Business Analyst
Listed on 2026-08-23
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IT/Tech
Data Analyst, IT Business Analyst, AI Business & Operations, AI Engineer (Applied/Software)
Working Pattern: Hybrid, includes 3 days each week in the office
Contract Type: Full time, permanent
Salary: Up to £80,000 per annum
At Tes we are on a mission to power schools and enable great teaching worldwide, by delivering EdTech solutions that give educators the tools to succeed. From safeguarding and compliance to staff and pupil management, our innovative and flexible software and services help teachers and school leaders worldwide to provide the best education to millions of children.
With more than 13 million educators in our community, combined with our working relationships with 25,000 schools in over 100 countries, we have been making a difference for over 100 years.
Role overviewThe AI & Innovation function is a newly formed department, being built from the ground up and tasked with driving practical AI adoption across a business serving over 25,000 schools and 13 million educators.
The team is small and technically deep: the Head of AI and Innovation and three Principal Engineers, each holding ownership of a technical pillar of the department’s roadmap. What the team does not yet have is structured capacity for requirements gathering, stakeholder analysis, adoption measurement, or the baseline-and-tracking work every pillar depends on. This role exists to close that gap and turn department pain points into scoped, evidenced opportunities.
You will own the measurement framework that proves whether initiatives are actually working, and to be the analytical counterweight to a team of senior engineers and AI specialists. The Business Analyst will work across every function in the business, sit inside a live three-month AI pilot from day one, and directly own the adoption-tracking and measurement pillar of the AI Hub’s own roadmap, and work with the Department Head to manage the departmental operations across all implementations and projects.
Key Responsibilities Discovery, Requirements & Opportunity Management- Own and maintain the Pain Points & Issues Register and the Opportunity Map as living documents, updating them as new discovery and stakeholder conversations happen, not as one-off deliverables
- Convert department pain points into scoped, evidenced opportunities using the department's value and feasibility framework
- Write PRDs, user stories and acceptance criteria for AI-enabled tools and features, working directly with the Principal Engineer who owns the relevant technical pillar
- Provide analysis support to whichever part of the department needs it most at a given time, consistent with the department's pull-based operating model
- Oversee the project management environment and dashboards of the department
- Own the tracking of how far each AI initiative has spread, from individual use through to genuine cross-department adoption, not just whether it exists
- Prototype automation frameworks with the engineering team to streamline this work and remove manual workloads wherever possible
- Capture baselines before any AI initiative goes live, and measure impact against those baselines afterwards
- Support the measurement framework for the current three-month AI pilot, including consumption, adoption and outcome-based impact across the pilot cohort, and then follow-on phases
- Work with the Department Head to manage project & departmental budgets and ensure metrics are live and initiatives remain commercially viable, and track ROI vs Spend
- Co-design the ROI and value-measurement framework with Finance and produce regular reporting for the Head of AI, the CFO and senior leadership
- Support the department's cost, impact and threat risk-tagging discipline on every initiative before it is built, not after - although we will measure estimates vs actuals after delivery
- Support Data Protection Impact Assessments for AI initiatives that process personal or sensitive data, working with Legal and Information Security
- Maintain the use-case inventory and risk tiering underpinning the department's governance framework
- Document AI processes, decisions and outcomes for audit and knowledge-management purposes
- Act as the analytical…
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