Data is the foundation for innovation, competitive advantage, and strategic decision-making. Yet for many businesses the reality is complex — mergers, acquisitions, legacy systems, and fragmented environments mean organisations are struggling to layer digital innovation on disorganised foundations.
You can't drive AI, automation, or next-gen strategy without first getting your data in order. At The Consultancy Group, we connect businesses with data leaders who do more than analyse numbers — they untangle complexity, shape strategy, and future-proof operations.
Data Recruitment Challenges We Solve
- Strategic Data Leadership: Sourcing Chief Data Officers, Heads of Data, and Data Transformation Leads who align data strategy with core business goals.
- AI, ML & Advanced Analytics: Recruiting specialists in machine learning, AI, predictive analytics, and deep learning to accelerate innovation.
- Unstructured Data Management: Finding experts who turn unstructured data into commercial insight, enhancing decision-making and operational efficiency.
- Data Governance & Compliance: Placing leaders who drive secure, compliant practices under GDPR, HIPAA, and emerging AI regulations.
- End-to-End Data Transformation: Connecting businesses with data architects, engineers, and analysts who design scalable, future-proof ecosystems.
Our Expertise in Data Recruitment
Working with a specialist data agency offers business leaders unparalleled access to a rare network of professionals who bring not just technical expertise but strategic insight. As challenges and the need for cultural fit grow, our close relationships with industry-leading candidates ensure we source the people who can navigate digital transformation across sectors.
Our appointments span technology, fintech, defence, media, and payments — covering CTO, CDO, ML Platform Engineer, AI Data Engineer, and Head of Data roles.
Past Successful Data Appointments
| Sector | Role | Mandate | Deliverables |
|---|---|---|---|
| Fintech (AI) | CTO | Raise funding and drive product innovation and customer growth | Executed a successful funding round and elevated the product for broader market adoption |
| Fintech (AI) | ML Platform Engineer | Deliver niche ML expertise to meet client deadlines | Built and optimised core components of the platform, ensuring scalability |
| Defence & Manufacturing | AI Data Engineer | Help configure the processing architecture of a radar system | Developed and implemented advanced AI solutions, expanding into new defence sectors |
| FMCG | Finance Data Analytics Lead | Build a data team within a finance function | Established the foundation of a scalable analytics function, driving improved financial insights |
| Payments | Head of Data | Growth mindset combining data and commercial | Implemented data-driven strategies that boosted revenue and enhanced operational efficiency |
Key Challenges in the UK Data Landscape
Data leaders face a complex landscape — cloud migration, IoT, real-time analytics, no-code platforms, and the rise of AI all reshape what good looks like. The leaders who deliver combine deep technical fluency with commercial and strategic instincts.
Where data leaders drive change:
- Cloud Migration: Navigating data security, IAM, residency, and legacy integration in cloud transitions.
- AI & Automation: Leaders deploying real-time streaming (Kafka, Dataflow, Kinesis) and AI-driven decision-making.
- IoT & Edge Analytics: Specialists handling distributed computing and real-time analysis at the data source.
- No-Code & Low-Code Platforms: Democratising data across the business while freeing specialists for higher-impact work.
- Data Storytelling: Tableau, Power BI, and visualisation skills that translate insight into decision.
Speak to a Specialist
Contact us to connect with the data and AI talent held in our deep and established network — many executive-level opportunities are confidential and never listed publicly.
Christian co-founded The Consultancy Group and has spent decades helping executive teams navigate serious change. His expertise sits at the intersection of strategy, finance and transformation — and he brings a point of view on capability structure that goes well beyond filling a vacancy. He works at the most senior level across all three practices.
Frequently Asked Questions
Why work with a specialist data recruitment agency?
Specialist agencies offer access to a curated network of highly skilled professionals who are notoriously difficult to recruit. With demand for data talent outpacing supply, finding individuals who possess deep technical expertise and can align data strategy with business objectives is a real challenge. We streamline hiring by focusing on cultural fit and long-term goals, ensuring candidates make immediate and lasting impact.
What is the typical time to hire for data roles?
With our focused approach and extensive pipeline, we can often present candidates for data and engineering roles within 48 hours. For more senior or specialised permanent positions the timeline is typically 4–6 weeks, balanced against the need for the right fit.
What kinds of data roles exist in business today?
Roles span a broad range — Data Scientists, Data Engineers, Heads of Analytics, Machine Learning Engineers, and Business Intelligence Analysts at the specialist level, and Chief Data Officers and Heads of Data at the leadership level. The field increasingly demands expertise in AI, machine learning, and unstructured data, alongside an understanding of how to leverage data for strategic decision-making.