Senior Operating Model & AI Analyst

Job description

Job requirements

• Bachelor’s or Master’s degree in Business Administration, Information Systems, Data Analytics, Operations, Technology, Engineering or a related discipline.
• 4–7 years of relevant experience in business analysis, operating model design, process improvement, AI/automation initiatives, operations, consulting or transformation delivery.
• Strong analytical and problem-solving skills, with experience translating complex business topics into structured requirements, insights and recommendations.
• Good understanding of process design, service management, workflow automation, data analysis and operating model principles.
• Experience working with AI, automation, Microsoft 365, PowerAutomate, analytics tools or similar technologies is an advantage.
• Ability to work across functions and geographies, engaging stakeholders to understand needs and drive practical improvement opportunities.
• Strong documentation and communication skills, including process maps, user stories, business cases, executive summaries and implementation plans.
• High attention to detail and a continuous improvement mindset, with comfort working in evolving and ambiguous transformation environments.
• Excellent written and verbal communication skills in English.
• Strong proficiency with Microsoft 365 tools; Power BI, Power Automate, Copilot Studio or similar automation/analytics tools would be an advantage.
• Curiosity for AI-enabled operating models and willingness to learn emerging agentic solution concepts.

Job responsibilities

• Analyse current-state processes and internal services, accountabilities, handovers, pain points and improvement opportunities across internal service functions.
• Support the design of future-state operating models, service designs, roles and responsibilities and implementation plans in collaboration with function heads.
• Translate findings into clear process maps, requirement documents, decision materials and implementation actions.
• Identify and assess opportunities for AI-enabled improvements, workflow automation and agentic support across Operations and related value chains.
• Support intake, prioritisation and requirements analysis for agentic solution ideas, including business benefits, user needs, data prerequisites and delivery dependencies.
• Work with Group IT, engineering resources and functional stakeholders to shape practical AI use cases and support rollout and adoption.
• Analyse operational, workforce, service and portfolio data to identify trends, issues, capacity constraints and improvement potential.
• Build or support dashboards, reports and management views for transformation progress, operating model performance and service improvement.
• Conduct data quality checks and document assumptions, definitions and limitations to support reliable decision-making.
• Support project teams with business analysis, discovery workshops, action tracking, documentation and change adoption activities.
• Prepare concise communication, training and decision materials for stakeholders and senior leadership.
• Contribute to reusable standards, methodologies and artefacts that improve how Synpulse delivers transformation initiatives.