Data & Analytics Manager

Manager in Data Engineering/ Analytics

You’ll guide teams in building modern data infrastructure through cloud-native platforms and ensure SLAs/KPIs are met for our AMS clients, while empowering consultants to thrive and grow. As a trusted escalation point and practice leader, you'll uphold our high consultancy standards, foster a collaborative team environment, and contribute to strategic business development.

Key Responsibilities:

Project Delivery (Data Engineering Focus)

• Support end-to-end delivery of data engineering projects (Databricks, Snowflake) —data platforms, pipelines—ensuring they meet commercial, quality, and timing goals.
  
• Oversee AMS processes, ensuring all SLAs and KPIs are met or exceeded.
  
• Ensure best practices are followed in governance, service delivery, and team leadership.
  

Consulting Mindset

• Shape proposals and accelerators in data engineering—e.g., reusable ingestion frameworks, ELT templates, infrastructure-as-code solutions.
  
• Act as a strategic partner to clients, advising on data platform strategy, architecture, and modernisation roadmaps.
  

Client Engagement & Relationship Management

• Cultivate relationships with data and technology leaders, understanding their strategic data challenges.
  
• Guide clients through complex decisions around platform design, tooling selection, and scalability.
  
• Translate successful deliveries into ongoing partnerships and multi-phase platform engagements.
  

Collaboration & teamwork

• Lead, mentor, and grow a team of data engineers, ensuring continuous professional development and technical excellence.
  
• Foster a culture of collaboration, innovation, and accountability.
  
• Partner with other practices to deliver integrated, cross-functional solutions.
  

Operational Excellence

• Set portfolio-wide KPIs and monitor timing, cost, and quality objectives.
  
• Monitor and enforce timing, cost, and quality delivery objectives.
  
• Proactively resolve escalations before they affect outcomes.
  

Required Qualifications:

• Bachelor’s or Master’s in a related technical field.
  
• Minimum 10 years of experience as a Manager, Senior Data Consultant or Senior Data Engineer.
  
• Knowledge of ITIL and AMS delivery processes.
  
• Proven experience in team management and people leadership.
  
• Excellent stakeholder and problem-solving abilities
  
• Excellent oral and written communication abilities
  

Preferred Qualifications:

• Solid understanding of data warehousing, ETL, and data modelling principles.
  
• Understanding of data visualization and reporting tools such as Tableau or Power BI.
  
• Strong communication skills and the ability to work effectively in a team environment.