Europe Margin Expansion and Analytics Leader

Accountabilities: • Lead and execute the European Services margin expansion strategy, identifying opportunities to improve profitability, productivity, and cost management.

• Drive cross-functional initiatives to reduce margin erosion and improve financial performance across outage costs, capital parts, non-capital parts (NCP), and other covered maintenance costs. • Develop and implement recovery plans to address identified financial and operational risks, ensuring alignment and timely execution with business leaders. • Establish effective operating rhythms, standardized processes, and accountability frameworks to deliver sustainable performance improvements. • Act as the regional focal point for cost governance, strengthening cost visibility, financial transparency, and operational discipline. • Collaborate with Finance, Operations, regional leadership, and commercial teams to improve cost productivity and optimize business performance. • Lead detailed financial and operational analyses to identify root causes, quantify business impact, and implement measurable corrective actions. • Promote best practices and continuous improvement initiatives that enhance efficiency, productivity, and profitability. • Define and lead the regional analytics strategy, ensuring consistent KPI measurement, reporting, and performance monitoring. • Develop and maintain dashboards, business intelligence tools, and visual management solutions that provide leadership with timely and actionable insights. • Translate complex financial and operational datasets into clear recommendations and compelling performance narratives for senior management. • Identify emerging trends, anomalies, risks, opportunities, and predictive indicators to support proactive business planning and decision-making. • Build scalable analytical frameworks that improve forecasting, operational visibility, and resource planning. • Champion the adoption of Artificial Intelligence across Services Operations, identifying opportunities to leverage Generative AI, intelligent agents, machine learning, and automation. • Design and implement AI-powered solutions that streamline data collection, analysis, reporting, and insight generation. • Partner with Digital and IT teams to integrate innovative technologies into everyday business processes and drive organization-wide adoption.

Requirements:

• Proven experience in Operations, Finance, Performance Management, Analytics, or Business Transformation, preferably within industrial, energy, or service-oriented environments. • Strong commercial and financial mindset, with a demonstrated ability to drive profitability, productivity, cost optimization, and measurable business outcomes. • Excellent analytical capabilities, including the ability to interpret complex datasets, identify meaningful insights, and translate findings into practical business actions. • Demonstrated experience using Generative AI, intelligent agents, machine learning, or automation tools responsibly to improve productivity, analytical capabilities, and decision-making. • Strong executive communication and stakeholder management skills, with the ability to present complex topics clearly and influence senior leadership through data-driven recommendations. • Proven change management capabilities, including the ability to lead transformation initiatives and encourage the adoption of new technologies, processes, and analytical practices. • Strong execution and problem-solving skills, with the ability to operate effectively in fast-paced, complex, and sometimes ambiguous environments. • Excellent collaboration and relationship-building skills, with experience working across Operations, Finance, Digital, Commercial, IT, and regional business teams. • Strong commitment to process discipline, standardization, compliance, financial controllership, and continuous improvement. • A proactive and resilient leadership approach, combining strategic thinking with hands-on execution and accountability. • Formal higher education is considered an advantage but is not essential. Professional experience, demonstrated capabilities, and measurable achievements in relevant areas are the primary selection criteria.