Roland Berger's Technology practice is a growing practice with a small team working across Enterprise Software, Consumer Tech, Cloud & Infrastructure. In Roland Berger interviews, Technology cases draw on 4 common case types, including saaS pricing and packaging strategy and platform growth and monetization. Industry knowledge is helpful but not required for these interviews.
Practice Strength
Growing Practice
Practice Size
Small
Case Types
4 common
Industry Knowledge
Helpful
About Technology, Media & Telecommunications
The technology sector spans software, hardware, cloud computing, artificial intelligence, telecommunications, and media. It is characterized by rapid innovation cycles, network effects, and significant platform economics.
Sub-sectors
Enterprise SoftwareConsumer TechCloud & InfrastructureSemiconductorsTelecommunicationsMedia & Entertainment
Current Hot Topics
•Generative AI monetization
•Cloud migration and optimization
•Cybersecurity threat landscape
•5G monetization and 6G standards
•Streaming platform profitability
•Tech regulation and antitrust
Roland Berger's Position in Technology
Roland Berger is actively investing in building its Technology capabilities.
As a growing practice, there are opportunities for consultants to help shape the direction and build client relationships. This can be an exciting path for those with genuine interest in Technology who want to be part of building something.
Types of Technology Work
Roland Berger's Technology practice typically works on:
SaaS pricing and packaging optimization
Cloud transformation and migration strategy
Platform business model development
Tech M&A due diligence and integration
AI and automation strategy
Interview Expectations
Candidate-Led Format
Roland Berger uses an candidate-led case format. Candidate-led cases with European and industrial focus. Cases often involve restructuring, operations, and corporate transformation scenarios.
Industry Knowledge Requirements
While not required, demonstrating awareness of Technology trends and terminology is beneficial.
Common Technology Case Types
SaaS pricing and packaging strategy
Platform growth and monetization
Tech company market entry
Telecom infrastructure investment
Career Path in Technology
Exciting opportunity to help build the practice and shape its direction.
Exit Opportunities
Consultants from Roland Berger's Technology practice commonly move to:
1Tech companies (strategy/ops)
2Venture capital
3Tech startups (founder or executive)
4Product management roles
5Tech-focused PE
Practice Technology Cases
Get realistic practice with voice-powered case simulations featuring Technology scenarios.
Do I need Technology experience to join Roland Berger's Technology practice?
Roland Berger's Technology practice is growing. Prior experience in Technology can help differentiate your candidacy, but generalist consultants can also join through demonstrated interest. Strong problem-solving skills remain the primary requirement.
What types of cases does Roland Berger do in Technology?
Roland Berger's Technology work typically includes: saas pricing and packaging strategy, platform growth and monetization, tech company market entry, and telecom infrastructure investment. The practice focuses on select high-impact engagements.
What are exit opportunities from Roland Berger's Technology practice?
Consultants from Roland Berger's Technology practice commonly exit to: Tech companies (strategy/ops), Venture capital, Tech startups (founder or executive). Roland Berger alumni are well-regarded in the Technology sector, and the firm's brand combined with industry expertise creates strong career optionality.
Is Roland Berger a leader in Technology consulting?
Roland Berger is actively growing its Technology practice. While it's not yet among the largest players, the firm is investing in building capabilities and has strong potential for consultants interested in helping build the practice.
What should I expect in interviews for Roland Berger's Technology practice?
Interviews for Roland Berger's Technology practice follow the standard candidate-led case format. While technical knowledge isn't required, demonstrating familiarity with industry trends and terminology is beneficial. Current hot topics like generative ai monetization or cloud migration and optimization may appear in cases or conversation.