Top Data & Analytics Jobs

As a Manager in Information Governance at PwC, you'll drive strategic programs and help clients manage electronic data, addressing legal and business processes. Your responsibilities include developing governance controls, analyzing complex ideas, coaching team members, and building trusted relationships while upholding ethical standards.

The role involves leading data governance and engineering efforts, helping clients manage electronic data, and ensuring compliance with governance controls. Responsibilities include driving strategic programs, analyzing complex issues, and coaching team members. The position emphasizes building trusted relationships and managing diverse viewpoints to achieve organizational goals.

As a Senior Associate in Data and Analytics, you'll work within a team to solve complex business issues by leveraging data analytics and organizational technology capabilities. Your role includes extracting insights, ensuring the accuracy of work, and helping clients drive innovation and business results through data management and analysis.

The role involves leading AI and GenAI data science projects, mentoring team members, and engaging with clients to deliver data-driven solutions. You will analyze business processes, develop AI solutions, and manage both structured and unstructured data for AI applications, focusing on quality and effective collaboration.

The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytics to drive insights from large datasets. They will manage teams to develop AI solutions, mentor members, and ensure quality delivery while collaborating with clients on their business problems.

The role involves leading a team in data-driven analytics, utilizing AI and Generative AI to solve complex business problems. Responsibilities include managing analytics projects, developing AI solutions, mentoring team members, and collaborating with clients to optimize operations and deliver insights.

The role involves leveraging advanced analytical techniques to extract insights from large datasetswhile managing development teams to create AI and GenAI solutions. Responsibilities include coaching, mentoring, designing AI architectures, and collaborating with clients to address their business problems through data-driven decision-making.