{"id":4171103,"url":"https://alion.io/job/nnit-director-ai-data-advisory","title":"Director - AI & Data Advisory","company":{"id":2096258,"name":"NNIT","domain":"nnit.com","url":"https://alion.io/company/nnit","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cornerstone","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Basel, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Outlook","optional":false}],"status":"live","first_seen_at":"2026-11-12T14:45:44Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T14:45:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Director - 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 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.\nThe 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.\nThe 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.\nBuild 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.\nBuild 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.\nProvide 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.\nConvert 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.\nBridge 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.\nEnsure 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.\nCollaborate 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.\nProven 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.\nProven 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.\nLife 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.\nStrong communication, negotiation and stakeholder-management skills. Fluency in English is required. Experienced in German is preferred.\nWhat 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.\nThe 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.\nThe 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.\nAbout 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.\nInternal 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. 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