Principal Technologist - Data Analytics

We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work. Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.

We are looking for a Principal Technologist to lead the design and evolution of our best-in-class data science and analytics learning programmes. Our Principal Technologist will be a Data science and analytics domain knowledge expert who is passionate about

architecting modern learning experiences. This role combines deep technical expertise in modern data science and analytics, with high-level pedagogical leadership. You will lead the curriculum design that spans the full data lifecycle, with an explicit focus on Modern Data Analytics/science, specifically MLOps (operationalising analytics) and the use of Large Language Models to drive insights. You will ensure our content remains at the cutting edge by integrating these technologies into the learner journey for the Level 4 Data Analyst standard and L3 Data Technician standard. You will be responsible for its quality, relevance, performance, and continuous improvement. You will work across multiple stakeholders (commercial, product, LXD, clients, and delivery teams) to define, build, and deliver impactful learning experiences. You will also manage a small team of instructors/SMEs, ensuring high standards of execution and continuous development.

As a Principal Technologist at Decoded, you will be responsible for:

– Own the full lifecycle of a learning product: discovery, design, build, delivery, iteration, and optimisation

– Act as the subject matter authority in data science/analytics, ensuring technical accuracy, relevance, and industry alignment

– Leading the technical scoping and pricing for major bids in partnership with sales and operational teams.

– Define and uphold quality standards for all content, including technical correctness, clarity, and learner outcomes

– Proactively identify gaps, inconsistencies, or risks in content and resolve them end-to-end

– Partner with Product and Commercial teams to shape solutions that meet client and learner needs, leading the technical scoping for new programmes.

– Own relationships with internal stakeholders (LXD, Product, Delivery) and external client stakeholders

– Architecting the high-level technical narrative for Level 4 standards to ensure they remain at the cutting edge.

– Achieve teaching quality scores that meet or exceed quality indicators

– Leading sandbox validation and testing of new teaching technologies before they are rolled out to the wider faculty.

– Delivering high-value pilots and novel technical sessions for key clients.

– Decode and communicate complex concepts and principles with energy, focus and patience

– Facilitating the learning journey for your audience, and leaving no-one behind whilst also providing stimulation for advanced learners

‒ Learning about your learners and the businesses they work for

‒ Define and manage resources and assets for products and programmes you own, proactively filling gaps in your knowledge

‒ Maintaining a continual learning mindset and strive to advance your knowledge in your specialist domains

‒ Provide direct line management to instructors and SMEs, including goal setting, performance reviews, and ongoing career development planning.

‒ Foster a high-performance, inclusive team culture by addressing performance issues, recognising achievements, and promoting accountability and collaboration.

‒ Act as an escalation point for people-related matters, resolving conflicts, supporting wellbeing, and ensuring adherence to organisational policies and standards.

‒ Support resource planning and allocation, ensuring the team is effectively staffed, prioritised, and aligned with strategic objectives.

You will report into the Portfolio Director, Data Analytics, in the Product Department.