Head, Finance Operations & Data Analytics

Requirements

• Minimum of 15 years of relevant professional experience, including at least 5 years in a senior management or leadership role.
  

• Proven track record in senior financial roles within large, complex, and/or global organizations, withresponsibility for significant budgets and financial oversight.
  

• Demonstrated experience in developing and implementing data analytics strategies and tools (e.g., PowerBI, Tableau, SQL, Python) to drive evidence-based decision-making and organizational performance.
  

• Proven ability to lead large-scale finance transformation and drive operational excellence.
  

• Strong financial acumen with deep understanding of finance operations, systems, and controls.
  

• Expertise in data analytics and visualization tools (e.g., Power BI, Tableau, SQL, Python/R) to translate datato actionable insights for strategic decision-making.
  

• Ability to travel frequently and respond flexibly to emergencies.
  

• Establish and lead a high-performing data analytics function within ProgramFinance to deliver timely, actionable insights that inform strategic decisions,enhance performance and drive continuous improvement.
  
• Champion a data-driven culture by embedding analytics into financial management, planning, and operational processes across the organization.
  
• Develop and implement a comprehensive data analytics strategy forProgram Finance that aligns with organizational priorities andintegrates with enterprise-wide data initiatives.
  
• Design and oversee the creation of dashboards, predictive models,and performance metrics that provide real-time visibility into financialperformance, resource allocation, and program efficiency.
  
• Partner with Finance, Program, and Operations leaders to translatedata insights into strategic actions, ensuring that analytics directlyinform planning, budgeting, and investment decisions.
  
• Establish data governance and quality assurance processes to ensureaccuracy, integrity, and consistency of financial and operational dataused for decision-making.
  
• Leverage advanced analytics techniques, such as scenario modeling, trend analysis, and predictive forecasting, to anticipate risks, identify opportunities, and improve financial agility.
  
• Develop a performance measurement framework that links financialresults with program outcomes, supporting evidence-basedevaluation of impact and value for money.
  
• Collaborate with Technology and Operations teams to define dataarchitecture requirements, optimize reporting systems, andimplement automation tools that enhance analytical capabilities.
  
• Build analytical capability within the Finance team by designing anddelivering training, coaching, and knowledge-sharing initiatives toimprove data literacy and insight generation skills.
  
• Communicate complex analytical findings clearly and effectively tosenior stakeholders, providing concise narratives and visualizationsthat influence strategic and operational decisions.
  
• Continuously evaluate and evolve analytics tools and practices to stay at the forefront of emerging technologies, ensuring scalability and relevance as the organization grows.