Principal Advisory Consultant

Copenhagen Apply now Details Type of contract: Permanent Location(s): Copenhagen Language(s): English Mobility: N/A Application Deadline: Principal Consultant - AI & Data Advisory The Role: NNIT is strengthening its Advisory & AI capability to help life sciences clients turn AI and data ambition into measurable business outcomes. We are looking for an experienced management consultant with strong commercial capabilities who can originate opportunities, advise senior executives, shape compelling transformation agendas, and convert them into high-value client engagements. Technology understanding is required, but the primary mandate is management consulting, commercial growth and trusted executive advisory. The role sits in AI & Data Advisory under Advisory & AI and works across R&D, Manufacturing, Supply Chain and cross-functional regulated capabilities. It is a client- and market-facing management consulting role that opens and support senior conversations, frames business value and creates demand. The role then connects qualified opportunities to NNIT domain and technology specialists, including our AI Factory in the Philippines, without being expected to act as the lead technologist or solution architect. However, the person should be able to drive projects as engagement manager as well. Your responsibilities as Principal Consultant - AI & Data Advisory: Deliver and manage senior AI & Data advisory engagements: Deliver senior management consulting engagements covering AI strategy and governance, AI readiness, data and analytics strategy, AI-enabled quality and continuous improvement, transformation programs, and AI-enabled operating models. Frame the business choices, organizational implications, investment priorities and value case. Deliver and develop AI & Data Advisory offerings: Position, sell and deliver NNIT’s portfolio of AI and data management consulting offerings. The AI Value Compass is one example. Use client engagements, market insight and commercial experience to provide structured input to the development, refinement and scaling of additional offerings. Facilitate executive discovery and decision-making, assess opportunities and readiness, prioritize value pools and translate outcomes into board-ready narratives, business cases, roadmaps and clear next steps. Convert advisory into implementation and measurable value: Use advisory engagements and the broader offering portfolio to create credible follow-on opportunities across transformation, implementation, validation and managed services. Maintain senior client sponsorship and commercial continuity while appropriately handing technical design and execution to the relevant specialists. Bridge clients, domains and the AI Factory: Act as the commercial and consulting bridge between client executives, NNIT business areas and AI delivery capacity in the Philippines. Translate business priorities into a clear engagement scope and value case, bring in architects and technical specialists at the right time, and retain accountability for the client relationship, commercial outcome and realized value. Shape AI and data solutions across Life Sciences: Work across Clinical, Regulatory, Manufacturing, Supply Chain, Quality and other regulated areas to identify strategically important client problems and shape crosscapability responses. Use sufficient AI and data understanding to challenge, qualify and explain solutions, while drawing on NNIT specialists for technical depth. Drive commercial growth with Sales and other Business Areas: Carry a clear commercial mandate to originate and qualify opportunities, build executive relationships, shape client demand, lead proposals and RfPs, develop Statements of Work and commercial cases, and convert advisory entry points into larger multi-service relationships. Contribute directly to pipeline, bookings, revenue and account growth. Strengthen repeatable offerings and assets: Actively contribute to the development and commercialisation of new AI and data advisory offerings. Bring recurring client needs, market insight and delivery experience into offering design; help test propositions with clients; and refine methods, executive workshop formats, commercial narratives, pricing logic and reusable assets in partnership with domain and technology specialists. Represent NNIT in the market: Build executive credibility through client events, industry forums, thought leadership and strategic partnerships, positioning NNIT around business outcomes, regulated execution and responsible AI. Line-manage and develop consultants: Act as line manager for a small team of consultants, with responsibility for regular one-to-ones, performance and development conversations, staffing input, coaching and creating clear expectations. Support consultants in executive advisory, problem structuring, value-case development, commercial shaping and account development. What You Will Work On Typical management consulting engagements may include:

• AI strategy, governance and readiness assessments for regulated life sciences organizations
• AI and data strategy, discovery, and value-assessment engagements, including e.g. the AI Value Compass as one available offering, followed where relevant by transformation or value-realization programs
• Data and analytics strategy, data readiness and trusted data foundations for AI
• AI-enabled Quality, risk, knowledge and continuous-improvement initiatives
• Agentic workflows and AI-enabled operating model design, with appropriate human oversight and governance
• Client-specific AI and data solutions delivered with NNIT domain specialists and the AI Factory

Your Qualifications And Experience:

• 10+ years of management consulting experience, preferably from a recognized strategy, management or technology consulting firm, with a strong record in life sciences or other regulated industries. Senior
• Principal candidates should demonstrate broader C-level relationships, substantial commercial ownership and account growth, together with experience managing and developing consultants.
• Proven management consulting toolkit: hypothesis-led problem solving, executive interviewing and facilitation, operating model and transformation design, quantitative value-case development, and concise board-level storytelling.
• Sufficient understanding of AI strategy, responsible AI and governance, data strategy, analytics, GenAI and agentic approaches to advise executives, challenge assumptions and work credibly with specialists. Deep hands-on engineering or architecture expertise is not required.
• Life sciences experience strongly preferred, including an understanding of regulated environments and the implications of GxP, quality, validation and data governance for AI-enabled solutions.
• Demonstrated ability to structure ambiguous problems, build executive alignment, develop business cases and transformation roadmaps, and maintain senior sponsorship as work moves into implementation and value tracking.
• Strong commercial track record in originating consulting opportunities, opening new executive relationships, expanding strategic accounts, leading proposals/RfPs, negotiating scope and commercials, and shaping Statements of Work.
• Ability to mobilize and coordinate multidisciplinary teams across management consulting, life sciences domains, architecture, data/AI and distributed delivery, without needing to be the deepest technical expert.
• Experience as a people or line manager, including performance management, development planning, coaching and supporting staffing decisions.
• Strong facilitation, storytelling and executive presentation skills. Fluency in English is required. German is an asset.

What Success Looks Like:

• Clients see you as a trusted management consultant who can frame complex choices, create executive alignment and connect AI and data investments to measurable business outcomes.
• AI and data advisory engagements, including the AI Value Compass where relevant, convert into credible roadmaps and, where appropriate, implementation and longer-term value partnerships.
• The AI Factory is connected to commercially qualified, well-shaped client demand, with clear ownership between advisory, technology specialists and delivery.
• AI and data work pulls through NNIT domain, platform, validation and managed-service capabilities without creating a separate silo
• Client work creates reusable assets and referenceable outcomes that strengthen NNIT’s market position and future pipeline.

Why Join Advisory & AI: This role is positioned at the front of NNIT’s client agenda: opening strategic conversations, building trusted executive relationships, framing value and converting demand into material consulting and transformation engagements. You will work across NNIT’s life sciences domains, deliver existing offerings and provide marketled input to develop the next generation of AI and data advisory propositions, supported by NNIT’s domain and technology specialists. About NNIT: NNIT provides consulting and IT services to life sciences and other regulated organizations. Our direction is to combine deep domain expertise, advisory, technology and global delivery to create tangible customer impact. In this role, that means bringing AI and data into real regulated business contexts and ensuring that ideas move from executive ambition to scalable execution. Internal drafting note: This JD deliberately reflects the agreed operating-model direction and the role of value pathways without reproducing detailed pathway descriptions that are still being finalized. Remove this note before external publication. About NNIT NNIT is a publicly listed company that specializes in IT solutions to life sciences internationally, and to the public and enterprise sectors in Denmark. We focus on high complexity industries and thrive in environments where regulatory demands and complexity are high. We advise on and build sustainable digital solutions that work for the patients, citizens, employees, end users or customers. NNIT consists of group company NNIT A/S and subsidiaries SCALES, Excellis Health Solutions and SL Controls. Together, these companies employ more than 1,600 people in Europe, Asia, and USA. We celebrate diversity and are dedicated to fostering an inclusive environment for all employees. We actively work to eliminate bias and ensure an inclusive workplace where everyone has the right to be seen and heard as they are. We invite interested candidates to apply, no matter their background. In the interest of fostering a fair and unbiased recruitment process, we kindly request candidates to refrain from including their pictures in their applications. Learn more about working at NNIT Apply now and liberate your talent!