EY - GDS Consulting - AIA - Gen AI - Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Career Family: AIA – Agentic AI ENGINEER

The opportunity

We are seeking a dynamic Manager to join our AI & Data Tech Consulting team, focused on driving data-driven transformations. The ideal candidate will bring a unique blend of AI strategy consulting, data & enterprise data assessments and hands-on experience in leading cross-functional teams to deliver scalable and impactful solutions.

You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage Agentic AI, analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage.

Your key responsibilities

Technical Excellence:

• AI & Data Consulting • Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies . • Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation. • Assess technology cost optimization , data monetization, and digital transformation opportunities across portfolio companies. • Knowledge of business process transformation would be an added advantage. • AI‑Ready Data & Enterprise Data Assessments • Assess whether data is clean, secure, well‑structured, and ready for AI i.e.: AI-readiness evaluation (quality, lineage, security, architecture) • Review existing enterprise data to identify gaps and issues and evaluate the strength of data foundations across ERP and core systems • Define clear, prioritized actions to fix gaps and enable AI use cases • Apply assessments during diligence, post‑merger integration, and 100‑day plans • Convert findings into clear business cases with ROI and value impact • AI & Digital Transformation • Lead Agentic AI initiatives , translating business and functional requirements into agent architectures, workflows, and capabilities. • Build proprietary AI/ML accelerators to enhance business processes such as customer care, software development, predictive analytics, and operational automation • Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics to deliver cutting-edge solutions • Familiarity with process mining tools like Celonis, Signavio, or PAFnow. • Experience with Agentic AI frameworks (e.g., LangChain, semantic kernels, Autogen) • Proficiency in Python and retrieval-augmented generation (RAG) • Understanding of basic data structures and algorithms • Working knowledge of: REST APIs, JSON, Async workflows • Data & Analytics Strategy • Architect data solutions leveraging cloud platforms, data engineering frameworks, and predictive analytics models to solve complex business challenges. • Guide portfolio companies on setting up data governance frameworks, data marketplaces, and analytics COEs. • Design end-to-end data transformation programs, from roadmap creation to solution implementation. • Strong understanding of Cloud platforms (Azure / AWS / GCP), data visualization tools, and analytics solutions. • Exposure to ERP transformations (e.g., Dynamics 365, SAP, Oracle) and portfolio tech integrations is a plus. • Business Development & Client Management • Work closely with account leaders to identify opportunities and develop tailored value propositions . • Support pursuit strategy, proposal development, and client orals for strategic accounts. • Represent the firm at global analyst briefings, industry forums, and thought leadership platforms. • Team Leadership & Collaboration • Manage and mentor cross-functional teams across consulting, product development, and data engineering. • Foster collaboration between AI product teams, analytics experts, and sector specialists to deliver integrated solutions. • Drive knowledge sharing and capability-building within the team.