• Oversee a wide range of Data Transformation & Analytics projects, spanning performance analytics, transaction support, forecasting, and AI-enabled solutions. • Bring a diligent mindset to build innovative solutions for clients leveraging data for performance analytics and insights in connection with transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness. • Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction level, leading to supportable and auditable performance metrics. • Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, CFOs, and corporate development officers. • Perform data extraction, transformation, modeling, visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions. • Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, analytics, and visualization to drive valuable business and commercial insights. • Cultivate new client relationships and deepen existing ones. Guide clients and teams along their analytics journey, aligning with their strategic vision, crafting a practical roadmap, and supporting implementation. • Lead data-driven discussions in management meetings, translating complex findings into clear, strategic recommendations for due diligence and transaction models. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes. • Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics. • Contribute to the creation of forecasting and predictive analytics models. • Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making. • Contribute to the continuous improvement of the fast-growing practice. • Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues. • Play an active role in attracting, interviewing, hiring, and retaining top Talent.