We are looking for an experienced Process Improvement & End User Automation Manager / Senior Manager to lead process excellence, analytics, automation and intelligent automation initiatives within a Finance Shared Services environment.
This role will play a key part in driving digital transformation, productivity improvement, process standardisation and data-driven decision-making, while partnering with senior stakeholders across Finance, Technology, Risk and other business functions.
Key Responsibilities
- Define and drive the process improvement, analytics, automation and intelligent automation roadmap.
- Manage the transformation portfolio, including demand intake, prioritisation, business cases, delivery governance and benefits tracking.
- Identify high-value opportunities to improve productivity, operational efficiency, controls, scalability and user experience.
- Track and communicate value realisation, including FTE capacity release, cycle-time reduction, cost avoidance, quality improvement and risk reduction.
- Lead the development of data analytics and business intelligence solutions supporting business and operational decision-making.
- Design and implement automated data preparation, cleansing, transformation and validation workflows using Alteryx and related analytics tools.
- Develop dashboards, scorecards and management reporting using Power BI and other visualisation platforms.
- Establish appropriate data quality, reporting and governance standards.
Process Automation & Digital Transformation
- Lead the design and implementation of automation solutions that reduce manual activities and improve process efficiency.
- Utilise Microsoft Power Platform, Power Automate, Power Apps, Alteryx and other low-code/no-code or RPA technologies.
- Identify and redesign processes to maximise automation opportunities across Finance and other corporate functions.
- Develop reusable automation frameworks, standards and templates.
- Maintain an automation pipeline and roadmap aligned with business priorities.
Process Excellence & Continuous Improvement
- Lead continuous improvement initiatives using Lean, Six Sigma, Kaizen and related methodologies.
- Facilitate process mapping and identify bottlenecks, failure points and inefficiencies.
- Conduct root cause analysis and develop sustainable improvement solutions.
- Establish KPIs, process performance measures and benefits-tracking mechanisms.
- Drive simplification, standardisation and harmonisation of processes.
- Evaluate, pilot and deploy Agentic AI and intelligent automation use cases.
- Identify opportunities to apply AI to Finance and shared services processes.
- Establish appropriate governance, controls, security and responsible AI practices.
- Partner with Technology and business stakeholders to scale successful AI solutions.
Senior Stakeholder Management
- Act as a trusted business partner to senior Finance, Technology, Risk and business stakeholders.
- Manage transformation demand, priorities, delivery pipelines and competing requirements.
- Present strategic recommendations, portfolio updates, risks, investment options and value realisation to senior management.
- Facilitate alignment across business, technology, risk and governance teams.
- Establish governance standards for end-user-developed automation and analytics solutions.
- Ensure solutions comply with organisational policies, security standards and regulatory requirements.
- Implement appropriate controls, documentation, audit trails and operational support procedures.
- Conduct solution health checks and periodic reviews to ensure sustainability.
Team Leadership & Capability Development
- Lead, coach and develop automation developers, analysts, process improvement specialists and citizen developers.
- Establish delivery methodologies, solution design standards, QA practices and operating models.
- Drive capability building through training, coaching and communities of practice.
- Lead change enablement, stakeholder readiness, adoption and post-implementation sustainability.
Requirements
- 10+ years of progressive experience in analytics, automation, process improvement, digital transformation, finance transformation or shared services.
- 5+ years of leadership experience managing teams, transformation portfolios and/or enterprise-scale automation initiatives.
- Proven experience defining strategy, managing roadmaps and delivering measurable transformation outcomes.
- Strong experience with Microsoft Power Platform, Power Automate, Power Apps, Alteryx and/or similar enterprise automation platforms.
- Strong experience in Power BI, SQL, data modelling and advanced Excel.
- Experience implementing process improvement initiatives with measurable business benefits.
- Strong senior stakeholder management, communication and influencing skills.
- Experience in finance transformation, shared services, insurance, banking, healthcare or large enterprise environments is advantageous.
- Experience with AI-enabled/intelligent automation, Microsoft Copilot, Azure AI, Agentic AI, LLMs or AI workflow orchestration is advantageous.
- Experience establishing governance frameworks, control standards, operating models and benefits-tracking mechanisms is highly valued.
Technical Skills
Analytics & Reporting
- Alteryx Designer
- Power BI
- SQL
- Advanced Excel
- Tableau
Automation
- Microsoft Power Automate
- Power Apps / Power Platform
- RPA: UiPath, Automation Anywhere, Blue Prism
- VBA
AI & Emerging Technology
- Agentic AI
- AI Workflow Orchestration
Process Excellence
- Lean Six Sigma
- Value Stream Mapping
- Process Mining
- Business Process Management
Preferred Qualifications
- Bachelor's Degree in Information Systems, Computer Science, Data Analytics, Engineering, Finance, Business or a related discipline; ACCA equivalent also considered.
- Lean Six Sigma Green Belt / Black Belt is advantageous.
- Microsoft Power Platform Functional Consultant certification is advantageous.
- Microsoft Power BI Data Analyst certification is advantageous.
- Alteryx Designer Core certification is advantageous.
- PMP, PRINCE2 or Agile certification is advantageous.
- AI-related certifications are desirable.
Success Measures
- Measurable productivity and FTE capacity savings through automation.
- Increased adoption of self-service analytics, reporting and AI capabilities.
- Reduced manual effort, cycle time and operational risk.
- Sustainable process improvements and measurable business benefits.
- Improved decision-making through modern analytics and automation solutions.
- Transformation initiatives delivered effectively and on schedule.