Pwc

Overview

Translate client priorities into data and AI strategies, prioritized use-case portfolios and responsible adoption roadmaps that create measurable value.

About Pwc

You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'll help you grow your skills through challenging, meaningful work so you can go further.

Requirements & Eligibility

• 7+ years in data, analytics, AI, digital transformation or technology consulting, with material client-facing responsibility
• Demonstrated experience developing data or AI strategies, maturity assessments, operating models and use-case portfolios
• Strong understanding of data platforms, analytics, machine learning, generative AI, governance, privacy and Responsible AI
• Ability to connect technical options to commercial, operational, customer and risk outcomes
• Strong facilitation, structured problem-solving, proposal writing and executive presentation skills

Key Responsibilities

• Lead executive and functional discovery sessions to identify decisions, processes and customer journeys that can be improved through data and AI
• Assess data and AI maturity, readiness, constraints and dependencies across strategy, governance, technology, people and operations
• Define and prioritize AI, analytics and data-platform use cases using value, feasibility, risk and time-to-impact criteria
• Contribute to proposals, RFP responses, market campaigns and alliance-led opportunities
• Develop data and AI strategies, target operating models, governance frameworks and transformation roadmaps
• Design Responsible AI and model-governance approaches in collaboration with risk, legal, privacy, cyber and industry specialists
• Define adoption, change and capability-building requirements for business and technology teams
• Establish outcome measures, benefits hypotheses and value-realization mechanisms with the Business Value Lead