Data & AI Delivery Specialist - London (Hybrid) - Data Transformation - AI Programmes - Azure, AWS & GCP - Multiple Levels Available - Up to £75,000
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.
Whether you're looking to build upon your consulting experience, lead major workstreams or take ownership of complex client engagements, this is an excellent opportunity to accelerate your career within one of the fastest-growing areas of technology.
You Will Work With
- Delivering large-scale Data, Analytics and AI transformation programmes
- Engaging with senior business and technology stakeholders to understand challenges and define solutions
- Translating business requirements into practical data and technology strategies
- Designing and implementing modern data platforms, pipelines and analytical solutions
- Supporting the development of scalable cloud-based data ecosystems using Azure, AWS or GCP
- Data strategy, operating models and transformation roadmaps
- Data governance, data quality and wider data management initiatives
- AI and machine learning use cases that support business growth and innovation
- Programme governance, planning, risk management and delivery activities
- Cross-functional teams including Architects, Engineers, Data Scientists and Business Analysts
- Agile delivery methodologies and best practices
- Business development, proposal support and client engagement activities
- Mentoring and supporting less experienced colleagues where appropriate
- Identifying 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
Apply Now
If you're looking to work on complex data and AI transformation programmes whilst developing your career within a growing and innovative team, we'd love to hear from you.
This is an opportunity to join a business that is investing heavily in Data, Analytics and AI, offering exposure to high-profile projects, modern technologies and genuine career progression.
Apply now or send your CV directly. Interviews are being arranged and early applications are encouraged.
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