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About the Role
You will take ownership of buy-side and sell-side Technology Due Diligence and AI Due Diligence workstreams, from scoping through final readout, for private equity investors, portfolio companies and management teams. You will assess business models, market positions, operating models and technology landscapes, testing management claims against evidence, metrics, costs and technical documentation. You will evaluate architecture, cloud, infrastructure, applications, data, integrations, software delivery, cybersecurity, resilience and technology operations for scalability, defensibility and performance. You will assess AI maturity, use cases, data and model foundations, AI engineering, governance, agentic AI potential and the credibility of claimed differentiation. You will identify deal-relevant risks, technical debt, remediation needs, investment implications and technology value creation opportunities; translating them into clear recommendations and post-transaction roadmaps. You will lead management interviews, expert discussions, workshops and technical deep dives, and coordinate specialists across technology, AI, data, operations, cybersecurity and commercial topics. You will present concise, evidence-based conclusions to investment committees, investors, CEOs and senior management, building trusted relationships with technical and non-technical stakeholders. You will lead and coach project teams, deliver high-quality outputs under tight transaction timelines, and contribute to pitches, business development, due diligence methodologies and OMMAX intellectual property.
Responsibilities
- Take ownership of buy-side and sell-side Technology Due Diligence and AI Due Diligence workstreams.
- Assess business models, market positions, operating models and technology landscapes.
- Evaluate architecture, cloud, infrastructure, applications, data, integrations, software delivery, cybersecurity, resilience and technology operations.
- Assess AI maturity, use cases, data and model foundations, AI engineering, governance, agentic AI potential and credibility of claimed differentiation.
- Identify deal-relevant risks, technical debt, remediation needs, investment implications and technology value creation opportunities.
- Translate findings into clear recommendations and post-transaction roadmaps.
- Lead management interviews, expert discussions, workshops and technical deep dives.
- Coordinate specialists across technology, AI, data, operations, cybersecurity and commercial topics.
- Present concise, evidence-based conclusions to investment committees, investors, CEOs and senior management.
- Build trusted relationships with technical and non-technical stakeholders.
- Lead and coach project teams.
- Deliver high-quality outputs under tight transaction timelines.
- Contribute to pitches, business development, due diligence methodologies and OMMAX intellectual property.
Requirements
- 8+ years of experience in Technology Due Diligence, technology consulting, digital transformation, technology leadership, private equity value creation or a comparable field.
- Substantial hands-on experience conducting and/or leading Technology Due Diligence on buy-side and sell-side transactions.
- Substantial hands-on experience conducting AI Due Diligence covering strategy, use cases, data foundations, engineering, governance and value potential.
- Direct experience working with private equity investors, investment teams, operating partners, CEOs, CFOs, CIOs and CTOs.
- Broad business and technology experience, connecting business models, value drivers and operating models with technology implications.
- Understanding of technology strategy, enterprise architecture, cloud, applications, data, cybersecurity, software delivery and emerging technologies.
- Familiarity with agentic AI, orchestration, governance, security and access control.
- Ability to distinguish genuine technology or AI differentiation from standard vendor capabilities and unsubstantiated claims.
- Ability to turn complex evidence into credible, pragmatic recommendations.
- Experience across several industries and/or business models.
- Ability to quickly adapt to different companies and transaction contexts.
- Excellent conceptual, analytical and investigative skills.
- Sound judgment under time pressure.
- Confidence in ambiguous situations.
- Ability to communicate and present complex technology and AI topics clearly to non-technical stakeholders.
- English proficiency is mandatory.
- Willingness to travel in line with client and transaction requirements.
Skills
- Technology Due Diligence
- AI Due Diligence
- Scoping
- Business model assessment
- Market position assessment
- Operating model assessment
- Technology landscape assessment
- Architecture evaluation
- Cloud evaluation
- Infrastructure evaluation
- Application evaluation
- Data evaluation
- Integration evaluation
- Software delivery evaluation
- Cybersecurity evaluation
- Resilience evaluation
- Technology operations evaluation
- AI maturity assessment
- AI use case assessment
- AI data foundation assessment
- AI model foundation assessment
- AI engineering assessment
- AI governance assessment
- Agentic AI potential assessment
- Risk identification
- Technical debt identification
- Remediation needs identification
- Investment implication identification
- Technology value creation opportunity identification
- Recommendation development
- Post-transaction roadmap development
- Management interview leadership
- Expert discussion leadership
- Workshop leadership
- Technical deep dive leadership
- Specialist coordination
- Presentation delivery
- Stakeholder relationship building
- Team leadership
- Team coaching
- Project management
- Business development
- Due diligence methodology development
- Intellectual property contribution
- Conceptual skills
- Analytical skills
- Investigative skills
- Judgment
- Communication
- Presentation
- Technology strategy
- Enterprise architecture
- Emerging technologies
- Agentic AI
- Orchestration
- Security
- Access control
Location
- Munich
- London
- Amsterdam
- Milan
- Paris
- Berlin
Work Type
- Hybrid
Experience Level
- 8+ years of experience
Salary/Compensations
- Attractive salary packages
- Participation in sales success
Benefits
- Exclusive investment opportunities
- 'Digital Leaders of Tomorrow' program
- Wide range of development opportunities
- Opportunity to shape individual career
- Flexible working model
- Regular team events
- Joint sports sessions
- Attractive company pension scheme
- Access to local fitness and wellness partnerships
- Mobility allowances
- Meal allowances
- Wide range of other company benefits
About the Company
- OMMAX – Building Digital Leaders is a digital strategy consultancy based in Europe.
- Specializes in sustainable digital value creation in over 50 countries.
- Caters to mid-sized companies, large enterprises, and >50 private equity firms.
- Composed of >400 international experts.
- Has >2.000 realized projects in digital strategy, digital operational excellence, data science, and transaction advisory services.
- A front-runner regarding holistic data-driven strategy consulting and end-to-end execution of digital solutions.