Associate Director, Business Intelligence

Wolters Kluwer is hiring an Associate Director, Business Intelligence in Madrid, Spain. Level rates it ; you can apply on Wolters Kluwer.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, business intelligence and data modeling among its tools and skills.
Level classes it as a lead role.
Wolters Kluwer has 446 other open roles on Level.
Posted within the past week.

AI in this role

Associate Director of Business Intelligence building scalable BI solutions, dashboards, and data models to support Global Revenue Operations.

sql

business-intelligencedata-modelingetldata-governanceanalytics

About the Role:

The Business Intelligence Associate Director will help build and scale a world-class BI capability for Global Revenue Operations at Wolters Kluwer.

As a senior individual contributor, this role will partner with Revenue Operations leadership to turn complex commercial, financial, and operational data into trusted insights, scalable reporting, and actionable recommendations.

The Associate Director will own high-impact BI initiatives from problem definition through design, build, adoption, and continuous improvement. The role requires deep technical expertise, strong commercial judgement, and the ability to move confidently between executive conversations and hands-on solution development.

The successful candidate will be a self-starter who thrives in ambiguity, adapts quickly, and delivers high-quality outcomes with limited oversight.

Responsibilities:

Partner with Revenue Operations leaders to identify critical business questions and translate them into scalable BI solutions.
Design and build executive dashboards, scorecards, reporting, and analytical products that expose performance, risk, and opportunity.
Convert complex data into clear insights, compelling narratives, and actionable recommendations for leadership.
Lead high-impact BI initiatives from requirements and solution design through build, deployment, adoption, and optimisation.
Conduct root-cause analysis to explain performance drivers and identify opportunities for commercial and operational improvement.
Define and standardise KPIs, business definitions, calculation logic, and reporting methodologies.
Build and optimise data models, semantic layers, queries, and ETL/ELT workflows across multiple source systems.
Strengthen data quality, governance, validation controls, documentation, lineage, and auditability.
Enable self-service analytics through intuitive solutions, trusted datasets, training, and stakeholder support.
Simplify the reporting landscape by eliminating duplication, automating manual processes, and retiring low-value outputs.
Partner with Sales, Finance, FP&A, Accounting, IT, Data Engineering, and other functions to deliver integrated solutions.
Influence priorities and decisions as a trusted BI partner to senior leadership.
Provide technical guidance, share best practices, and raise BI capability across the broader organisation.
Proactively identify new opportunities to apply advanced analytics, automation, and AI within Revenue Operations.

Skills:

Demonstrated proficiency in Data 360, Snowflake & Data Lakes
Trusted partnership with senior business leaders
Hands-on BI development and end-to-end solution ownership
Executive dashboards, visualisation and analytical storytelling
Advanced SQL, data modelling, semantic layers and ETL/ELT
Commercial insight, root-cause analysis and structured problem-solving
Data governance, quality, controls and metric definition
Influence without authority and clear executive communication
High agency, adaptability and strong delivery focus

QUALIFICATIONS:

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

Experience:

7+ years in BI, analytics, data strategy, Revenue Operations or Commercial Operations.
Proven success independently delivering complex, high-impact BI solutions.
Strong experience with BI platforms, enterprise data, SQL and ETL/ELT.
Experience with CCH Tagetik or an equivalent planning platform is an advantage.

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.

How we rate this

Associate Director, Business Intelligence at Wolters Kluwer rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Associate Director, Business Intelligence is an open job at Wolters Kluwer.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in ESP - Madrid, Castellana.
The job was posted on October 19, 2026.
Seniority: lead.
Applications are handled by Wolters Kluwer. Apply on Wolters Kluwer

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business IntelligenceData ModelingETLData GovernanceAnalyticsSQL

Questions you could be asked

Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Modeling, ETL, Data Governance, and Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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