Advance your career with EY, a global leader dedicated to building a better working world. We are seeking experienced Managers to join our Strategy & Transactions (S&E) team within EY Parthenon (EYP). This role focuses on legal entity operationalization planning and execution within the context of mergers, acquisitions, divestitures, and business integrations or separations.

Our S&E team provides comprehensive, operationally focused support throughout the transaction lifecycle. We assist clients with divestiture advisory, carve-out readiness, operational due diligence, synergy assessment, day-one readiness, 100-day planning, integration support, and cost assessments. Join a global network of professionals and contribute to impactful transactions worldwide.

Develop comprehensive cross-functional legal entity operationalization workplans for transaction integration or separation programs. Identify critical legal entity stand-up milestones, potential risks, and workarounds across various global regions. Conduct readiness assessments for legal entities, focusing on end-to-end processes, cutover, and hypercare. Facilitate workshops to define the critical path for legal entity operationalization. Foster strong relationships with global EY offices and ensure high stakeholder satisfaction.

Contribute to business development by preparing client and internal presentations. Provide project guidance and mentor junior S&E professionals. Lead by example, conduct performance reviews, and develop team members. Identify new business opportunities and support senior leadership on proposals.

A postgraduate degree from a premier institute in business, accounting, finance, engineering, or computer science is required, complemented by 8-10 years of relevant industry or consulting experience. Essential expertise includes a solid understanding of the M&A life cycle, carve-out/integration post-transaction announcement, and cross-border M&A, with a specialization in legal entity operationalization. Proficiency in MS Excel and PowerPoint is mandatory.

Key attributes include the ability to identify risks and opportunities, synthesize complex carve-out and integration challenges, and strong problem-solving, project management, facilitation, and interpersonal skills. Excellent written and verbal communication, coupled with strong executive presence and networking skills, are crucial. Analytical capabilities for data synthesis and hypothesis testing are vital. Foundational AI literacy, including prompt engineering and understanding AI-driven insights, is also beneficial.