Data & AI Delivery Specialist

Nigel Frank

Greater London

Hybrid

GBP 65,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Hybrid working model
Career progression opportunities
Professional development

Job summary

Nigel Frank is seeking a Data & AI Delivery Specialist to join our London-based practice. You will lead large-scale Data, Analytics and AI transformation programmes, translating business needs into practical data and technology strategies.

Hybrid working in London, with exposure to Azure, AWS or GCP, and opportunities to work across sectors. The role requires strong stakeholder management, data governance knowledge and Agile delivery experience.

Qualifications

  • Experience delivering Data, Analytics and AI transformation initiatives.
  • Strong stakeholder management and communication skills.
  • Experience in project, programme or transformation delivery environments.
  • Understanding of data management, governance and quality concepts.
  • Knowledge of analytics, reporting and AI solutions.
  • Understanding of data modelling and architecture principles.
  • Experience with modern data platforms and cloud technologies.
  • Exposure to data pipelines, data warehouses and analytical ecosystems.
  • Familiarity with SQL, Python or similar for data analysis and automation.
  • Experience in Agile delivery environments.
  • Strong analytical and problem‑solving skills.
  • Ability to translate complex business challenges into data‑driven solutions.
  • Consulting or client‑facing experience is a plus.

Responsibilities

  • Lead delivery of large-scale Data, Analytics and AI transformation programmes.
  • Engage with senior stakeholders to understand challenges and define solutions.
  • Translate business requirements into practical data and technology strategies.
  • Design and implement modern data platforms, pipelines and analytical solutions.
  • Support development of scalable cloud‑based data ecosystems (Azure/AWS/GCP).
  • Develop data strategy, operating models and transformation roadmaps.
  • Implement data governance and data quality initiatives.
  • Define AI and machine learning use cases to drive growth.
  • Oversee governance, planning, risk management and delivery activities.
  • Collaborate with Architects, Engineers, Data Scientists and Analysts.
  • Apply agile delivery methodologies and best practices.
  • Engage in business development and client engagement activities.
  • Mentor less experienced colleagues and promote innovation.

Skills

Data & AI delivery
Stakeholder management
Cloud platforms
Agile methodologies
SQL
Python

Education

Bachelor's degree in a relevant field

Tools

Azure
AWS
GCP

Job description

Data & AI Delivery Specialist – London (Hybrid)

Our client is an established professional services and technology business helping organisations solve complex data, digital and operational challenges. Following continued growth and investment, they are expanding their London-based Data & AI capability and are looking to hire talented professionals across multiple experience levels.

You’ll join a collaborative and high‑performing team delivering large-scale transformation programmes that help organisations improve decision‑making, modernise data capabilities and unlock value through analytics and AI. The business is known for investing heavily in its people, providing genuine progression opportunities, exposure to modern technologies and the chance to work on high‑profile programmes across a variety of industries.

Responsibilities
  • Deliver large-scale Data, Analytics and AI transformation programmes
  • Engage with senior business and technology stakeholders to understand challenges and define solutions
  • Translate business requirements into practical data and technology strategies
  • Design and implement modern data platforms, pipelines and analytical solutions
  • Support the development of scalable cloud‑based data ecosystems using Azure, AWS or GCP
  • Develop data strategy, operating models and transformation roadmaps
  • Implement data governance, data quality and wider data management initiatives
  • Define AI and machine‑learning use cases that support business growth and innovation
  • Manage programme governance, planning, risk management and delivery activities
  • Collaborate with cross‑functional teams including Architects, Engineers, Data Scientists and Business Analysts
  • Apply agile delivery methodologies and best practices
  • Engage in business development, proposal support and client engagement activities
  • Mentor and support less experienced colleagues where appropriate
  • Identify opportunities to introduce innovative approaches, technologies and solutions
Benefits
  • Salary up to £75,000
  • Hybrid working model
  • Clear career progression opportunities
  • Ongoing training, certifications and professional development
  • Exposure to large‑scale transformation programmes
  • Access to modern cloud, data and AI technologies
  • Opportunity to work across multiple sectors and industries
  • Collaborative and supportive culture
  • Competitive pension and benefits package
  • Flexible working environment
Key Experience
  • Experience delivering Data, Analytics, AI or Digital Transformation initiatives
  • Strong stakeholder management, communication and presentation skills
  • Experience in project, programme or transformation delivery environments
  • Understanding of data management, data governance and data quality concepts
  • Knowledge of analytics, reporting and AI solutions
  • Understanding of data modelling and data architecture principles
  • Experience working with modern data platforms and cloud technologies including Azure, AWS or GCP
  • Exposure to data pipelines, data warehouses and analytical ecosystems
  • Familiarity with SQL, Python or similar technologies used for data analysis and automation
  • Experience working within Agile delivery environments
  • Strong analytical and problem‑solving skills
  • Ability to translate complex business challenges into practical, data‑driven solutions
  • Consulting, advisory or client‑facing experience is highly beneficial
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