Transformation Manager

Overview

We’re looking for a dynamic Transformation Manager to join Ten Group. This broad and dynamic role has significant influence over the strategic direction of the company and is responsible for enhancing understanding, decision making, and execution across key areas of the business and operations. As the company grows, this high-impact role will lead transformation initiatives within a unit focused on Change and Transformation, driving adoption of new or emerging mission-critical processes and providing actionable insights through detailed analysis to identify opportunities for growth, automation, and operational efficiencies.

You will work on cutting-edge technology with a range of leaders within the business. The role is expected to grow, offering opportunities to develop into key managerial positions within Operations, AI Product or Technology domains. The Transformation Manager will support the Transformation Director and collaborate with senior leadership, including Clever executives, to analyze processes and identify opportunities to drive efficiency through enhanced output or automation.

You will drive and lead complex transformation projects from inception to completion, ensuring alignment with strategic objectives, clear communication of goals, effective stakeholder engagement, and continued measurement of ROI. This includes defining project scope, working across cross-functional teams, managing timelines and budgets, and delivering measurable outcomes that support organisational growth and operational efficiency. You may contribute to projects that leverage generative AI to integrate, automate, and enhance business processes.

You will be involved in initiatives ranging from transforming member engagement to developing frameworks that empower departments to operate more efficiently or to designing and launching services on new channels.

• Lead and manage end-to-end tech & AI-driven transformation projects, including planning, execution, and monitoring of progress.
• Identify areas for improvement and develop strategies to optimise business processes while evaluating potential return on investment.
• Collaborate with cross-functional teams to drive change and ensure successful implementation of transformation initiatives.
• Conduct detailed analysis of business operations, identify gaps, and propose innovative solutions, including automation and application of AI to drive workflow improvements.
• Monitor and evaluate the effectiveness of strategy, change or transformation initiatives, making adjustments as necessary.
• Analytics, reporting and instrumentation of the business: develop analysis, dashboards and KPIs to manage the business effectively and build data-driven decision-making capability.
• Operational analysis: understand workforce processes and identify opportunities for optimization, profitability across geographies, channels, or propositions to drive efficiencies.

• Bachelor’s degree in Engineering, Mathematics, Computer Science, or a related field.
• 3–5+ years of professional experience, ideally within a professional services environment (e.g., management consulting, investment banking, or accounting).
• Ambitious and motivated to design and lead change. You should join if you can contribute with high levels of ability, judgement, and commitment.
• High potential with aspiration and capability to grow into future leadership roles within the business.
• Highly numerate, inquisitive, and analytical, with the ability to translate complex data into clear, actionable insights.
• Strong ability to learn and adapt to new technologies, processes, and business areas with curiosity to understand how things work.
• Ability to see the bigger picture and derive strategic insights from numerical analysis.
• Self-driven and resilient, comfortable operating in ambiguous or evolving environments with multiple priorities.

• Data Visualization Tools:
  Tableau, Power BI, Qlik View, or Looker.
• Data Transformation & Querying
  
  Languages:
  
  SQL, M Code, DAX, or similar.
• Automation
  
  Languages:
  
  Python, Java, C#, R, or similar.
• Automation Tools:
  Power Automate, UiPath, Blue Prism, Alteryx,…