The pathway
How you actually get there, here
How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.
- 1
Lead, Learning Analytics & ROI (L4)
3-5 yearsSkills to master
- At this level, you'd have already mastered the technical aspects of designing complex measurement strategies, building robust data models, and presenting findings to senior stakeholders. You'd also have some experience informally mentoring junior team members and leading projects end-to-end.
You're ready to move on when
- Consistently delivering Level 4 impact analyses for major programmes with minimal supervision.
- Successfully influencing programme design based on data insights.
- Demonstrating strong project management skills for complex evaluation initiatives.
- Proactively identifying and solving data quality issues.
- 2
Senior Learning Impact Strategist (L3) from a larger organisation
5-8 yearsSkills to master
- While not directly managing a team, you'd have owned the measurement strategy for significant workstreams, made recommendations to leadership, and potentially mentored junior analysts. You'd be ready to step up into a formal management role.
You're ready to move on when
- Being the go-to person for complex evaluation design and data interpretation.
- Successfully leading cross-functional projects with significant data components.
- Receiving consistent feedback on your ability to influence and persuade with data.
- Actively mentoring junior colleagues and taking on informal leadership roles.
- 3
Manager, People Analytics or Business Intelligence (from another function)
3-6 yearsSkills to master
- You'd bring strong team leadership, advanced analytical skills, and experience in data storytelling from a related field. The key here would be quickly getting up to speed on learning methodologies (Kirkpatrick, Phillips ROI) and the specific context of L&D.
You're ready to move on when
- Proven track record of managing and developing a data-focused team.
- Expertise in advanced analytics and data visualisation tools.
- Strong business acumen and experience translating data into actionable insights for leadership.
- A genuine interest in learning and development, and a willingness to quickly learn the domain specifics.