data transformation

Change management

AI adoption

Stakeholder engagement

Executive communication

Education

PRINCE2

PMP

AgilePM

CSM

Job description

Commify-Group is seeking a delivery professional to own high-impact initiatives in Data Transformation and Enterprise AI Adoption. You will lead cultural, operational and behavioural shifts to establish a single source of truth across the business, with AI-enabled workflows guiding process improvements.

The role emphasizes governance, change management, and executive storytelling to align senior stakeholders and accelerate rapid deployment using a hybrid delivery approach.