Director - AI & Data Advisory

Copenhagen, Basel

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Details

Type of contract:Permanent

Location(s):Copenhagen, Basel

Language(s):English, Danish

Mobility:Some Travel

Application Deadline:31/01/2027

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 a Director to lead the AI & Data Advisory team, combining
• management consulting leadership, commercial accountability, people management and a strong understanding
• of AI and data in regulated environments.
• The Director will be accountable for building a high-performing, market-facing team that opens senior client
• conversations, originates and converts opportunities, delivers high-quality management consulting
• engagements and develops relevant offerings based on market demand. The role sits in AI & Data Advisory
• under Advisory & AI and works across R&D, Manufacturing, Supply Chain and cross-functional regulated
• capabilities and connects client needs to NNIT domain and technology specialists, including the AI Factory in
• the Philippines.
• This is not a technology delivery leadership role. The Director must understand AI, data and the associated
• regulatory considerations in depth to advise senior stakeholders, shape compelling propositions, and mobilize
• the right specialists. The primary mandate is to grow and lead a commercially successful management
• consulting team.

Your responsibilities as Director - AI & Data Advisory

• Lead and develop the AI & Data Advisory team: Set clear direction and priorities for the team and hold
• responsibility for performance, development, engagement, staffing and capacity. Lead the team through regular
• one-to-ones, performance and development conversations, coaching and clear follow-up. Build a culture of
• commercial ownership, collaboration and high-quality consulting.
• Drive commercial growth: Own the commercial performance of the area and work closely with Sales, account
• teams and the Life Sciences business areas to build qualified pipeline, originate opportunities and convert them
• into bookings and revenue. Maintain visibility of pipeline, utilization, delivery outlook and capability needs, and
• intervene early where progress is off track.
• Build trusted executive client relationships: Develop and maintain relationships with senior stakeholders
• across life sciences. Lead strategic client conversations, frame business challenges, build executive alignment
• and position NNIT as a trusted management consulting partner for AI- and data-enabled transformation.
• Oversee high-impact management consulting engagements: Ensure that engagements are well shaped,
• commercially sound and delivered to a high standard. Provide senior oversight on complex assignments
• covering AI strategy and governance, AI readiness, data and analytics strategy, AI-enabled quality and
• continuous improvement, transformation programs, and AI-enabled operating models.
• Develop and commercialize the offering portfolio: Own the direction and commercial relevance of the AI &
• Data Advisory portfolio. Ensure that existing offerings are positioned and delivered consistently, using the AI
• Value Compass as one example. Convert recurring client needs, market developments and delivery experience
• into new or improved offerings, methods, executive workshop formats, commercial narratives, pricing logic and
• reusable assets.
• Connect advisory to implementation and scale: Ensure that advisory engagements create credible pathways
• into transformation, implementation, validation and managed services where relevant. Maintain clear ownership across advisory, Life Sciences domains and technology delivery, while avoiding the creation of a separate
• technology silo.
• Bridge to the AI Factory and wider NNIT capabilities: Act as the senior commercial and consulting link
• between client demand, NNIT business areas and the AI Factory in the Philippines. Ensure opportunities are
• properly qualified and shaped before technical mobilization, with clear scope, value case, governance and
• accountabilities.
• Shape proposals and commercial models: Lead or quality-assure major proposals, RfPs, Statements of
• Work and commercial cases. Ensure that scope, pricing, delivery model, responsibilities, risk and expected
• client outcomes are explicit and support healthy growth.
• Strengthen market position: Represent NNIT in relevant client forums, industry events and selected thoughtleadership activities. Build external credibility around management consulting, responsible AI, data strategy and
• regulated execution, grounded in tangible client outcomes.
• Collaborate across the operating model: Work across Advisory & AI, R&D, Manufacturing, Supply Chain,
• Sales and shared capabilities to bring the best of NNIT to each client. Reinforce common priorities, clear
• ownership and integrated account development rather than creating parallel structures.

What the team will work on

The team’s management consulting engagements may include

• AI strategy, governance and readiness assessments for regulated life sciences organisations
• Data and analytics strategy, data readiness and trusted data foundations for AI
• AI-enabled Quality, risk, knowledge management and continuous improvement
• AI transformation programs, adoption and value-realisation roadmaps
• Agentic workflows and AI-enabled operating model design with appropriate human oversight and
• governance
• AI and data discovery and value-assessment engagements, including the AI Value Compass where relevant
• Client-specific AI and data propositions shaped with NNIT domain specialists and delivered with appropriate
• technology capabilities, including the AI Factory

Your qualifications and experience

• 12+ years of relevant management consulting experience, preferably from a recognized strategy,
• management or technology consulting firm, with a strong record in life sciences or other regulated
• industries.
• Proven experience leading and developing a consulting team, including performance management,
• capability development, staffing, recruitment and creating clear accountability.
• Strong commercial track record with accountability for pipeline, opportunity origination, bookings, revenue
• and account growth.
• Demonstrated ability to build C-level relationships, open new client conversations and convert strategic
• dialogue into material consulting and transformation engagements.
• Proven management consulting toolkit, including hypothesis-led problem solving, executive facilitation,
• transformation and operating model design, quantitative value-case development and 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, privacy and data governance for AI-enabled solutions.
• Experience developing, productizing and commercializing consulting offerings based on client demand and
• market insight.
• Ability to mobilize multidisciplinary and distributed teams across management consulting, life sciences
• domains, architecture, data/AI and global delivery.
• Strong communication, negotiation and stakeholder-management skills. Fluency in English is required.
• Experienced in German is preferred.

What success looks like

• The team has clear priorities, strong engagement and visible individual accountability, with development and
• performance actively managed.
• The area builds a healthy, qualified pipeline and converts it into profitable consulting revenue and broader
• NNIT opportunities.
• Clients recognize NNIT as a trusted management consulting partner able to connect AI and data ambition
• with measurable business outcomes in regulated environments.
• The offering portfolio remains commercially relevant and evolves based on recurring client needs, market
• insight and evidence from delivery.
• Advisory engagements lead to credible roadmaps and, where appropriate, downstream transformation,
• implementation, validation and managed-service opportunities.
• The AI Factory and other delivery capabilities are connected to well-shaped demand with clear scope, value
• cases and ownership.
• The team collaborates effectively across the operating model and strengthens strategic client relationships
• without creating a separate silo.

Why join Advisory & AI

• This role offers the opportunity to build and lead a management consulting team at the front of NNIT’s client
• agenda. You will shape senior client conversations, drive commercial growth, develop people and ensure that
• NNIT’s AI and data propositions remain relevant, differentiated and connected to tangible execution across the
• Life Sciences portfolio.

About NNIT

• NNIT provides consulting and IT services to life sciences and other regulated organisations. We combine deep
• domain expertise, advisory, technology and global delivery to create tangible customer impact. In this role, that
• means leading a team that brings AI and data into real regulated business contexts and ensures that executive
• ambition is translated into commercial opportunities and scalable client outcomes.
• Internal drafting note: This JD reflects the agreed operating-model direction and the role of value pathways
• without reproducing detailed pathway descriptions that are still being finalised. 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.

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