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
Internal Promotion (Analytics Consulting Manager)
3-5 years as an Analytics Consulting Manager (L5)Skills to master
- Mastering P&L ownership, developing a strong talent pipeline, building robust relationships with VP-level stakeholders, and consistently delivering strategic impact across multiple business units.
You're ready to move on when
- Successfully managed a team of managers and delivered £5M+ in documented annual impact.
- Consistently sought out by VPs for strategic advice and problem-solving.
- Demonstrated ability to lead organisational design changes within your function.
- Proven track record of developing and mentoring high-potential talent.
- 2
External Consulting Director/Partner
Coming from a Director or Junior Partner role at a top-tier management or analytics consulting firm (e.g., McKinsey, Bain, BCG, Accenture).Skills to master
- Adapting external client-facing skills to internal stakeholder management, navigating corporate politics, and building long-term internal capabilities rather than project-based solutions.
You're ready to move on when
- Extensive experience leading large-scale analytics transformations for Fortune 500 clients.
- Proven ability to manage multi-million-pound project budgets and large consulting teams.
- Strong track record of developing and selling strategic analytical solutions.
- Demonstrated ability to build trusted advisor relationships with C-suite executives.
- 3
Head of Analytics / VP Data at a Mid-Sized Company
Transitioning from a similar leadership role in a smaller, fast-growing company.Skills to master
- Scaling analytical operations, navigating a larger and more complex corporate structure, influencing in a more established environment, and managing a larger, more diverse team.
You're ready to move on when
- Successfully built and scaled an analytics function from scratch or significantly expanded it.
- Experience managing a full data lifecycle, from engineering to advanced analytics.
- Proven ability to drive business value through data in a growth-oriented environment.