AI & Data Delivery Manager (AI)

TL;DR

AI & Data Delivery Manager (AI): Leading complex AI and data transformation engagements for enterprise customers with an accent on technical programme management, governance, commercial performance, and measurable business outcomes. Focus on scaling multi-workstream initiatives, managing regulatory and operational risks, and building high-performing delivery teams across customers, partners, and internal stakeholders.

Location: London, United Kingdom

Company

hirify.global is a global AI-native consultancy delivering production-scale AI and data solutions for enterprise clients across Financial Services, Energy, and Healthcare.

What you will do

• Lead complex AI and data engagements, covering governance, risk management, stakeholder alignment, execution, and transition.
• Oversee a portfolio of engagements, balancing resources, priorities, delivery risks, budgets, forecasts, and profitability.
• Own the engagement lifecycle from pre-sales shaping and roadmap definition through delivery and post-delivery transition.
• Partner with customers to translate business challenges into scalable, maintainable solutions with measurable impact.
• Build and mentor high-performing technical delivery teams and coordinate employees, contractors, partners, and customer personnel.
• Develop delivery methodologies, reusable frameworks, and best practices for secure, fair, explainable, compliant AI and data initiatives.

Requirements

• Extensive experience leading £2M+ multi-workstream AI and data transformation engagements, ideally across complex, mission-critical, or multi-region deployments.
• Technical expertise in cloud platforms, modern data architectures, and AI/ML deployment.
• Experience applying Agile, Lean, and Product-thinking approaches to large-scale data and AI initiatives.
• Expertise in change management, technology adoption, organisational transformation, and cultural change.
• Strong commercial acumen, including budgeting, forecasting, and contract negotiation.
• Deep understanding of AI/ML operational challenges, regulatory requirements, stakeholder engagement, and consulting or technology delivery.

Nice to have

• Experience in Financial Services, Energy, or Healthcare.

Culture & Benefits

• Fast-growing start-up environment with opportunities for career growth.
• Competitive salary package with a company bonus.
• Collaborative environment where individual viewpoints are considered.
• Company backing supporting new initiatives and global market expansion.
• Choice of work equipment, including MacBooks, PCs, and accessories.
• Personal learning budget for professional development.