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B

Technical Business Coach

Back TO Work Portsoken
40,000 to 45,000
32 - 40 hour


Show Recently closed jobs

    B

    Technical Business Coach

    Back TO Work Portsoken
    40,000 to 45,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £40,000 to £45,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Dept: Service Delivery - Apprenticeships
    Contract: Hybrid
    Office (if hybrid): London / Manchester
    Hours / Days in Office: 37.5 hours / 4 days per year in office
    Salary: £40k-£45k
    Reports to: Head of Service Delivery

    About Us
    At Leep Talent, part of the Leep Group, we are committed to powering up potential for individuals and organisations through high-quality training, apprenticeships and professional development. As a collective of specialist training providers, the Leep Group works together to deliver a complete, people-first training solution, supporting learners and employers across the UK.

    Leep Talent specialises in IT, digital and HR training, delivering apprenticeships, skills bootcamps and short courses designed around real workplace needs. Our programmes are employer-led and focused on building practical skills, confidence and long-term career resilience. Key qualifications include recognised CIPD, CompTIA and Microsoft certifications, ensuring learners gain industry-relevant knowledge that makes an immediate impact.

    Across the Leep Group, we support over 20,000 learners each year, helping people at every stage of their career journey, from pre-employment and entry-level training through to upskilling and career progression. With a strong focus on accessibility and social impact, many of our programmes are 100% government-funded, removing barriers and creating opportunity for all.

    We believe the world of work is evolving, and real progress happens when organisations look beyond job titles and qualifications to focus on the whole person, their skills, strengths and ambition. That belief sits at the heart of everything we do.

    Together with our other brands across the Leep Group, Leep Talent provides a 360-degree, career-lifecycle approach to skills and workforce development, equipping learners to thrive and empowering employers to build future-ready teams.

    Position Overview

    As an AI & Technical Business Coach, you will support and develop apprentices and employers through AI, Data and Software Development focused apprenticeship standards and professional programmes. You will guide learners in applying AI tools, automation, and data-driven technologies within real business environments, ensuring they build practical capability alongside theoretical knowledge.

    You will work closely with employers to design structured development plans, aligning the implementation projects with apprenticeship requirements and business objectives. The role requires predominantly one-to-one coaching, supporting learners throughout their apprenticeship journey from onboarding through to end of programme.

    You will adapt coaching approaches to suit individual learning needs, encourage innovation, and bring practical business relevance to a structured curriculum.

    Responsibilities
    In common with all staff:

    To support the Leep Talent’s mission, vision, values, and strategic objectives

    To implement Leep Talent’s Equality and Diversity policies

    To take responsibility for one’s own professional development and participate in relevant internal and external activities

    To implement the Leep Talent’s health and safety policies and practices

    To contribute to Leep Talent’s commitment to continuous improvement as identified in Leep Talent’s quality assurance systems

    To be committed to Leep Talent’s safeguarding procedures and high priority to be given to the safeguarding of learners

    Technical Business Coach (Software Development, Data, IT Analysis & AI)

    Deliver structured coaching and skills development across Software Development, Data Analysis, and AI apprenticeship programmes, supporting the development of knowledge, skills, and behaviours

    Facilitate workplace learning and project-based application, guiding apprentices in applying coding, data analysis, and AI tools to real business challenges

    Conduct progress reviews, professional discussions, and formative assessments, ensuring portfolio evidence aligns with apprenticeship standards and End-Point Assessment requirements

    Provide technical teaching and targeted knowledge reinforcement, covering programming principles, data analysis methods, automation tools, and modern digital workflows

    Support apprentices in developing professional behaviours, including problem-solving, stakeholder communication, agile collaboration, and responsible use of data and AI technologies

    Coach learners in AI adoption and digital productivity, including generative AI, prompt engineering, automation tools, and data-driven decision-making

    Provide guidance in technical areas such as Python scripting, API integrations, data analysis, data visualisation, and low-code/no-code development

    Monitor learner progress using e-portfolio systems, action planning, and milestone tracking, ensuring strong engagement, timely completion, and measurable workplace impact

    Support apprentices in troubleshooting technical challenges, reviewing project work, and demonstrating measurable business value from AI and digital solutions

    Progress Monitoring & Assessment

    Monitor apprentice progress against apprenticeship standards and learning objectives

    Support portfolio development and documentation of implementation projects

    Prepare apprentices for mid and end of programme assessments

    Ask appropriately challenging questions that progressively build technical depth and commercial awareness

    Observe and assess practical demonstrations of application in business contexts

    Identify learners at risk and implement structured intervention strategies

    Liaise with IQA when projects are ready for quality assurance

    Employer Engagement & Business Impact

    Work collaboratively with employers to align projects to commercial objectives

    Support businesses in understanding the strategic value of projects

    Provide structured feedback on apprentice performance and business outcomes

    Act as a trusted advisor in responsible role exposure and adoption

    Compliance, Quality & Reporting

    Maintain accurate learner records in line with funding and compliance requirements

    Record activity within the OneFile e-portfolio system

    Complete coaching reports and formal progress reviews

    Report learner activity and risks to management in a timely manner

    Communicate effectively with Apprenticeship and Career Support teams

    Respond professionally to employer and learner feedback

    Collaboration & Continuous Improvement

    Work closely with trainers, IQAs, curriculum leads, and delivery teams

    Contribute to improving AI curriculum materials and coaching frameworks

    Share best practice in AI implementation and business coaching

    Stay current with emerging AI technologies and industry trends

    Professional Standards & Safeguarding

    Embed Maths and English Functional Skills where appropriate

    Deliver and embed topics including Safeguarding, Prevent, British Values, Equal Opportunities, and Health & Safety

    Identify learning barriers early and implement practical solutions

    Represent Leep Talent as a high-quality apprenticeship provider to learners and employers

    Candidate Requirements

    Skills & Experience

    Strong knowledge of digital and technical apprenticeship standards, particularly in Software Development, Data Analysis, and AI-related programmes

    Experience supporting the practical application of AI, software development tools, and data analysis techniques within business or project environments

    Understanding of software development practices including programming concepts, version control, debugging, testing, and the software development lifecycle

    Knowledge of data analysis processes, including data collection, preparation, analysis, visualisation, and interpretation to support business decision-making

    Familiarity with AI tools, automation platforms, and modern digital workflows, and the ability to guide apprentices in using these responsibly and effectively

    Awareness of AI adoption challenges within SMEs and enterprise environments, including governance, ethics, and operational integration

    Strong understanding of apprenticeship quality frameworks, including Ofsted expectations and the Apprenticeship Accountability Framework

    Ability to explain technical concepts such as programming, data analysis, and AI technologies clearly to learners and non-technical stakeholders

    Experience in coaching, mentoring, teaching, or assessing apprentices, supporting learner progress and workplace application of skills

    Excellent communication, stakeholder engagement, and learner support skills

    Strong organisation, planning, and time-management abilities, with experience managing multiple learners and review cycles

    Motivated, adaptable, and solution-focused, with a commitment to continuous professional development in emerging technologies

    Experience using OneFile or similar e-portfolio systems to track learner progress and evidence (desirable)

    Key Measurables

    * Timely Achievement

    * Overall Success Rates

    * Learner Retention

    * Employer & Learner Survey Results

    * Learners On-Track / Ahead-of-Track

    * OTLA Grade

    * IQA Grade

    * Demonstrated Business Impact from AI Projects

    Essential Qualifications / Experience

    * Teaching Qualifications (one of the following):

    * PGCE / CertEd / QTS or Level 4 Teaching Qualification / Level 3 Teaching Qualification

    * Level 3 Assessor Qualification

    Maths & English

    * English Level 2 or above

    * Maths Level 2 or above

    Technical Competency

    * Degree or higher in AI, Data, Computer Science, Digital, or related field

    Or:

    * Minimum 2 years relevant industry experience

    * Technical certifications demonstrating AI competence

    * Qualification at a level above what is being delivered

    IAG : Level 3 IAG qualification or above (Or working towards within first 6 months)

    Equal Opportunities

    Leep Talent is an equal opportunities employer and is committed to recruiting, appointing, and employing staff in accordance with all relevant legislation and best practice (Equalities Act 2010). Job vacancies are advertised online to ensure they are accessible to all members of the community. The recruitment and selection process is applied fairly and consistently to everyone applying for positions within Leep Talent.

    Any feedback on our approach to hiring is always welcome, please feel free to email our Chief Information Officer.

    This job description describes (but does not limit) the main duties and responsibilities expected to be undertaken by the employee. This is subject to change and variation by Leep Talent as is necessary to respond to the needs of the business.

    All roles at Leep Talent are subject to DBS Checks as part of our safer recruitment process and ongoing commitment to safeguarding all staff and learners in the business
    Salary description

    £40000.00 - £45000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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