At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. In technology strategy at PwC, you will specialise in developing and implementing strategic plans to leverage technology for business growth and innovation. You will analyse market trends, assess organisational needs, and provide guidance on technology investments and initiatives. Working in this area, you will collaborate with stakeholders to align technology strategies with overall business objectives to increase utilisation of technology resources, driving competitive advantage.
Job Summary
PwC’s Digital & AI Strategy practice, part of the Corporate Technology Strategy group, is seeking a Senior Associate to play a key role in helping corporate clients navigate the ever-evolving technology landscape. This position requires a combination of strategic insight, digital fluency, and hands-on problem-solving skills to help corporate clients align technology and AI strategies with business priorities. You will work closely with clients to define multi-year digital and AI transformation roadmaps, design technology operating models, and unlock business value through emerging technologies, architecture modernization, and data-driven decision-making. As part of the Advisory team, you will support delivery from project scoping to conclusion, while consistently keeping client goals in mind. As a Senior Associate, you will analyze complex problems, mentor others, and maintain exceptional standards. You will focus on building client relationships, developing a deeper understanding of business contexts, and inspiring teams to deliver quality outcomes.
- Craft compelling client-ready storylines, synthesize options & trade-offs, and support engagement shaping (scope, estimates, plan) with pursuit teams
- Advance the latest thinking in AI with data driven story and impactful PoVs to drive though leadership for PwC's clients
- Lead discovery & assessment: run interviews/workshops, synthesize pain points, size value pools, and assess AI readiness (data, people, process, governance).
- Translate findings into a prioritized AI roadmap with clear sequencing criteria and a crisp “where to start/why now” narrative for executives.
- Facilitate client education: design and deliver art-of-the-possible sessions, curate use-case catalogs, and socialize adoption playbooks to accelerate value capture.
- Partner on governance guardrails: align recommendations with Responsible AI, privacy, data residency/localization, and security considerations.
- Stand up light program governance (workplan, RAID, dependencies), and track business value (cycle times, quality, service levels, workload/cost/FTE mix).
Preferred Knowledge/Skills
- Core consulting skills
- Quantitative analysis and comfort with large data sets
- Communicating in an organized and knowledgeable manner in written (PowerPoint and Word) and verbal presentations with Clear, concise storytelling (bonus for dashboards in Tableau/Power BI); comfort coordinating multi-workstream delivery across time zones.
- First principles thinking; can take existing knowledge and experience and apply it in relevant ways to the client situation
- Working knowledge of GenAI/LLMs and enterprise AI patterns; strength in business case development, value sizing, and roadmap sequencing.
- Bringing together the right perspectives, identifying roadblocks, and integrating feedback from clients and team members
- Supporting the development of thought leadership materials to further your knowledge and build new client relationships
- Teaming with others, including building solid and collaborative relationships with team members and proactively seeking guidance, clarification, and feedback
- Ability to leverage generative AI platforms (e.g., ChatGPT) to enhance efficiency, deliver rapid insights, and support data-driven analysis
- Domain Knowledge (Bonus skillset to have)
- Agile / SAFe
- IT cost baselining and benchmarking
- Financial Modeling
- Business capability modeling
Preferred Qualifications
- Master’s degree – MBA or equivalent (from Tier 1 B-Schools only) with bachelor’s in engineering or technology
- 4–6 years in strategy experience with 1-2 years in AI Strategy with hands-on assessment/diagnostic experience and exec-level facilitation.
- Working knowledge of GenAI/LLMs and enterprise AI patterns; strength in business case development, value sizing, and roadmap sequencing.
- Nice to have: exposure to data governance/privacy/localization, Responsible AI, and Human+Agent operating models
