Manager, Global Finance Enablement

Description Position at LHH (Global) Job Description, Manager , Global Finance Enablement Reporting Relationship s Reporting to: VP Global Finance Direct Reports: One analyst Key Stakeholders : LHH CT&M and LD&C Global Finance Teams LHH CT&M and LD&C Finance Directors and their teams LHH GBU Finance TAG Finance Group Technology, Data and AI teams Key Responsibilities Finance Enablement, Roadmap and Delivery Partner with the VP Global Finance and wider Global Finance team to develop and maintain the LHH CT&M and LD&C Finance Enablement roadmap Translate the agreed roadmap into clear priorities, delivery plans, milestones, resources and measurable outcomes Own the execution, delivery and tracking of reporting, automation, AI and process-improvement initiatives Maintain a prioritised delivery portfolio, balancing strategic projects, ongoing support and urgent business needs Track progress, benefits, risks and dependencies, escalating issues early with clear actions and recommendations Ensure solutions are scalable, sustainable and aligned with wider Finance priorities Power BI Reporting and Insights Lead the design, development and improvement of Power BI reporting solutions across Global Finance Deliver dashboards and reporting tools that improve the speed, accuracy and quality of financial insight Translate Finance requirements into practical, scalable reporting solutions Establish consistent reporting logic, definitions, hierarchies and calculations Drive the migration of suitable manual and spreadsheet-based reporting into controlled Power BI solutions Review reporting regularly to simplify, consolidate or retire duplicated outputs Ensure all material solutions have clear ownership, documentation and support arrangements Automation and AI Enablement Identify manual and inefficient Finance processes that can be simplified, standardised or automated Lead the delivery of automation solutions using Power Automate, Power Apps, Power BI and other Group-approved tools Lead the practical application of approved AI capabilities across Finance Lead the development and delivery of AI-enabled solutions supporting areas such as knowledge retrieval, commentary drafting, reporting insight, anomaly identification and workflow support Prioritise initiatives based on value, feasibility, scalability, risk and alignment with Finance priorities Track and validate realised benefits, including capacity released, cycle-time reductions, cost savings and control improvements Ensure appropriate human review, validation and accountability remain in place for financial outputs and decisions Governance, Controls and Delivery Management Ensure reporting, automation and AI solutions have appropriate documentation, controls, testing and approval processes Ensure appropriate data security, access controls and role-based permissions are incorporated into reporting, automation and AI solutions Build reconciliation, validation and exception controls into solutions Ensure financial reporting logic and data transformations are transparent and reproducible Maintain clear project plans, delivery backlogs, ownership, timelines and dependencies Ensure projects are completed to agreed scope, quality and timelines Manage competing priorities and communicate clearly where demand exceeds available capacity Ensure completed solutions are effectively supported and embedded into business-as-usual processes Reduce key-person dependency through clear documentation, knowledge transfer and cross-coverage Change Management and Stakeholder Engagement Develop and deliver communication, training and adoption plans for new tools and processes Engage Finance users throughout solution design and implementation Ensure users are equipped to adopt and use new reporting, automation and AI solutions effectively Build strong relationships with Global Finance, country teams and other stakeholders Translate Finance needs into clear technical and delivery requirements Communicate technical concepts clearly to both technical and non-technical audiences Challenge requests constructively where they create duplication, unnecessary complexity or limited business value Promote standardised, scalable and sustainable ways of working across Finance Team Leadership Lead, develop and motivate one analyst, fostering accountability, collaboration and high-quality executio n Set clear performance expectations, provide regular feedback and support the analyst’s ongoing development and career progression Set clear objectives and priorities aligned with the Finance Enablement roadmap Allocate work effectively across development, delivery, support and documentation Provide technical guidance, review and challenge Support the analyst’s development across technical, Finance, project-management and stakeholder-management capabilities Manage team capacity proactively and escalate resource constraints with clear recommendations Required Experience and Characteristics Bachelor’s degree in F inance , Business, Computer Science, Information Systems, Business Analytics or a related field, or equivalent professional experience Minimum five years’ relevant experience in Finance reporting, business intelligence, process automation, Finance systems or a related area Experience delivering reporting, automation or technology-enabled solutions within a Finance environment Experience managing, supervising or developing team members Strong understanding of financial reporting, budgeting, forecasting and management information Proven ability to translate strategic priorities into structured delivery plans and measurable outcomes Strong project-management skills, with the ability to manage multiple priorities, stakeholders and dependencies Strong analytical and problem-solving capability, with high attention to detail Proactive, delivery-focused and able to progress work from concept through to implementation and adoption Strong communication and influencing skills across senior, technical and non-technical stakeholders Commercially minded, with a clear focus on measurable value and continuous improvement Ability to work effectively in a remote and globally dispersed environment Technical Expertise Strong Power BI capability, including DAX, Power Query, data modelling, row-level security and dashboard design Strong experience with Power Automate and the wider Microsoft Power Platform Experience developing or implementing AI-enabled solutions using approved tools and platforms Strong understanding of responsible AI use, including validation, human review, security and governance Experience using SQL Server and SQL to extract, transform and validate data Advanced Microsoft Excel skills Experience integrating and reconciling data from multiple Finance and operational systems Experience with MicroStrategy, JD Edwards, Microsoft Fabric, Copilot Studio, Azure, VBA or Python would be advantageous