Join EY as a Manager in Commercial Strategy, a role focused on driving revenue growth, improving margins, and enhancing deal value for clients. This position is part of the Commercial Analytics team, which leverages advanced analytics across various client functions, particularly within M&A and transformation initiatives. You will be instrumental in creating significant value for clients by developing and implementing data-driven commercial strategies.

EY offers a globally connected environment where you can shape your future with confidence and advance your career. We are dedicated to building a better working world by fostering innovation and providing exceptional client services.

As a Manager, you will lead the development and execution of data-driven commercial strategies, utilizing expertise in commercial analytics and business transformation to boost revenue and optimize profit margins. Responsibilities include designing, building, and deploying sophisticated analytical solutions and models to enhance client commercial functions.

You will also be responsible for cultivating strong relationships with global EY offices and ensuring high levels of client satisfaction with engagement processes and outputs. A key aspect of this role involves innovating and creating leading ML and AI toolkits to standardize offerings and drive efficiency.

We are seeking candidates with a postgraduate degree, such as an MBA or in Statistics, coupled with 10 years of relevant consulting or corporate experience. Essential skills include translating complex commercial inquiries into structured analytical plans and owning the end-to-end quality of analytical deliverables, from logic validation to executive-level communication.

Proven ability to communicate technical concepts to non-technical audiences is crucial. Candidates should demonstrate experience in identifying risks and opportunities, leading analytics teams to produce high-quality insights, and building sustainable internal capabilities. Proficiency in programming languages like Python or R, SQL (including T-SQL), Power BI, Advanced Excel with VBA, and experience with cloud platforms (Azure, GCP, AWS) are required. Familiarity with AI development and orchestration, including Agentic and RAG models using Langchain and Langgraph, is also necessary.

The role demands adaptability to new challenges, the ability to lead teams of analysts and data scientists, and strong written and verbal communication skills. Willingness to travel internationally for business needs is expected.