Director Business Intelligence

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.

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.

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

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, 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.