Director - Technical Architect / Project Director

Not Applicable Data, Analytics & AI Director At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

• Leading and managing client relationships, understanding client needs and delivering data & analytics solutions catering to large clients/GCCs in domestic and/or international markets.
• Providing strategic guidance to clients and collaborating with clients on their data & analytics journey
• Discussing key issues with clients to identify potential opportunities
• Building strong network within the firm to capitalize on engagement opportunities
• Leading and driving business development initiatives, identifying new opportunities, working on proposals and client presentations
• Overseeing endtoend project lifecycle and delivering various projects that exceed the expectation of our clients
• Contributing to the growth of Global Capacity Centre business for D&A and overall PwC.
• Staying abreast of changing industry dynamics and emerging opportunities. Providing insights to clients on industry best practices.

Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Technical Architecture Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more}