Engineering Manager handling application engineering responsibilities within the Ryan Software Division. Creating user experiences, managing teams, and driving positive team dynamics in software development.
About the role
- Lead a team of analytics engineers to enhance data modelling and delivery at Collinson. Collaborate across departments to ensure scalable and consistent data strategies.
Responsibilities
- Lead, mentor, and inspire a high-performing team of analytics engineers.
- Foster data craftsmanship by embedding standards, training, and structured career development.
- Co-own end-to-end data delivery from ingestion through to the analytical layer.
- Champion collaboration across data engineering, analytics, governance, and product teams.
- Define and implement best practices in data modelling, naming conventions, documentation, and business logic.
- Lead the creation of subject-area models and semantic layers that power reporting, AI, and personalisation.
- Drive traceability, clarity, and trust in analytical data products — ensuring consistent use across the business.
- Translate complex business concepts into elegant, reusable data assets.
- Shape and deliver against the Data & Analytics roadmap, ensuring scalable analytical engineering practices.
- Represent analytical engineering in cross-functional forums, advocating for consistency, lineage, and alignment.
- Partner with data governance, data science, and BI teams to ensure analytical assets support both operational and strategic insight.
- Influence platform decisions alongside technical peers, ensuring scalability and sustainability in design.
Requirements
- Proven leadership in analytics or data engineering teams within a modern cloud-based data platform.
- Strong foundation in data modelling principles, such as dimensional modelling and domain-driven design.
- Experience developing and governing semantic or analytical layers for enterprise analytics.
- Excellent communication and stakeholder management skills across business and technical teams.
- A deep passion for simplicity, clarity, and maintainability in data design.
- Proven ability to co-lead delivery and architecture with technical partners.
- Exposure to data contracts, metadata management, or governance frameworks (desirable).
- Experience supporting AI, machine learning, or personalisation use cases (desirable).
- Understanding of Agile delivery in modern data teams (desirable).
- Knowledge of how analytical engineering integrates into data product and self-service analytics strategies (desirable).
Benefits
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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