EY - GDS Consulting - AIA - Gen AI - Manager

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.

Skills and Attributes:

Educational Background

• MBA / PGDM / master’s degree in data science, AI, Analytics, or Business Management. Engineering or quantitative background preferred.

Professional Experience

• 10–12 years of experience in Agentic AI, digital transformation, and strategy consulting.
• Proven track record in AI-driven transformation programs, including Agentic AI, GenAI, predictive analytics, and process mining.
• Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting.

Soft Skills

• Exceptional client engagement and stakeholder management skills, especially with C-suite executives.
• Strong problem-solving mindset with the ability to translate AI into business value.
• Excellent communication, presentation, and leadership abilities.

Preferred Certifications

• GenAI and LLM focussed, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.)

Why Join Us

• Be at the forefront of AI‑driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
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