Coach - Data Driven Professional/Data Driven Leader

**Job Description:** Coach - Data Driven Professional/Data Driven Leader (DP3/DL3) - Data Technician Level 3 **Reports to**: Delivery Director **Location**: UK, Remote, with national travel as required **About Corndel** Corndel is a unique, multi award-winning UK management and technology training provider that focuses on delivering the highest quality programmes throughout an employee’s career. We partner with some of the UK’s largest and most exciting businesses to help drive organisational and personal performance through transformational learning. Our mission is to inspire people to think bigger and shape the future, and our vision is to expand minds and create a world of unlimited potential. We are one of the fastest growing companies in the UK and provide a great platform for proactive and motivated individuals to take the next exciting step in their career. You will be joining an organisation with a fun, entrepreneurial and supportive environment, providing fulfilling work and an open, informal culture. **Purpose of the Role** The DP3 Coach (Data Driven Professional & Leader) exists to help learners **build confidence in using data to inform decisions, generate insight, and drive tangible business impact**. In this role, you will coach, mentor, and teach learners on Corndel’s Level 3 data technician programmes, supporting them to move from data awareness to confident, practical application. You will help learners understand not just *how* to work with data, but *why it matters*, how to communicate insight clearly, and how to apply sound judgement when working with data in real organisational contexts. You will combine strong data capability with a coaching mindset — empowering learners to take ownership of their development, challenge assumptions, and apply data ethically and effectively in their roles. **Core Responsibilities** **Learner Coaching & Development** - Manage a caseload of learners, building trusted relationships through high quality coaching, mentoring, and structured teaching. - Deliver engaging one to one sessions and workshops that make data concepts accessible, relevant, and practical. - Empower learners to develop confidence with data by encouraging curiosity, critical thinking, and reflection. - Create an inclusive, psychologically safe learning environment where learners feel comfortable asking questions, testing ideas, and learning from mistakes. **Data Literacy & Insight** - Support learners to develop core data skills, including data preparation, analysis, visualisation, and interpretation. - Coach learners to use tools such as Excel, Power BI, and related platforms to generate meaningful insights and communicate them clearly. - Help learners connect data analysis to real business questions, decision making, and outcomes. - Model integrity and good judgement in how data is used, interpreted, and communicated, including awareness of data quality, bias, and ethical considerations. **Progress, Quality & Outcomes** - Guide learners through programme milestones, assessments, and portfolio development, ensuring consistent progress and timely completion. - Support learners to produce high quality, compliant evidence that genuinely reflects their capability and workplace impact. - Engage constructively with learners’ line managers to align learning with organisational priorities and support progression. - Take ownership for quality and compliance, balancing learner support with high standards and clear expectations. **Collaboration & Continuous Improvement** - Work collaboratively with colleagues across Operations, Product, and Curriculum to deliver a consistent and high quality learner experience. - Proactively identify opportunities to improve delivery approaches, learner engagement, and outcomes. - Stay curious and committed to continuous development, keeping up to date with data tools, practices, and ways of working that enhance learning. **Technical Skills & Experience** **Essential** - Practical e…