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Director, Enterprise Transformation Architect

pwc · Bengaluru Millenia

New
🇬🇧 English
AWS Azure Google Cloud Platform Multi-Cloud Enterprise Data Platforms Lakehouse Architecture Data Engineering Analytics Business Intelligence Generative AI Agentic AI Machine Learning Conversational AI Enterprise AI Platforms AI Governance Platform Engineering DevSecOps Microservices Event-Driven Architecture API-Led Integration Cloud-Native Architecture

Job description

About the role

At PwC, our data and analytics teams help clients turn data into strategic insights. As an Enterprise Transformation Architect you will lead the design and execution of large‑scale transformation programs that combine cloud, data, AI and digital modernization. You will work closely with senior executives to shape future‑state operating models and drive business value.

Key responsibilities

  • Act as a trusted advisor to C‑suite executives (CIO, CTO, CDO, COO, CEO) and lead enterprise‑wide transformation initiatives involving cloud, data, AI and application modernization.
  • Define future‑state enterprise architecture visions, develop transformation strategies, investment roadmaps and target operating models aligned to business outcomes.
  • Build compelling business cases with ROI, TCO and cost‑optimization analyses and shape large‑scale transformation proposals and RFP responses.
  • Design cloud transformation strategies, hybrid‑cloud architectures and enterprise data governance frameworks.
  • Architect enterprise‑scale AI, Generative AI and Agentic AI solutions and advise on AI‑first transformation strategies.

Required profile

  • 10‑15 years of consulting, enterprise architecture or technology transformation experience.
  • Proven track record of leading large‑scale business and technology transformation initiatives and engaging senior executive stakeholders.
  • Strong commercial awareness, strategic thinking and ability to translate technology into business value.
  • Experience in banking, financial services, insurance, capital markets or fintech environments is highly valued.

Required skills

  • AWS, Azure, Google Cloud Platform, Hybrid and Multi‑Cloud environments
  • Enterprise Data Platforms, Lakehouse Architecture, Data Engineering, Analytics, Business Intelligence, Data Governance, Master Data Management
  • Generative AI, Agentic AI, Machine Learning, Conversational AI, Enterprise AI Platforms, AI Governance
  • Platform Engineering, DevSecOps, Site Reliability Engineering, Microservices, Event‑Driven Architecture, API‑Led Integration, Cloud‑Native Architecture

What we offer

  • Inclusive benefits and wellbeing support
  • Flexibility programmes and mentorship opportunities
  • Equal employment opportunities and a diverse, collaborative culture

Questions fréquentes

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Source : ats:workday

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Published 14 hours ago

Expires 1 month from now

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pwc

Bengaluru Millenia