Collinson Group - Analytical Engineering Manager

Description :

Key Responsibilities :

- Lead, mentor, and develop an analytical engineering team focused on modelling standards, quality, and reusability.

- Partner with the Principal Data Engineer to co-own end-to-end data delivery from foundational pipelines through to analytical data layers.

- Shape career growth, training, and performance pathways that develop deep data craftsmanship within the team.

- Foster a culture of collaboration between data engineering, governance, and analytics aligning priorities through shared objectives.

- Define and embed best practices in data modelling, including standards for naming, documentation, and business logic representation.

- Lead the design of subject-area models and data contracts that form the foundation for reporting, AI, and personalization.

- Champion the evolution toward a semantic and governed analytical layer, ensuring traceability from raw data to business outcomes.

- Partner with Product, Analytics, and Technology teams to translate business concepts into consistent, reusable data assets.

- Maintain high standards of quality and simplicity in data design prioritizing clarity, trust, and performance over complexity.

- Work hand-in-hand with the Principal Data Engineer to align platform evolution, modelling standards, and delivery governance.

- Contribute to the Data & Analytics strategy and roadmap, ensuring analytical engineering practices scale with Collinsons data ambitions.

- Represent analytical engineering in cross-functional forums, advocating for trusted data, lineage, and definition alignment.

- Partner with Governance, Data Science, and BI teams to ensure analytical models meet the needs of both operational and strategic insight.

Knowledge, skills and experience required :

Essential :

- Proven experience leading data or analytics engineering teams within a modern cloud data platform.

- Deep understanding of data modelling principles, including dimensional and domain-driven design.

- Experience shaping and governing semantic or analytical layers that underpin enterprise analytics.

- Strong partnership skills particularly in co-leading design and delivery alongside technical peers (e.g., Principal Data Engineer).

- Excellent communication and stakeholder management across business, data, and technology teams.

- A passion for quality, maintainability, and clarity in analytical data design.

Desirable :

- Exposure to data contracts, metadata management, or data governance frameworks.

- Awareness of analytics enablement in AI-driven or personalization contexts.

- Experience working with agile data teams balancing short-term delivery with long-term architecture.

- Understanding of how analytical engineering integrates into data product, ML, and self-service strategies