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Wolters Kluwer

Operations Business Intelligence Associate Director

Reposted Yesterday
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In-Office
Square Mile, Greater London, England
Senior level
In-Office
Square Mile, Greater London, England
Senior level
The Operations Business Intelligence Associate Director will establish a new BI capability, design operational frameworks, develop dashboards, and lead data-driven decision-making for Health Operations.
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Join us at Wolters Kluwer and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.

We are currently seeking an Operations Business Intelligence Associate Director, to join our Health Operations team.

Mission:

The Operations Business Intelligence Associate Director will establish and lead a new business intelligence capability within Health Operations that powers smarter, faster, and more data-driven decisions about performance, cost, and capacity across Operations. This leader will design the frameworks, dashboards, and predictive models that give leaders real-time visibility into operational drivers, establishing proactive management and consistent, data-informed decision-making. This role serves as a strategic partner between Health Operations Leadership and the services and standards established by divisional data and analytics teams—collaborating to create sustainable performance improvement.

Key Responsibilities:

  • Design and implement comprehensive analytics framework for Health Operations including consistent operational data definitions along with  KPI and metrics hierarchies
  • Develop and maintain executive dashboards, scorecards and reporting systems that provide clear visibility into operational performance drivers, cost trends, and capacity utilization across Health Operations
  • Design diagnostic tools that enable Health Operations to quickly identify root cases of performance variances and cost overruns
  • Design predictive models that forecast operational demands, identify capacity constraints, vendor mix, and project cost trends Identify inefficiencies, waste, and optimization opportunities through data analysis and recommend process improvements based on performance trend Partner with centralized analytics teams to ensure the availability and accuracy of operations data as well as align with divisional standards on tools and platforms, data strategy and governance, privacy and security controls, preferred vendors, or other best practices Partner with Health Operations leaders to understand decision-making needs, translate business questions into analytical approaches, and build team’s capabilities to leverage data effectively
  • Drive adoption and monitor usage of operations BI tools and techniques to evaluate effectiveness and enhance team decision-making speed and accuracy
  • Establish measurement frameworks to track the impact of operational initiatives ensuring accountability for benefits delivery
  • Create standardized reporting cadences for operational reviews
  • Advocate for data-driven decision-making across all operational processes
  • Build and lead a high-performing analytics team (estimated 1-2 direct reports)

Required Skills & Expertise:

  • Expert user of business intelligence platforms such a tableau, Power BI, or similar visualization tools with the ability to design effective dashboards and reports that drive decision-making
  • Deep expertise in data visualization, predictive analytics, and performance management
  • 8+ years of progressive experience in analytics or business intelligence including 3-5 years of experience in operations or customer service analytics
  • Ability to ensure consistency and scalability of analytics solutions across systems
  • Strategic thinker who can translate complex analytical concepts into clear business insights and actionable recommendations for non-technical audiences
  • Strong storytelling and executive communication skills
  • Excellent stakeholder management skills and ability to influence and partner with senior leaders
  • Strong program management capabilities including the ability to prioritize competing demands, manage multiple workstreams, and deliver result

Qualifications:

  • Advanced degree in Analytics, Data Science, or related quantitative field
  • Extensive and progressive experience in analytics or business intelligence including demonstrable experience in operations or customer service analytics
  • Demonstrated success leading analytics initiatives that drove measurable operational improvements and cost savings
  • Experience building and managing small analytics teams, including recruiting, developing, and retaining analytical talent

If you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.

#LI-Hybrid

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.

Top Skills

Business Intelligence Platforms
Data Visualization
Power BI
Predictive Analytics
Tableau

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