Key Skills

Job Description

Job Title: Principal Consultant Location: Den Haag, Netherlands Type of hiring: Permanent Role Purpose: The Principal Consultant leads adoption, impact measurement, business analysis, and continuous improvement for AI and agentic AI initiatives. The role connects business users with product and technical teams, converting data, feedback, and business needs into prioritized improvements, functional designs, and measurable outcomes. Key Responsibilities: Adoption and Change Enablement Lead adoption and rollout planning for assigned functions, products, or transformation workstreams. Align rollout activities with business users, process owners, change teams, and technical stakeholders. Collect structured user feedback, assess readiness, and translate adoption barriers into interventions and actions. Facilitate workshops, communications, learning activities, and stakeholder forums that support confident use of AI-enabled processes. Impact Measurement and Business Analysis Define and execute impact-measurement approaches covering adoption, operational performance, business outcomes, and user experience. Perform deep-dive analyses, formulate and test hypotheses, and identify the drivers behind performance or adoption gaps. Translate findings into clear, data-driven recommendations and decision materials for business and program leaders. Track whether implemented changes deliver the expected improvement and identify follow-on opportunities. Continuous Improvement and Release Shaping Proactively identify improvement opportunities through user feedback, process observation, and performance analysis. Translate findings into well-structured improvement tickets, acceptance criteria, functional requirements, and prioritized backlogs. Align scope, dependencies, feasibility, and timelines with business and technical stakeholders. Structure business needs for new releases, assess opportunities by business value, and contribute to business cases and functional designs. Required Skills & Capabilities: • Strong business analysis, data interpretation, and hypothesis-driven problem solving. • Adoption and change management, stakeholder engagement, and structured rollout planning. • Business-technology translation, requirements definition, functional design, and backlog prioritization. • Sufficient understanding of agentic AI, generative AI, analytics, automation, and solution-delivery lifecycles to define feasible improvements. • Business-case and value thinking, including KPI definition and benefits tracking. • Workshop facilitation, executive-ready communication, and collaborative decision-making. • Root-cause analysis, continuous improvement, and disciplined delivery management. • Ability to work across business, product, data, technology, and change teams. Experience & Qualifications: Typically 12+ years in consulting, business transformation, data and AI, analytics, product improvement, or digital change roles. Demonstrated experience leading adoption, business-analysis, or continuous-improvement workstreams. Experience translating business needs and analytical findings into functional requirements, prioritized improvements, or release designs. Track record of working effectively with senior business stakeholders and multidisciplinary technical teams. Bachelor’s or master’s degree in business, technology, engineering, mathematics, data/analytics, or a related discipline. Role Context: This role operates at the intersection of business transformation, adoption, analytics, and AI-enabled product evolution. It brings together the core capabilities reflected in the Impact and Adoption Lead, Technical Integrator, New Releases, and Business Analyst roles, calibrated to the seniority and accountability of this position.

Core Responsibilities

Lead adoption and change enablement for AI initiatives, measure their impact, and analyze performance and user feedback to identify improvement opportunities. Translate business needs and findings into prioritized requirements, functional designs, release plans, and measurable recommendations in collaboration with business and technical teams.

Requirements

Typically requires 12 or more years of experience in consulting, business transformation, data and AI, analytics, product improvement, or digital change, with demonstrated leadership of adoption, business-analysis, or continuous-improvement workstreams. Requires a bachelor’s or master’s degree in a relevant discipline, strong stakeholder and analytical capabilities, and experience translating business needs into functional requirements and prioritized improvements.