Productivity Lead - Operational processes, Data and Technology

Productivity Lead - Operational processes, Data and Technology

Full-Time 52800 - 59000 £ / year (est.) Home office (partial)
AQA

At a Glance

  • Tasks: Lead initiatives to improve quality and efficiency using data and technology.
  • Company: Join AQA, a values-led organisation committed to diversity and inclusion.
  • Benefits: Enjoy flexible hybrid working, 25-30 days annual leave, and comprehensive benefits.
  • Other info: Be part of a supportive culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact by transforming operational processes and enhancing service delivery.
  • Qualifications: Experience with data analysis, Power BI, and process improvement is essential.

The predicted salary is between 52800 - 59000 £ per year.

Manchester: £52,800 to £59,000

Hybrid working - a minimum of 2 days per week in the office.

Use data, insight and continuous improvement to help AQA teams work smarter and deliver better outcomes. This Productivity Lead role is ideal for someone who can turn operational insight into practical change. You'll work with data and technology-enabled teams to identify where processes can be improved, test better ways of working and evidence the impact through measurable benefits. You'll play a key role in helping teams understand how data, tools and process improvements can reduce effort, improve quality and support better decision-making. Your work will help AQA continue to deliver for learners, schools and colleges in a way that is clear, consistent and efficient.

We are looking for 2 people:

  • Productivity Lead - Entries Results and Reconciliation team - you could be based in either the Manchester, Guildford or Milton Keynes office.
  • Productivity Lead - Standardisation Marking and Moderation team - you could be based in either the Manchester or Guildford office.

What's in it for you?

  • You will have the opportunity to use data and improvement thinking to shape how important operational work is delivered across AQA.
  • A role where your insight can directly improve quality, productivity and service delivery.
  • The chance to work with digital tools, data-led processes and cross-functional teams.
  • Exposure to senior stakeholders and the opportunity to influence how improvements are prioritised.
  • A 35 hour working week with flexible, hybrid working.
  • 25 days' annual leave, rising to 30, plus Christmas closure days.
  • A benefits package including a pension which could see a combined contribution of up to 18.5%, BUPA healthcare support, wellbeing programmes and volunteering opportunities.
  • Being part of AQA's inclusive and values-led culture, with the opportunity to join a variety of employee networks, including LGBTQ+, neurodiversity, empowering women, wellbeing, ethnic diversity and Interfaith.

In this role, you'll be responsible for:

  • Leading quality, productivity and efficiency initiatives across data or technology-enabled processes.
  • Using tools such as Power BI, advanced Excel or similar approaches to generate insight and support decision-making.
  • Identifying opportunities to improve workflows, quality controls, data assurance and process performance.
  • Supporting teams to test, implement and embed new systems, tools or ways of working.
  • Carrying out productivity analysis, including time-and-motion studies, to identify where effort can be reduced.
  • Tracking benefits, reporting outcomes and documenting process changes clearly.
  • Working with stakeholders across teams to build confidence, alignment and momentum for change.

You'll thrive in this role if you have:

  • Experience using data to understand performance, identify issues and recommend improvements.
  • Confident skills in Power BI, advanced Excel or similar insight and reporting tools.
  • Experience working with digital, operational or technology-enabled processes.
  • An understanding of quality controls, data assurance or process-driven environments.
  • Experience applying project and change management approaches to deliver improvements that stick.

You will do well in this role if you're comfortable working with data and people, and you can translate insight into clear, practical improvements.

Diversity and Inclusion Statement

At AQA, we are committed to fostering a workplace that celebrates diversity and promotes equity and inclusion. We believe that a diverse team brings richer perspectives and drives better outcomes. Our ED&I strategy ensures that everyone, regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation or background, is valued, respected and empowered to thrive. We actively promote inclusive language, avoid stereotypes and strive for representation across all dimensions of diversity. We welcome applications from individuals of all backgrounds and lived experiences.

What's Next?

Applications close at 23:59 on Monday 10 August. The recruitment process is expected to include a first-stage video interview in the week beginning 31 August, followed by a face-to-face interview with a presentation and values and experience based questions from the week beginning 14th September.

Productivity Lead - Operational processes, Data and Technology employer: AQA

AQA is an exceptional employer located in Manchester, offering a dynamic work environment where education specialists can thrive. With a strong focus on employee well-being, we provide generous benefits such as 25 days of annual leave and private medical insurance, alongside a hybrid working model that promotes work-life balance. Our commitment to professional development and community engagement ensures that you will have meaningful opportunities to grow and make a positive impact in the education sector.

AQA

Contact Details:

AQA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Productivity Lead - Operational processes, Data and Technology

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We think you need these skills to ace Productivity Lead - Operational processes, Data and Technology

Data Analysis
Power BI
Advanced Excel
Operational Insight
Process Improvement
Quality Controls
Data Assurance

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at AQA, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at AQA

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

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Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with AQA’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.