Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures
Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches
Experience implementing robust data management, identity, security and governance for public sector and regulated environments, applying responsible AI principles
Proven ability to lead multiple, complex areas of work to time, cost and quality with minimal direction, managing large teams as the key point of escalation
Ability to partner with and influence senior stakeholders, navigating the political landscape of client delivery to achieve programme objectives
A track record of understanding the whole risk landscape and standing up multi-functional teams of SMEs to resolve issues
Recognised as a subject matter expert driving innovation and market-leading practices across multiple clients and industries
Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps
Experience mentoring engineers and architects, building capability in junior team members and client counterparts
You will be required to hold active SC clearance for this role.
Desirable skills
Public sector or regulated industry experience (government, healthcare or similar)
Experience with modern Azure data warehouse and lakehouse ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Azure Data Factory and Azure Data Lake Storage Gen2
Experience with Azure data integration and real-time analytics services, such as Event Hubs and Stream Analytics
Experience with Microsoft Purview, Microsoft Entra ID, managed identities and private connectivity patterns for governed enterprise data platforms
Experience integrating Azure data platforms with machine learning and AI capabilities, such as Azure Machine Learning and Microsoft Foundry
Familiarity with SQL and Python or Java
Experience with MLOps and Infrastructure as Code (Terraform or Bicep) for data, analytics and AI services
Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery
Microsoft Azure architecture certification, with a data or AI specialism beneficial
Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent)
Experience using AI or Agentic techniques in application of the role through GitHub Copilot, Claude Code, or equivalent.
Benefits
Along with a great company culture, Credera provides an exceptional compensation package (£82,000-95,000) including a competitive salary and a comprehensive benefit plan.
Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis.
Learn more
Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.
We are part of the OPM Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinise, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat. 


To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
