A career in Technology and Data Solutions practice, within Deals M&A Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better Deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals. Our team consists of well-rounded creative professionals who have a passion and aptitude for building technology driven solutions and pushing the boundaries of innovation in Deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. The Opportunity As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. We help clients unlock value in high-stakes transactions by turning raw data into strategic insight, enabling faster, smarter decisions that shape the future of their businesses. You’ll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed. As a Manager, you supervise, develop, and coach teams, maintaining top-quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams. You will have the opportunity to harness the power of data, leverage data engineering, data analysis, Generative AI, advanced machine learning, and predictive analytics to deliver differentiated insights in complex M&A scenarios. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling—turning complex deal data into compelling, actionable narratives. You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance. Beyond client delivery, you will also contribute to the growth of the practice by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting the creation of thought leadership on trends shaping the M&A and Private Equity landscape.