Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills.

Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable

performance.

In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group,

Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech

double unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling.

We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

THE OPPORTUNITY

AI can draft a lesson in seconds. It can't tell you whether that lesson will actually land with a nervous career-switcher three

weeks into a Data or AI apprenticeship — or whether the concept it just explained is subtly, but fundamentally, flawed.

That's where you come in.

You'll be the human judgement layer sitting on top of our AI-assisted content pipeline — part subject-matter expert, part

instructional designer. You'll decide what AI got right, fix what it didn't, and build the parts no AI can: the high-touch,

high-stakes, deeply human moments in a learner's journey that make the difference between content that's technically correct and

content that actually changes someone's career.

You'll have experience building content in Data Analytics and Data Science — not just someone who's read about it, but someone who

can explain it, question it, and know when the AI-generated explanation of tricky subjects is actually going to help a learner or

quietly confuse them.

WHAT YOU'LL ACTUALLY DO

Design outcomes, not just content. Apply end-to-end backward design to build Data programmes and content where success is

measured by what learners can do on the job — not just what they can pass a test on. You'll own the hardest part: turning a

job-aligned outcome into content that actually gets learners there.

Chase real-world impact, relentlessly. When a piece of learning isn't landing — when a Data Analyst cohort isn't showing the

outcomes it should — you won't wait to be told. You'll spot it, own it, and scope the revisions that bring it up to the

standard it needs to hit.

Build what AI can't. Design the custom, high-touch programmes and creative assets — branching narratives, bespoke multimedia,

high-stakes onboarding moments — that need real human empathy, creativity, and nuance. If AI could have built it, it's not your

job; if only a person could, it is.

Put AI to work, deliberately. Use AI tools and prompt engineering to accelerate your own content development and uncover

learning design approaches nobody's tried yet. This isn't about using AI because it's there — it's about knowing exactly where

it earns its place.

Advise up, not just build. Work directly with Programme Designers and senior stakeholders on the quality and pedagogical

effectiveness of the content you design. Your feedback doesn't stay in the room — it shapes how our rules, principles and

frameworks evolve.

Prototype for the long game. Lead new learning formats and modalities that don't exist yet — and know how to balance shipping

fast against building something sustainable enough to reuse.

WHAT YOU'LL BRING

Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that

prove learners hit them, not just theoretical frameworks on a CV.

A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real

outcomes, and you take the initiative to fix it.

Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new

applications in Data learning design.

The ability to take a genuinely complex Data Science or Analytics concept and design a learning experience around it that

actually works — for a range of different learner personas

The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement

— not just raise a concern and move on.

Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a

launch that missed the mark) and describe exactly what you did about it, and what you learned.

WHAT GETS YOU IN THE DOOR

You'll need at least one of these:

Hands-on experience producing technical content for Data Analytics or Data Science.

2+ years designing instructional content in a commercial environment or for commercial clients.

Plus one of:
A Data Science degree (or close cousin of one)
Completion of a technical apprenticeship in Data or AI
2+ years working as a practitioner in Data or AI

If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's

spent the last year deep in AI tools — either path can get you here. We're looking for the judgment, not a checklist.

WHAT WE'LL ACTUALLY EXPLORE TOGETHER

We're upfront about what our process looks for, because we'd rather you come prepared to talk about the real thing than guess what

we want to hear. Across the conversations, we'll dig into:

Advanced curriculum & applied design — how you turn an end-to-end backward-design process into measurable, job-aligned

outcomes, and how you build creative assets that genuinely need a human touch.

Impact & excellence — what you do when a piece of learning isn't hitting its real-world mark, and how you weigh speed against

building something built to last.

AI integration & innovation — where and how you've put AI tools and prompt engineering to work, and what that's actually

unlocked.

Influence & stakeholder management — how you've moved a curriculum forward through a genuine disagreement or feedback

conversation, not just delivered a good pitch.

Coachability & resilience — how you've handled a launch that didn't land, or a project blocker outside your control, and what

you changed as a result.

Benefits

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days

(M-Powered Weekend) and 8 bank holidays per year

Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness

resources through Wellhub and access to Spill - all in one mental health support

Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and

Instructors who collaborate in the office once a month

Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year

Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always

stocked!

Our Commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless

of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability,

gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy

here.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this

commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful

applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).

For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a

Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable

groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any

convictions, cautions, reprimands, and final warnings.

Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant

has been selected, and possible referral to the police and the DBS.

Roll

Technical Instructional Designer (Data Programmes)

Plats

London, Storbritannien

Publicerad

22 juli

Sista ansökningsdag

22 augusti

Källa

Arbetsgivarens hemsida

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Liknande jobb

Technical Instructional Designer (AI Programmes)

Multiverse•London

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. THE OPPORTUNITY AI can draft a lesson in seconds. It can't tell you whether that lesson will actually land with a nervous career-switcher three weeks into an AI apprenticeship — or whether the concept it just explained is subtly, but fundamentally, flawed. That's where you come in. You'll be the human judgement layer sitting on top of our AI-assisted content pipeline — part subject-matter expert, part instructional designer. You'll decide what AI got right, fix what it didn't, and build the parts no AI can: the high-touch, high-stakes, deeply human moments in a learner's journey that make the difference between content that's technically correct and content that actually changes someone's career. You'll have experience building content in generative and/or agentic AI — not just someone who's read about it, but someone who can explain it, question it, and know when the AI-generated explanation of tricky subjects is actually going to help a learner or quietly confuse them. WHAT YOU'LL ACTUALLY DO * Design outcomes, not just content. Apply end-to-end backward design to build AI programmes and content where success is measured by what learners can do on the job — not just what they can pass a test on. You'll own the hardest part: turning a job-aligned outcome into content that actually gets learners there. * Chase real-world impact, relentlessly. When a piece of learning isn't landing — when an AI practitioner cohort isn't showing the outcomes it should — you won't wait to be told. You'll spot it, own it, and scope the revisions that bring it up to the standard it needs to hit. * Build what AI can't. Design the custom, high-touch programmes and creative assets — branching narratives, bespoke multimedia, high-stakes onboarding moments — that need real human empathy, creativity, and nuance. If AI could have built it, it's not your job; if only a person could, it is. * Put AI to work, deliberately. Use AI tools and prompt engineering to accelerate your own content development and uncover learning design approaches nobody's tried yet. This isn't about using AI because it's there — it's about knowing exactly where it earns its place. * Advise up, not just build. Work directly with Programme Designers and senior stakeholders on the quality and pedagogical effectiveness of the content you design. Your feedback doesn't stay in the room — it shapes how our rules, principles and frameworks evolve. * Prototype for the long game. Lead new learning formats and modalities that don't exist yet — and know how to balance shipping fast against building something sustainable enough to reuse. WHAT YOU'LL BRING * Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that prove learners hit them, not just theoretical frameworks on a CV. * A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real outcomes, and you take the initiative to fix it. * Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new applications in learning design. * The ability to take a genuinely complex generative and/or agentic AI concept and design a learning experience around it that actually works — for a range of different learner personas * The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement — not just raise a concern and move on. * Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a launch that missed the mark) and describe exactly what you did about it, and what you learned. WHAT GETS YOU IN THE DOOR You'll need at least one of these: * Hands-on experience producing technical content for generative and/or agentic AI. * 2+ years designing instructional content in a commercial environment or for commercial clients. * Plus one of: * A Data or Computer Science degree (or close cousin of one) * Completion of a technical apprenticeship in Data or AI * 2+ years working as a practitioner in Data or AI If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's spent the last year deep in AI tools — either path can get you here. We're looking for the judgment, not a checklist. WHAT WE'LL ACTUALLY EXPLORE TOGETHER We're upfront about what our process looks for, because we'd rather you come prepared to talk about the real thing than guess what we want to hear. Across the conversations, we'll dig into: * Advanced curriculum & applied design — how you turn an end-to-end backward-design process into measurable, job-aligned outcomes, and how you build creative assets that genuinely need a human touch. * Impact & excellence — what you do when a piece of learning isn't hitting its real-world mark, and how you weigh speed against building something built to last. * AI integration & innovation — where and how you've put AI tools and prompt engineering to work, and what that's actually unlocked. * Influence & stakeholder management — how you've moved a curriculum forward through a genuine disagreement or feedback conversation, not just delivered a good pitch. * Coachability & resilience — how you've handled a launch that didn't land, or a project blocker outside your control, and what you changed as a result. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

Sista ansökan: 22 aug.Publicerad: 21 juli

AIGo

Data Portfolio Lead

Multiverse•London

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world-class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data-literate strategist who isn’t shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross-organisational decisions on how to maintain and improve programme retention and quality as we scale. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high-impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality-assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement. WHAT YOU’LL DO Portfolio Strategy * Data Product Roadmap: Own the development and iteration of a sub set of our Data product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention * Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning * Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities * Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required. Product Development, Launch & Iteration * Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning * Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience * Proactive Risk Mitigation: Identify and escalate risks to all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks. * Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients * Expert Credibility: Serve as the internal and external "voice of the data practitioner," building trust with technical leaders and stakeholders at all levels WHAT YOU’LL BRING * Data Domain Expertise: A strong background in data upskilling with an existing network of experts and sources you trust to help you stay at the cutting edge—you understand the difference between a data warehouse and a data lake, and you know which libraries or tools are currently (or soon to be) essential for the modern data stack in a range of customer types * Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements * Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a Chief Data Officer on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders * Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources * A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively * AI enabled practices: you are confident in building and using AI workflows to automate research, development and reporting tasks, and are excited about embracing AI to help you spend time on the tasks which most need your expertise PREFERRED SKILLS AND QUALIFICATIONS * Relevant industry experience: work experience in a data aligned field such as Data Science, Analytics or Engineering * Instructional Literacy: Experience with cohort-based or online content creation, specifically within technical or professional training Regulatory Knowledge: Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

Sista ansökan: 16 aug.Publicerad: 10 mars

AIRust

AI Portfolio Lead

Multiverse•London

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity The Portfolio Lead curates a world-class UK apprenticeship product set focused on AI upskilling. Working as one of two dedicated leads within our AI vertical, you are an AI-literate strategist who isn’t shy about your passion for how generative AI, agentic workshops and complex AI transformative initiatives are reshaping the workforce. You have a deep understanding of the AI tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross-organisational decisions on how to maintain and improve programme retention and quality as we scale. Given the pace of change in the wider policy sector, you will serve as an important internal voice on how we can respond to and influence the shape of new policy innovations such as apprenticeship units. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high-impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality-assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement. WHAT YOU’LL DO Portfolio Strategy * AI Product Roadmap: Own the development and iteration of a sub set of our AI product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention * Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning * Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities * Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required * Policy Influence: Support our Policy team to craft compelling responses to consultation requests and consider proactive initiatives to actively shape apprenticeship policy for your area Product Development, Launch & Iteration * Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning * Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience * Proactive Risk Mitigation: Identify and escalate risks to all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks. * Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients * Expert Credibility: Serve as the internal and external "voice of the data practitioner," building trust with technical leaders and stakeholders at all levels WHAT YOU’LL BRING * AI Domain Expertise: You bring a sophisticated background in AI upskilling, fueled by a network of experts that ensures you’re always ahead of the next big shift. You understand the infrastructure and tools needed to support modern AI - generative, agentic and beyond * Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements * Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a CIO on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders * Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources * A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively * AI enabled practices: you have experience building and using AI workflows to automate research, development and reporting tasks. You are excited about embracing AI to help you spend time on the tasks which most need your expertise PREFERRED SKILLS AND QUALIFICATIONS * AI Practitioner: you have significant technical proficiency in AI automation tooling and can speak from lived experience in designing learning for these tools * Instructional Literacy: Experience with cohort-based or online content creation, specifically within technical or professional training Regulatory Knowledge: Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

Sista ansökan: 16 aug.Publicerad: 24 apr.

AIRust