Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.

National in scope and local in focus, MNP is one of Canada’s largest professional service firms providing client-focused accounting, consulting, tax, and digital services to clients. Founded in 1958, MNP today is a CAD 2 billion+ organization with 10,000+ employees and 150+

offices across Canada. MNP prides itself on being an ‘advisor’ to its clients (individuals, businesses, and organizations), focusing on their success by delivering personalized strategies and solutions that help clients reach their full potential — wherever business takes them.

MNP set up MNP Spark, its Global Capability Centre (GCC), in Bengaluru in May 2025 with a focus on enabling the Firm drive growth, efficiency, customer delight, and innovation, by leveraging high-quality talent in India. MNP Spark is like any other MNP region/office — front facing, client focused but working with all MNP regions in Canada to deliver services.

Help build a practice, not just fill a seat. Digital Advisory in India is being built from the ground up, working as one team with MNP’s leadership in Canada. As an early member, you’ll shape how the practice works: the methods it uses, the assets it reuses, and the standards it holds itself to. The report templates, business case models, and prompt libraries you create will become the practice’s way of working.

Do real advisory work for real decision-makers. You’ll work directly with Canadian clients in the private and public sectors, not behind an onshore buffer. Your analysis and recommendations will be used by the people deciding where their organizations invest.

Build with AI, not just talk about it. Many advisory roles stop at the strategy deck. Here you’ll also help clients get from idea to working prototype in their own environment, using Microsoft Copilot, Copilot Studio, and leading LLM platforms. You’ll grow both as a consultant and as a practitioner, which is a rare and valuable combination right now.

Learn inside a large, established firm. MNP is one of Canada’s leading national accounting, tax, and business consulting firms. You get the stability, client base, and colleagues of an established firm, with the pace and ownership of a new team.

Grow with a clear path. The practice has a defined progression from Analyst to Manager. As the team grows, you’ll take on more ownership of workstreams, client relationships, and the development of the Analysts who join after you.

Responsibilities

As a key member of the Digital Advisory team at MNP Spark, the Consultant helps Canadian clients in the private and public sectors set digital and AI strategy, make sound technology decisions, and deliver the transformation that follows. The core of the role is advisory: discovery and assessment, business cases, solution selection, client reports,



roadmaps, and engagement coordination.

The Consultant delivers defined components of client engagements under the direction of a Manager or Partner. The Consultant is accountable for the quality, accuracy, and timeliness of their own analysis, deliverables, and prototypes, and for raising risks and issues early.

The role also carries a hands-on AI prototyping component that bridges Advisory and Solutions. When a priority use case is identified, the Consultant works with the client team to prototype it in the client’s own environment, for example by designing and testing prompts,

configuring a Copilot agent, or building Copilot powered automation. The role suits a strong consultant who is curious about AI, learns quickly, and is comfortable building. It is not a software engineering, data science, IT support, managed services, BPO, or pure project coordination role.

Digital and AI strategy

· Support digital and AI strategy engagements by carrying out current-state assessments, digital and AI maturity reviews, and opportunity research.

· Prepare for and co-facilitate discovery sessions and stakeholder interviews, and turn what is heard into structured findings.

· Contribute analysis and draft content to strategic roadmaps that connect technology investment to business outcomes.

Digital transformation

· Carry out process mapping, future-state design, change impact analysis, and adoption planning for assigned areas of a transformation program.

· Identify where digital tools, automation, and AI can improve how a client operates, and bring these opportunities to the engagement lead.

Business cases and reports

· Build business case models, including cost-benefit analysis, ROI modelling, and risk assessment, based on assumptions agreed with the engagement lead.

· Draft sections of client reports and assessments that are transparent, evidence-based, and accurate.

· Prepare presentations that tell a transparent story and support a decision.

Solution selection and decision support

· Research and evaluate AI and technology solutions against client requirements.

· Build evaluation criteria, vendor comparison matrices, and scoring models within the approach agreed with the engagement lead.

· Support RFP and procurement processes, particularly for public sector clients, including preparing documentation and coordinating vendor responses.

Project and engagement management

· Plan and track own tasks and deliverables, and maintain the workstream workplan, timeline, and budget tracking.





· Coordinate day-to-day activity across client stakeholders and the Canada and India teams.

· Prepare status updates and flag risks and issues early to the engagement lead.

AI prototyping and solution delivery

· Work alongside client teams to build prototypes and pilots for identified use cases in the client’s own setting, using Microsoft Copilot, Copilot Studio, Agent Builder, and leading LLM platforms.

· Design, test, and refine prompts, agent instructions, and prompt workflows.

· Test prototypes with end users, record results against the agreed success measures, and refine based on feedback.

· Document what is built so that the client can adopt it and the practice can reuse it.

Network and practice building

· Build working relationships with MNP colleagues, client stakeholders, and technology partners.

· Stay active in the AI and digital community through meetups, vendor briefings, and industry events.

· Contribute reusable assets such as report templates, business case models, evaluation frameworks, and prompt libraries.

· Support the onboarding and day-to-day learning of Analysts and new team members.

Requirements

Skills

Professional experience

· 3 to 5 years in consulting, business analysis, digital strategy, or digital transformation, with direct client or senior stakeholder exposure.

· Contribution to business cases, reports, or assessments that decision-makers used.

· Experience coordinating projects or workstreams alongside analytical work.

· Some experience building with AI or low-code tools, through client work or self-directed projects.

Consulting skills (the core of the role)

· Structured problem solving: the ability to break an ambiguous business problem into something workable.

· Facilitation: the ability to help run a workshop or discovery session and keep it productive.

· Business writing: clear, concise, and client-ready reports and presentations.

· Financial thinking: comfortable building cost-benefit and ROI analysis in Excel.

· Organization: keeps own work, and the work around it, on schedule.

AI prototyping skills (demonstrated, practical capability)

· Hands-on use of AI tools such as Microsoft Copilot, ChatGPT, or Claude in day-to-day work, beyond casual use.

· Comfort experimenting, testing, and iterating until a solution works.

· Basic understanding of prompt engineering: structuring instructions, providing context and examples, and checking outputs.

· Exposure to low-code platforms (Microsoft Power Platform, Copilot Studio, or similar) is a strong advantage.

Communication

· Excellent spoken and written English, with the ability to work directly with Canadian clients.

· Ability to explain what a technology or AI solution does, and what it cannot do, in plain business language.

Educational Qualifications

· Bachelor’s degree in Engineering (B.E. / B.Tech) or Business (BBA / B.Com). An MBA is an advantage.

Experience

· 3-5 years

📌 Consultant, Digital Advisory (Bengaluru)
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