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Lana Lubko
Senior Manager, Data & AI Consulting
Lana Lubko is a Senior Manager in Data & AI Consulting, specialising in natural resources and mining. Her sector experience is grounded in extraction and heavy industry, where operational realities matter as much as the data — site visits and conversations with engineers have shaped how she assesses business priorities, helping her distinguish what matters in practice from what simply looks persuasive in a presentation.
About Lana Lubko
Her progression from individual contributor to leading large teams has given her first-hand experience of delegation, managing competing demands and responding thoughtfully under pressure. Alongside her consulting role, Lana co-leads the Analyst Community for her department, supporting the full early-career lifecycle — job descriptions, interviews, project matching, mentoring, career development and input into performance and promotion decisions.
This combination gives mentees a practical view of both consulting delivery and how early-career talent is assessed and supported. She can help you understand what Data & AI consulting involves beyond presentations, prepare for consulting interviews, position your experience for early-career opportunities, and navigate the move from individual contributor to team leadership.
She is especially suited to early-career professionals entering or progressing in Data & AI consulting, analysts and new consultants preparing for interviews or project matching, professionals interested in natural resources and mining, and individual contributors moving into leadership.
"How you come across matters more than what is on paper. Be enthusiastic, well-researched and show genuine interest — not only in the company, but in the person interviewing you."
Key expertise
- Data & AI consulting — Current senior management experience in the field, combining client work with team leadership.
- Natural resources and mining — First-hand consulting experience with extraction and heavy-industry clients.
- Operationally grounded problem-solving — Site visits and direct conversations with engineers inform her understanding of what matters to the business in practice.
- Leadership and delegation — Experience progressing from individual contribution to leading large teams and managing competing demands during a large-scale rollout.
- Early-career recruitment and development — Formal co-lead responsibility spanning job descriptions, interviews, project matching, mentoring, performance and promotion input.
How Lana Lubko can help
- Understand what consulting really involves — See beyond presentations to the operational context behind client priorities.
- Prepare for consulting interviews — Get guidance informed by direct experience of structuring and running interviews.
- Position your experience — Present your experience more clearly for early-career Data & AI consulting opportunities and project conversations.
- Evaluate the right projects — Work out which types of projects are most relevant to your skills and development goals.
- Navigate the move into leadership — Understand delegation and managing competing demands on your time as you move from individual contributor to team leadership.
- Improve how you respond under pressure — Learn to distinguish genuinely urgent issues from requests that allow time for a considered answer.
Who should book Lana Lubko
- Early-career professionals seeking to enter or progress in Data & AI consulting.
- Analysts and new consultants preparing for interviews, project matching or their early years in consulting.
- Professionals interested in natural resources and mining, seeking insight into consulting, data or analytics work for physical, operational industries.
- Individual contributors moving into leadership, working on delegation and increased responsibility.
- Consultants managing competing demands, strengthening prioritisation and communication under pressure.
Why Lana Lubko
- Sector-relevant experience — Senior consulting work with natural resources, mining, extraction and heavy-industry clients.
- Operational perspective — Direct exposure to sites and engineers, not only data, roadmaps and presentation materials.
- Inside view of early-career decisions — Hands-on involvement in recruitment, interviews, project matching, mentoring, performance and promotion decisions.