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Gen AI - Manager
EY
Mumbai
10-12 years
Today
$62.7K–72.3K/yr
Full-time
Onsite
Skills Required
LLM
RAG
Agentic AI
Gen AI
LangChain
Python
Azure
AWS
GCP
Celonis
Signavio
PAFnow
REST API
JSON
Async workflows
Description
EY is hiring a Manager for its AI & Data Tech Consulting team within GDS Consulting. The role focuses on Agentic AI, GenAI, analytics, and data-driven transformation for enterprise and portfolio clients.
Company: EY
Role: EY - GDS Consulting - AIA - Gen AI - Manager
Location: Mumbai | Anywhere in Country
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
Qualification
- MBA
- PGDM
- master’s degree in data science
- master’s degree in AI
- master’s degree in Analytics
- master’s degree in Business Management
- Engineering background preferred
- quantitative background preferred
- GenAI and LLM focussed certifications
- AI/ML certifications
- data analytics certifications
Responsibilities
- 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
- Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies
- Assess data readiness for AI across quality, lineage, security, and architecture
- Review enterprise data across ERP and core systems to identify gaps and issues
- Define prioritized actions to fix data gaps and enable AI use cases
- Apply assessments during diligence, post-merger integration, and 100-day plans
- Convert findings into business cases with ROI and value impact
- Lead Agentic AI initiatives by translating business and functional requirements into agent architectures, workflows, and capabilities
- Build proprietary AI/ML accelerators for customer care, software development, predictive analytics, and operational automation
- Architect data solutions using cloud platforms, data engineering frameworks, and predictive analytics models
- Guide portfolio companies on data governance frameworks, data marketplaces, and analytics COEs
- Design end-to-end data transformation programs from roadmap creation to solution implementation
- 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
- Manage and mentor cross-functional teams across consulting, product development, and data engineering
- Foster collaboration between AI product teams, analytics experts, and sector specialists
- Drive knowledge sharing and capability-building within the team
Additional Responsibilities
- Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics
- Collaborate with global clients and teams across EY service lines, geographies, and sectors
Nice To Have
- Knowledge of business process transformation
- Familiarity with process mining tools like Celonis, Signavio, or PAFnow
- Experience with Agentic AI frameworks such as LangChain, semantic kernels, or Autogen
- Strong understanding of cloud platforms, data visualization tools, and analytics solutions
- Exposure to ERP transformations such as Dynamics 365, SAP, or Oracle and portfolio tech integrations
- 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
- GenAI and LLM focussed certifications from Google, Microsoft, AWS, Coursera, etc.
More Skills
analytics, data-driven platforms, AI strategy consulting, data assessments, AI implementation playbooks, frameworks, accelerators, technology cost optimization, data monetization, digital transformation, AI-readiness evaluation, data quality, data lineage, data security, data architecture, ERP, core systems, AI architectures, workflows, AI/ML accelerators, customer care, software development, predictive analytics, operational automation, process mining, semantic kernels, Autogen, basic data structures and algorithms, cloud platforms, data visualization tools, analytics solutions, data engineering frameworks, predictive analytics models, data governance, data marketplaces, analytics COEs, ERP transformations, Dynamics 365, SAP, Oracle, portfolio tech integrations, proposal development, client orals, global analyst briefings, industry forums, thought leadership, cross-functional teams, consulting, product development, data engineering, AI product teams, analytics experts, sector specialists
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