Consulting Partner - Data & AI Transformation in The Hague

• Consulting Partner - Data & AI Transformation
• Onsite location - Den Haag, Netherlands
• Perm role
• Role Purpose

The Consulting Partner shapes and leads enterprise-scale AI and agentic AI transformation programs, connecting executive ambition with measurable business impact.

The role provides strategic direction, builds leadership alignment, governs adoption and value realization, and ensures that business, technology, and people capabilities evolve together.

Key Responsibilities

• Strategy and Executive Advisory
• Define and lead enterprise AI and agentic AI transformation strategies linked to priority business outcomes.
• Advise executive stakeholders on AI-enabled operating models, leadership choices, capability building, and human-AI collaboration.
• Translate enterprise ambition into a sequenced transformation portfolio, investment roadmap, and governance model.
• Build senior stakeholder alignment across business, operations, data, technology, risk, and change functions.
• Adoption, Impact and Value Realization
• Own the overall adoption and value-realization agenda while ensuring clear accountability between the transformation team and business owners.
• Establish outcome, adoption, productivity, quality, and user-experience measures; use evidence to steer executive decisions.
• Sponsor deep-dive analyses to identify performance drivers, adoption barriers, and opportunities for scaled impact.
• Guide the transition from experimentation to repeatable, enterprise-scale deployment and sustained business ownership.
• Portfolio and Continuous Improvement Leadership
• Oversee the pipeline of improvement opportunities and new releases, prioritizing initiatives by strategic alignment, business value, feasibility, and risk.
• Ensure user feedback, operational data, and stakeholder insights are converted into actionable improvement and release roadmaps.
• Chair governance forums that align scope, funding, dependencies, timelines, and benefits across stakeholders.
• Ensure responsible AI, control, and organizational readiness considerations are embedded in transformation decisions.
• Client and Practice Leadership
• Lead complex consulting engagements and maintain trusted relationships with C-suite and senior business leaders.
• Shape propositions, business cases, and executive narratives for AI transformation, adoption, and capability building.
• Lead multidisciplinary teams of adoption leads, business analysts, technical integrators, product specialists, and change professionals.
• Coach senior consultants and contribute thought leadership, methods, reusable assets, and market development.
• Required Skills & Capabilities
• Executive-level stakeholder management and trusted-advisor capability.
• Enterprise AI strategy, transformation leadership, and operating model design.
• Adoption, organizational change, capability building, and leadership enablement.
• Business value articulation, business-case development, portfolio prioritization, and benefits realization.
• Strong understanding of agentic AI, generative AI, data and analytics, automation, AI governance, and responsible AI.
• Ability to connect business strategy, process redesign, technology feasibility, and people implications.
• Commercial acumen, consulting leadership, facilitation, influencing, and negotiation.
• Analytical and hypothesis-driven problem solving, with confidence interpreting performance and adoption evidence.

Experience & Qualifications

Typically 18+ years in consulting, data and AI transformation, digital transformation, or related business leadership roles.

• Demonstrated experience leading large, multi-stakeholder transformation programs and advising senior executives.
• Track record of moving AI or analytics initiatives from strategy and experimentation to adoption and measurable impact.
• Experience leading multidisciplinary teams and shaping transformation portfolios, proposals, or strategic business cases.
• Bachelor's or master's degree in business, technology, engineering, mathematics, data/analytics, or a related discipline.