Senior Role - Strategy Consulting

Job responsibilities mainly include :

- Activities driven towards inspiring other team members and delivering results - conduct analyses and develop insights, create financial models, analyze large sets of data, work directly with project teams and facilitate meetings to enable decision making, lead analysis and client conversations, organize and prepare recommendations to address client problems, and participate actively in new business development, thought leadership and firm building activities.

- Depending on the project, the incumbent will be involved throughout the project life cycle, adding value during the problem structuring and analysis phases. Responsibilities include understanding client's current business capabilities, assessing current organization structure and operating model including sourcing and delivery ecosystem, conducting end-to-end value chain diagnostics to unlock levers that can produce sustained performance improvement, designing future state digital led structure and enabling change management

Candidates should demonstrate substantial experience and / or knowledge in any sector across the following areas:

- Digital Transformation: Experience in digital strategy and transformation initiatives across an organization, including driving data & analytics strategy, developing reimagined process flows, designing customer journeys, building automation business case, project management, current state diagnostics, future state design, roadmap design, and change management

- Business and Product Strategy: Expertise in current state assessments, product development strategy,. cost modeling, organization re-design and operating model design, business diagnostics and benchmarking, business case analysis and functional outsourcing/ shared services strategies

- Emerging Technology: Proven experience in business application of next-generation technologies like Artificial Intelligence (AI), Machine Learning (ML), RPA, Intelligent Process Automation (IPA), Advanced Analytics

- Data Engineering & Analysis: Experience with data visualization and analytical tools such as PowerBI, SAS and knowledge of languages such as SQL, R, and Python, foundational knowledge of ERP modules for Finance, HCM, procurement, SCM including SAP, Oracle etc.