Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
DirectorJob Description & Summary
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 decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Job Description & Summary:
We are seeking highly accomplished Enterprise Transformation Architects who combine deep technology expertise with strong business acumen and consulting capabilities. This is not a traditional architecture role focused solely on governance, standards, or solution reviews. We are looking for transformation leaders who can engage with C-suite executives, shape complex business and technology agendas, influence enterprise strategy, architect future-state operating models and drive large-scale transformation initiatives across industries.
The ideal candidate will operate at the intersection of business transformation, enterprise architecture, cloud, data, AI and digital modernization. They will serve as trusted advisors to senior client stakeholders, helping organizations define their transformation vision, create compelling business cases and translate strategy into executable roadmaps.While the role spans multiple industries, experience within Banking, Financial Services, Insurance, Capital Markets, Wealth Management or FinTech environments will be highly valued. Candidates should possess strong understanding of industry transformation drivers including regulatory modernization, customer experience transformation, data modernization, risk management, operational resilience and AI adoption.
Responsibilities:
Key Areas:
.Enterprise Architecture Leadership
. Enterprise Transformation Leadership
. AI-Led Transformation
. Pre-Sales, Solutioning & Deal Shaping
. Client Relationship Management
.Executive Advisory & Strategic Consulting
. Technology Strategy & Modern Engineering
. Thought Leadership & Practice Development
Industry Focus
BankingFinancialServices
Insurance
Capital Markets
Wealth and AssetManagement
Fintech
Payments
. Act as a trusted advisor to CIOs, CTOs, CDOs, COOs, CEOs and business leaders.
. Lead enterprise-wide transformation initiatives involving cloud, data, AI, platforms and application modernization.
. Define future-state enterprise architecture visions aligned to business outcomes.
. Develop transformation strategies, investment roadmaps and target operating models.
. Build compelling business cases including ROI, TCO, cost optimization and value realization frameworks.
. Lead solutioning and proposal development for large and complex transformation opportunities.
. Shape end-to-end transformation solutions spanning consulting, architecture, cloud, data, AI and managed services.
. Lead RFP, RFI and strategic proposal responses.
. Participate in executive client meetings, discovery workshops and strategic pursuits.
. Establish trusted relationships with senior client stakeholders.
. Drive long-term client engagement and account expansion.
. Lead architecture strategy across business, application, data, cloud and technology domains.
. Design cloud transformation strategies and hybrid-cloud architectures.
. Define enterprise data architecture, governance and analytics frameworks.
. Advise clients on AI-first transformation strategies and enterprise AI adoption.
. Architect enterprise-scale AI, GenAI and Agentic AI solutions.
. Contribute to development of methodologies, frameworks, accelerators and intellectual property.
. Mentor architects, consultants and emerging leaders.
Technology Areas
Cloud Platforms:
AWS, Azure, Google Cloud Platform, Hybrid and Multi-Cloud
Data & Analytics:
Enterprise Data Platforms, Lakehouse Architectures, Data Engineering, Analytics, BI, Governance and MDM
AI & Intelligent Systems:
Generative AI, Agentic AI, Machine Learning, Conversational AI, Enterprise AI Platforms and AI Governance
Modern Engineering:
Platform Engineering, DevSecOps, SRE, Microservices, Event-Driven Architectures, API-Led Integration and Cloud-Native Architectures
Leadership Attributes
. Strategic thinker with strong business acumen.
. Excellent executive communication skills.
. Ability to translate technology into business value.
. Strong executive presence and influencing capability.
. Builder mindset with entrepreneurial drive.
. Comfortable operating in ambiguity.
. Passion for innovation, transformation and client impact.
Success Measures
. Strategic client impact
. Executive stakeholder relationships
. Transformation opportunities shaped and influenced
. Proposal and pursuit effectiveness
. Revenue and pipeline contribution
. Client satisfaction and advocacy
. Thought leadership and market presence
. Development of reusable intellectual property
Mandatory skill sets:
Enterprise architect
Preferred skill sets:
Enterprise architect
Years of experience required:
. 10 - 15years of consulting, enterprise architecture, technology transformation or strategic advisory experience.
. Proven experience leading large-scale business and technology transformation initiatives.
. Demonstrated success engaging executive stakeholders and influencing strategic decisions.
. Strong background in enterprise architecture and technology strategy.
. Experience shaping and winning complex transformation opportunities.
. Strong commercial awareness and growth mindset.
Education qualification:
Btech
Education
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
Required Skills
Enterprise Business ArchitectureOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, 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, Digital Tooling + 39 moreDesired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
June 29, 2026More Info
Key Skills
AI Governance
BI Governance
Hybrid and Multi-Cloud
AI Intelligent Systems
Cloud Platforms
Event-Driven Architectures
Generative AI
API-Led Integration
Modern Engineering
Lakehouse Architectures
Enterprise Data Platforms
Agentic AI
Enterprise AI Platforms
Cloud-Native Architectures
Conversational AI
Platform Engineering
About Company
Are you ready to make a difference Want to unlock new value by applying your unique perspective and talents You can grow exponentially at PwC. Here, you canuncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'llhelp you grow your skillsthrough challenging, meaningful work so you can go further.
