Principle Technologist - Data Analytics

About Decoded

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.

Overview

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.

Accountabilities

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

Subject Matter Authority: Acting as a primary internal authority for Data Science and Analytics, ensuring technical accuracy, relevance, and industry alignment across all programmes.

Product Ownership: Acting as the end-to-end owner of learning products, designing systemic educational solutions - such as internal AI tools or automated grading processes, to solve delivery challenges at scale.

Design: Designing, developing, and continuously improving high-quality, production-ready learning content

Teaching: Delivering engaging, high-impact workshops to adult learners in virtual classrooms

Line Management: Providing pedagogical coaching and line management to the Analytics team.

Commercial Leadership: Leading the pedagogical scoping and educational narrative for commercial bids, working alongside sales and operational teams to ensure technical deliverables are feasible.

Project Management: Managing the end-to-end delivery cycle of complex learning projects, ensuring all technical and pedagogical milestones are met.

Specific Roles & Responsibilities

Your specific responsibilities are:

Product Ownership and Domain Leadership

– 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.

Quality of facilitation

– 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

Line Management

‒ 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.

Team & Reporting Structure

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

Who are you?

Core Requirements:

– Experienced in designing and delivering technical learner-centric training programmes

– A data science / analytics subject matter expert with strong practical experience

– Confident coding in Python and familiar with AI copilots for code generation and AutoML python libraries

– Deep technical knowledge of the data analytics lifecycle, including advanced Python, SQL, and practical use of Large Language Models in Data Analytics

– Understanding how to teach the transition from basic code to production-grade analytics.

– Able to own complex workstreams independently, from definition through to delivery

– A strong communicator who can simplify complex ideas without losing accuracy

– Highly organised, detail-oriented, and reliable in execution

– Comfortable working across multiple stakeholders and priorities

– Always keen to learn, improve and stretch your own knowledge, skills and behaviours

Desirable Skills:

– Exposure to data engineering or software development practices

– Experience developing apprenticeship programmes

– Experience in line management or mentoring

– Experience with Excel, PowerBI, and Power Automate

– Familiar with semantic data modelling

– Experience with cloud-based platforms (AWS, Azure, or GCP) and familiarity with heavier technical engineering items such as Infrastructure as Code via Terraform or Large-scale Data tools like Spark.

What does success look like?

Your performance will be measured and driven by:

– Owning and delivering a high-quality, fully operational learning product that meets client and learner needs

– Consistently producing accurate, detail-oriented, production-ready content with minimal rework required

– Demonstrating attention to detail ensuring veracity and quality on all products you own and work on

– Successfully managing multiple stakeholders and delivering against agreed timelines

– Enabling learners to apply newly learned techniques to their professional environment

– Striving for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you

– Solving problems elegantly and creatively: “find a way or make a way”

A successful candidate will be expected to achieve the following within 3 months:

– Autonomous management of workshop delivery

– Autonomous ownership of learning content development deadlines

– An overall Facilitation CSAT score of 75%

Learning and Progression

We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.

Day to Day

This role can be delivered fully remote, provided the working location has consistently reliable Wifi for workshop delivery and up to 2 hours +/- GMT. The Decoded office in London Shoreditch is available for non-workshop delivery work. You will work from 9am - 5pm. When required, you may need to travel to your learners' workplaces to deliver in person workshops which are delivered in a variety of locations particularly in London and across Europe.

Salary: £60,000-£65,000

Apart from the above, working at Decoded means you’ll get:

— 33 days* leave per year (inclusive of bank holidays) and extra tenured holiday

enabling team members to gain an additional day for every year you are with us

(after the first 2 years) up to a maximum of 8. We also close the office for 2 full

weeks at Christmas at Decoded's discretion which does not come out of your

holiday allowance.

— Flexible working, including work-from-home

— Modern, flexible and fully serviced offices at WeWork in Spitalfields, London

— Company pension/retirement contributions

— Health care including dental, medical, and vision* and to help you prioritise your

wellbeing

— Travel insurance

— An array of social events and all company gatherings

— Continuous learning and development. You will be challenged with lots of

responsibility and exciting projects in an environment that encourages learning

— A work environment that values creativity, personal growth and collaboration

— Free monthly lunches

— Laptop and virtual work equipment kit provided

*Benefits may differ slightly depending on your location of residence.

Decoded is committed to safeguarding and promoting the welfare of young people, and vulnerable adults and expects all staff to share this commitment. All roles involving interaction with learners, or access to sensitive learner data, are subject to mandatory background clearances. Successful candidates will be required to undergo a DBS check; where the role meets the criteria for regulated activity, an Enhanced DBS check (including a barred list check) will be required prior to commencement of employment.

We also require 2 professional references that come from either of the following:
- Your HR department
- Current or previous manager
- Someone senior to you in the business