Director - AI & Data Advisory

About the role

NNIT is strengthening its Advisory & AI capability to help life sciences clients turn AI and data ambition into measurable business outcomes. It is 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 role sits under Advisory & AI and works across R&D, Manufacturing, Supply Chain and cross-functional regulated capabilities, connecting client needs to NNIT domain and technology specialists, including the AI Factory in the Philippines. It is not a technology delivery leadership role.

Key responsibilities

• Lead and develop the AI & Data Advisory team: set direction and priorities, manage performance, development, staffing and capacity, and build a culture of commercial ownership and collaboration.
• Drive commercial growth: own the area's commercial performance, build qualified pipeline with Sales and account teams, and convert opportunities into bookings and revenue.
• Build trusted executive client relationships and lead strategic client conversations.
• Oversee high-impact management consulting engagements such as AI strategy, governance and readiness, data and analytics strategy, AI-enabled quality and continuous improvement, and transformation programs.
• Develop and commercialize the offering portfolio, including the AI Value Compass, and turn recurring client needs into new offerings, methods and reusable assets.
• Connect advisory to implementation, validation and managed services, and act as the senior commercial link between client demand and the AI Factory in the Philippines.
• Shape proposals, RfPs and commercial cases, and represent NNIT in client forums and industry events.

Required profile

• 12+ 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.
• Proven experience leading and developing a consulting team, including performance management, staffing and recruitment.
• Strong commercial track record with accountability for pipeline, bookings, revenue and account growth.
• Ability to build C-level relationships and convert strategic dialogue into consulting engagements.
• Experience developing and commercializing consulting offerings, and mobilizing distributed teams across consulting, life sciences domains, architecture, data/AI and global delivery.
• Fluency in English is required; experience in German is preferred.

Required skills

• Management consulting toolkit: 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; deep hands-on engineering or architecture expertise is not required.
• Life sciences experience is strongly preferred, including GxP, quality, validation, privacy and data governance.