About this role
What if we didn’t focus on who you are now, but who you could become? Here at EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build.
The opportunity
your next adventure awaits Technology Consulting business is a fast-growing sub-service line within EY’s Consulting service line. A dynamic group focused on providing high-value independent, trusted advice to clients, with a focus on transformation programmes. EY work with clients in creating value and delivering world-class Digital, Data & IT capabilities to support business needs. Working closely with our industry groups and leveraging the EY brand as independent, trusted advisors, we provide our high-profile clients with a range of services.
The Assistant Manager will help clients reimagine and improve business processes and operations by combining strong business analysis and process transformation skills with practical knowledge of data and artificial intelligence, including generative AI, machine learning, intelligent automation and emerging agentic capabilities. The role will translate business priorities and operational pain points into clear current-state insights, future-state processes and designs, requirements, value cases and implementation roadmaps. The successful candidate does not need to be a data scientist or AI engineer. They must, however, be able to work confidently at the intersection of business, process, people, data and technology, and be motivated to build deeper expertise in AI-enabled transformation with a solid foundation of digital project experience.
Your Key Responsibilities
- 1. Business analysis and process discovery Lead or support stakeholder interviews, workshops and working sessions to understand strategic objectives, customer and employee needs, pain points, controls and operational constraints. Document current-state processes, business rules, roles, hand-offs, systems, data inputs/ requirements, decisions, exceptions and performance measures. Translate business needs into well-structured business, functional, data, reporting, workflow and control requirements. Maintain traceability from business objectives and pain points through requirements, design decisions and expected outcomes.
- 2. AI-enabled process and operating model design Identify process activities that could be eliminated, simplified, standardised, automated or augmented using AI and digital technologies. Design future-state processes that combine human judgement with generative AI, machine learning, intelligent automation and workflow capabilities. Define appropriate human-in-the-loop controls, escalation paths and accountability for AI-supported decisions and outputs. Assess implications for roles, skills, decision rights, governance, data, technology, controls and ways of working. Develop process blueprints, service journeys, operating model components and practical transition roadmaps.
- 3. Use case assessment and value realisation Frame and prioritise AI and automation use cases based on strategic alignment, business value, feasibility, data readiness, risk and adoption considerations. Develop value hypotheses, baseline measures, KPIs and benefit tracking approaches. Support business cases, options analysis, recommendations, implementation plans and executive decision materials. Help clients move from isolated ideas or proofs of concept toward scalable, governed and measurable solutions.
- 4. Delivery and implementation support Work with data architects, data scientists, engineers, automation specialists, designers, change professionals and client teams to convert business designs into implementable solutions. Support prototyping, user story development, acceptance criteria, testing, process validation and implementation readiness. Monitor delivery risks, dependencies, actions and decisions, escalating issues where required. Support adoption through stakeholder engagement, communications, training inputs, playbooks and updated process documentation.
- 5. Consulting and team contribution Manage defined workstreams and junior team members, ensuring high-quality and timely outputs.
Prepare clear, concise and executive-ready presentations, reports and proposals.
- Contribute to proposals, credentials, thought leadership, reusable methods and market-facing offerings.
- Share knowledge and coach colleagues on business analysis, process redesign and practical AI application.
- Build trusted relationships with client stakeholders and collaborate effectively across EY teams and geographies.
Other cognate duties To qualify, candidates must have: (i) Essential experience and background A relevant degree in business, information systems, industrial engineering, operations management, technology management or a related discipline. Typically 5 years of relevant experience in business analysis, process improvement, digital transformation, digital and or data projects, consulting, operational excellence, product delivery or a related field. Equivalent capability and progression will be considered.
Demonstrated experience analysing and redesigning end-to-end business processes, not only documenting them. Experience gathering and structuring requirements and translating between business and technical stakeholders. Experience facilitating client or internal workshops and presenting findings and recommendations to senior stakeholders. Experience managing defined workstreams, priorities, risks and junior contributors. Strong written and verbal English. French capability is advantageous for the Mauritius and regional market. (ii) Core skills and behaviours Capability What good looks like Process analysis and design Current-state and future-state mapping, root-cause analysis, business rules, controls, hand-offs, exceptions, customer journeys and process performance.
Business analysis Requirements elicitation, stakeholder analysis, user stories, acceptance criteria, traceability and structured documentation. Commercial and value orientation Ability to connect redesign choices to efficiency, experience, risk, revenue, service quality and measurable outcomes. AI and data literacy Practical understanding of AI concepts, data dependencies, data modelling, AI model prompting and outputs, limitations and appropriate human oversight. Deep model-building expertise is not required.
Consulting communication Workshop facilitation, executive storytelling, concise writing, visual communication and constructive challenge. Delivery discipline Planning, prioritisation, issue resolution, quality review and ownership of outcomes. Learning agility Curiosity, experimentation and commitment to continuous learning in a rapidly evolving AI landscape. Responsible transformation Awareness of privacy, security, bias, explainability, control, regulatory and change implications. Advantageous experience: Consulting experience with exposure to financial services, public sector, healthcare, telecommunications, consumer, energy or other process-intensive industries.
Exposure to ERP, CRM, workflow, intelligent automation, RPA, process mining, service design, operating model or shared services programmes. Hands-on use of tools such as Microsoft Copilot, Power Platform, Signavio, ARIS, Bizagi, Visio, Lucidchart, Jira, Azure DevOps or equivalent. Understanding of BPMN, Lean, Six Sigma, Agile, product management or change management methods. Experience assessing or implementing generative AI, machine learning, document intelligence, conversational AI, decision-support or AI agent use cases.
Experience with data modelling and EDM Project management and or workstream management experience Relevant certifications such as CBAP/CCBA, Lean Six Sigma, BPMN, Prosci, Scrum/Product Owner, Microsoft AI-900 or Power Platform fundamentals. AI capability expectations: AI depth will be assessed through interview process as a combination of baseline literacy, practical curiosity, sound judgement and learning potential. At entry Develop in role Not required Explain AI, machine learning and generative AI in business terms Apply AI use-case and process redesign methods consistently Build or tune production machine-learning models Recognise that AI depends on data, controls and adoption Use approved AI tools to accelerate analysis and deliverables Act as the solution architect or lead engineer Identify plausible augmentation and automation opportunities Assess value, feasibility, risk and human oversight Be an expert in every AI platform Discuss limitations and validate AI outputs Contribute to prototypes and implementation requirements Replace specialist data science, architecture or engineering roles Success measures for the first 12 months: Independently leads process discovery and future-state design for a defined client workstream.
Produces high-quality, traceable process, requirements and executive deliverables with limited rework. Identifies and shapes credible AI-enabled transformation opportunities with clear value, feasibility, risk and adoption considerations. Builds trusted relationships with client and EY stakeholders and contributes positively to team development. Completes an agreed AI learning pathway and demonstrates practical application on engagements and internal assets. Contributes to at least one reusable methodology, proposal asset, case study or market-facing point of view.
Suggested screening and interview focus: Assessment area Suggested evidence Process depth Ask the candidate to walk through a process they redesigned, including the original problem, evidence gathered, decisions made and measurable outcome. AI potential Provide a manual process and ask where AI may help, where it should not be used, what data is needed and where human oversight belongs. Client skills Use a short workshop simulation with conflicting stakeholder views and incomplete information.
Business-to-technology translation Ask the candidate to convert a business need into requirements, user stories, success measures and controls. Manager readiness Test workstream planning, quality review, coaching, risk escalation and executive communication. What working at EY offers At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities.
It's one of the many reasons we repeatedly win awards for being a great place to work. We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that’s right for you.
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
About EY As a global leader in Assurance, Consulting, Strategy and Transactions, Tax, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer a reality.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY will recommend applicants to read our privacy statement prior to completing the pre application form above: https://www.ey.com/en_gl/privacy-statement Join us in Shaping the future with confidence. Apply now Only shortlisted candidates will be contacted.