About the Role:

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The Director of Business Intelligence will build and lead a new BI capability for Global Revenue Operations at Wolters Kluwer. This role will define the strategy, operating model, roadmap, and data foundations required to deliver trusted insights and enable faster, data-driven decisions.​

Leading a team of BI professionals, this role will transform complex commercial, financial, and operational data into scalable reporting, executive insights, and actionable recommendations. The role requires a strategic, hands-on leader who can operate independently, adapt quickly, and deliver results in a fast-paced global environment.​
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Responsibilities:

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• Define and execute the Business Intelligence strategy and roadmap for Global Revenue Operations.​
• Build the BI operating model, including governance, prioritisation, delivery standards, and stakeholder engagement.​
• Lead, coach, and develop a high-performing team of BI and analytics professionals.​
• Deliver executive dashboards, scorecards, reporting, and analytical products that provide a trusted view of revenue performance.​
• Translate complex data into clear insights, business narratives, and actionable recommendations.​
• Identify performance trends, risks, opportunities, and root causes across the revenue lifecycle.​
• Establish consistent KPIs, business definitions, and reporting standards across functions and regions.​
• Own the end-to-end delivery, adoption, and continuous improvement of BI solutions.​
• Enable self-service analytics through trusted data, intuitive tools, training, and documentation.​
• Oversee data models, semantic layers, ETL/ELT workflows, and integration across source systems.​
• Strengthen data governance, quality, controls, security, lineage, and auditability.​
• Partner with Revenue Operations, Sales, Finance, FP&A, Accounting, IT, and Data Engineering.​
• Serve as a trusted advisor to senior leaders and represent BI in strategic planning and business reviews.​

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Skills:

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• Demonstrated proficiency in Data 360, Snowflake & Data Lakes​
• BI strategy, capability building, and operating-model design​
• People leadership and high-performing team development​
• Executive dashboards, scorecards, and data visualisation​
• Data modelling, semantic layers, cubes, and dimensions​
• SQL, data querying, and ETL/ELT processes​
• Data governance, quality, controls, and metric definition​
• Commercial, financial, and operational analytics​
• Root-cause analysis and insight generation​
• Executive communication and analytical storytelling​
• Senior stakeholder management and cross-functional influence​
• Program prioritisation and delivery leadership​
• Change management, adoption, and self-service enablement​
• Platform optimisation, automation, and continuous improvement​
• Advanced analytics and practical application of AI​
• High agency, adaptability, and a strong delivery focus​

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QUALIFICATIONS​

Education Bachelor’s degree in IT/Data Technology, Accounting or Finance​

Experience: ​

• 10+ years of progressive experience in business intelligence, analytics, data strategy, Revenue Operations, or Commercial Operation.​
• Proven experience leading and developing BI, data, or analytics teams.​
• Demonstrated success building or transforming a BI capability in a complex global organisation.​

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.