Not Applicable
Specialism
Data, Analytics & AI
Management Level
Director
& Summary
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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.
& Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities
Lead the AI, Analytics and Data portfolio for large accounts Lead the client engagement for AI and analytics for large pharma clients Build new businesses in Analytics and Data with new and existing client accounts Own client relationships, delivery excellence, and P&L for key accounts Collaborate with global stakeholders to shape industryspecific offerings and accelerators Mentor crossfunctional teams of data scientists, engineers, and consultants Represent the firm in industry forums, thought leadership, and client workshops Contribute to practice growth through talent development, innovation, and IP creation
Mandatory skill sets
Deep experience and domain knowledge in pharma and experience in at least one other domain Proven success in leading largescale transformation programs and managing senior client stakeholders Proven success in delivering strategy projects in the pharma domain Experience in driving AI/Agentic AI programs with large clients Strong understanding of cloud platforms, data architecture, and AI/ML lifecycle Experience with GenAI tools and frameworks Excellent communication, leadership, and stakeholder management skills Experience in managing teams and businesses for large accounts Experience in working with GCCs of multinational clients
Preferred skill sets
Experience in regulatory frameworks for pharma Experience of working with global clients with teams across time zones Experience of managing cloud migration projects
Years of experience required
15+ years
Education qualification
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education
Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)
Degrees/Field of Study preferred
Required Skills
AI Programming
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 {+ 28 more}
Travel Requirements
Available for Work Visa Sponsorship