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 execution
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 Finance, 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 dashboarddesign
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
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