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Higherin

Specialist (formerly Senior Assessment Leader) Review

at Pearson

Degree Apprenticeship

Business Operations, Data Analysis

London

Review Submitted: May 2026

Overall Rating

4.8 /5

The Overall Rating is the average of all the ratings given in each category. We take those individual ratings and combine them into one final score!

5/5 - Overview of Role
5/5 - Skills Development
4.6/5 - Structure and Support

Overview of Role

Please give an overview of your role and what this involves on a day-to-day basis:

5/5
I work as a Senior Assessment Leader within Pearson's End-Point Assessment (EPA) team, sitting within Enterprise Learning and Skills. My role centres on the end-to-end delivery & accountability of EPAs across several apprenticeship standards, including Sports Coach, Pharmacy, Data Analyst, Mammography Associate, Learning and Skills Teacher, as well as Sporting Excellence Professional (Football).
On a day-to-day basis, my responsibilities are quite varied. A large part of my time is spent coordinating assessment bookings and managing grade release timelines, working closely with training providers, employers, and apprentices to ensure assessments are delivered on time and to a high standard. I also oversee the recruitment, onboarding, and contracting of external assessment associates, managing their journey from application through to their first assessment and beyond.
Quality assurance is a key part of what I do, I work alongside Lead IQAs to arrange standardisation activities and ensure assessor consistency across standards. I manage assessor accounts and records on our assessment platform, ACE360, and act as the main point of contact for stakeholders when issues arise, whether that's resolving learner queries, handling escalations, or supporting assessors with logistics.
Beyond the operational side, I spend a significant amount of time on data analysis and reporting, using tools like Excel, SQL, Python, Tableau, and BigQuery to produce dashboards and reports that inform operational decisions. I've also taken on responsibilities around process improvement and automation, using Power Automate and Office Scripts to streamline manual workflows. I'm recognised within the team as an AI Ambassador and Copilot Champion, contributing to digital transformation efforts across the department.

To what extent do you enjoy your programme?

5/5
I genuinely enjoy the programme. One of the things I value most is the direct relevance of what I'm learning to my day-to-day role, it's not theoretical for the sake of it. Modules covering data analysis, SQL, Python, and visualisation tools like Power BI/Tableau have given me the confidence and technical grounding to take on more complex projects at work, such as building operational dashboards and automating reporting workflows. There's a real sense of progression when you can apply something from a lecture or assignment to a live business problem the same week/month.
The structure of the degree apprenticeship suits how I learn best. Having a dedicated study day each week gives me the space to properly engage with the material, and balancing academic work with a full-time role means I'm constantly seeing the practical application of concepts, which keeps things interesting and motivating.
I've also appreciated the broader perspective the programme has given me. It's pushed me to think more critically about how data is used in decision-making and has introduced me to tools and techniques I might not have explored otherwise. That curiosity has carried over into my professional development more widely, for example, completing additional certifications like Google's AI Prompting Essentials and getting more involved in digital transformation initiatives at Pearson.
If I'm honest, balancing work, study, and personal commitments can be challenging at times, but the programme makes it worthwhile because the content feels genuinely useful and applicable rather than just academic.

Skills Development

Have you learnt any new skills or developed existing skills?

5/5
On the technical side, I've developed significantly in Python and SQL, moving from a basic understanding to confidently using them for data wrangling, analysis, and automation in my role. I regularly write SQL queries in BigQuery to interrogate large EPA datasets and use Python for tasks like cleaning data, generating reports, and building reusable scripts. Tableau is another area where I've grown, I now design and maintain dashboards that support operational decision-making across the team, something I wouldn't have had the confidence to do before starting the programme.
Beyond the technical side, I've developed stronger skills in critical thinking and problem-solving. The programme has taught me to approach challenges more methodically, whether that's scoping a data project, mapping a business process, or evaluating the right tool for a task. I've also improved in stakeholder communication, particularly when it comes to translating data insights into clear, actionable information for non-technical audiences.
More recently, I've built skills around AI and automation, becoming an AI Ambassador and Copilot Champion within Pearson. That's involved developing AI-powered knowledge agents, designing semi-automated workflows for digital credentialing, and championing the use of tools like Microsoft Copilot across the department, all of which stem from the analytical mindset the programme has helped me cultivate.

Structure and Support

How well organised/structured is your programme?

5/5
The programme is well structured overall. The blend of academic modules and on-the-job learning is clearly mapped out, and having a dedicated study day each week, Thursdays currently, gives a reliable rhythm to the academic side. Modules are sequenced logically, building from foundational concepts in data and technology through to more advanced topics, which means each stage feels like a natural progression rather than a jump.
The apprenticeship framework itself is clear in terms of the Knowledge, Skills, and Behaviours (KSBs) I need to evidence, and I've found it straightforward to map my workplace activities against them. Assessments and deadlines are communicated well in advance, which helps with planning around work commitments.

How much support do you receive from your employer?

5/5
Pearson has been very supportive throughout the programme. My manager and wider team understand the commitment involved and respect my study day each week, which makes a huge difference. I'm given the space to apply what I'm learning directly in my role, whether that's taking on data projects, building dashboards, or leading process improvement work, and that's actively encouraged rather than just tolerated.
Beyond the day-to-day, Pearson invests in professional development more broadly. I've been supported to attend apprenticeship conferences, take part & lead in standardisation activities, and complete additional certifications like Google's AI Prompting Essentials. I've also been given opportunities to take on stretch responsibilities, such as becoming an AI Ambassador and Copilot Champion, which has accelerated my development well beyond what the programme alone would offer. The culture is genuinely one where learning and growth are valued.

How much support do you receive from your training provider when working towards your qualifications?

5/5
Manchester Metropolitan University has been supportive in providing the academic grounding I need. Lecturers are knowledgeable and approachable, and there are clear channels for getting help when I need it, whether that's guidance on assignments, clarification on technical concepts, or feedback on work in progress.
The support around assignment briefs and expectations is generally good, and I've found the feedback I receive on submitted work to be constructive and useful for development. There's also access to online resources and learning materials that complement the taught sessions well. Where I've occasionally needed to be more self-directed is in bridging the gap between the academic content and the specific tools or technologies I use at work, but that's arguably the nature of an apprenticeship, and the university provides a solid enough foundation for me to build on independently.

How well do you feel that your qualification (through your training provider) helps you to perform better in your role?

4/5
Very well. The qualification has had a tangible impact on how I perform in my role. The technical modules, particularly around data analysis, SQL, Python, and visualisation, have directly translated into real improvements in the work I deliver. I now produce operational dashboards, automate reporting workflows, and interrogate large datasets with a level of confidence that I wouldn't have had before starting the programme.
It's also shaped how I think about problems. I approach process improvement and project scoping more methodically, and I'm better at evaluating which tools and techniques are the right fit for a given task. The academic framework has given structure to skills I was already developing on the job, which has made me more effective and more credible when presenting data-driven insights to stakeholders. It's one of those programmes where you can genuinely see the return on investment in your day-to-day work.

Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)

4/5
Yes, Pearson offers a good range of opportunities beyond the core role. I've been involved in several professional development and networking activities, including attending the apprenticeship conference and participating in internal standardisation webinars, both of which have broadened my understanding of the wider assessment landscape.
There are also opportunities to get involved in cross-functional initiatives. I've taken on the role of AI Ambassador and Copilot Champion, which has connected me with colleagues across different departments working on digital transformation. Pearson runs internal knowledge-sharing sessions and encourages participation in communities of practice, which is a good way to build networks and learn from others outside your immediate team.
On the social side, there are team events and informal networking opportunities, though much of the collaboration happens virtually given the distributed nature of the team. Overall, if you're proactive about seeking them out, there are plenty of ways to get involved beyond your day-to-day responsibilities.

Recommendations & Advice

Would you recommend Pearson to a friend?

Yes

Why?

Yes, I would. Pearson is a genuinely good place to work if you value learning, development, and the opportunity to grow your career. Over the course of my time here, now over ten years, I've been given the space to take on new challenges, develop new skills, and shape my role in a direction that suits my strengths and interests. The culture around professional development is real, not just lip service, I've been supported through a degree apprenticeship, encouraged to pursue additional certifications, and given the opportunity to attend industry conferences.
It's also a flexible and supportive employer. There's a genuine openness to new ideas and ways of working, and if you're proactive about seeking out opportunities, whether that's leading projects, championing new tools, or getting involved in cross-functional initiatives, Pearson will give you the platform to do it. The work itself carries a strong sense of purpose, being rooted in education and assessment, which makes a real difference to how it feels day to day.

What tips or advice would you give to others applying to Pearson?

My biggest piece of advice would be to come prepared to show how you can add value, not just fill a role. Pearson values people who are curious, proactive, and willing to take ownership of their development. If you can demonstrate that you're someone who looks for ways to improve things, whether that's a process, a tool, or a way of communicating, that will stand out.
Be genuine in your application. Pearson's work spans education and assessment, so having a real interest in making a difference to learners and the quality of what we deliver goes a long way. You don't need to come from an education background, but showing that you understand and care about the impact of the work is important.
Finally, don't underestimate the value of soft skills. Stakeholder communication, problem-solving, and adaptability are just as important as technical ability. Pearson is a collaborative environment, and being able to work effectively with a wide range of people, from assessors and training providers to internal teams, is essential.
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