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EY EY - GDS Consulting AI DATA Data Engineer Manager 
India, Karnataka, Bengaluru 
381764587

Today

About the Role

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

AI & Data Consulting for Private Equity

  • Partner with PE Operating Partners and portfolio leadership teams to define and execute 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.

GenAI & Digital Transformation

  • Lead GenAI-driven initiatives, including solution ideation, prototyping, and scaling across portfolios.
  • 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.

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.

Business Development & Client Management

  • Work closely with PE account leaders to identify opportunities and develop tailored value propositions.
  • Support pursuit strategy, proposal development, and client orals for strategic PE 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.

Key Requirements

  • Educational Background
  • MBA / PGDM / Master’s degree in Data Science, AI, Analytics, or Business Management.
  • Engineering or quantitative background preferred.

Professional Experience

  • 10–15 years of experience in AI, data analytics, digital transformation, and strategy consulting, preferably within private equity, M&A, or portfolio transformation contexts.
  • Proven track record in AI-driven transformation programs, including GenAI, predictive analytics, and process mining.
  • Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting.

Technical Expertise

  • Strong understanding of GenAI frameworks, 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.
  • Familiarity with process mining tools like Celonis, Signavio, or PAFnow.

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, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.)

Why Join Us

  • Be at the forefront of AI-driven innovation in the Private Equity sector.
  • Work with global PE clients and their portfolio companies to drive real business impact.
  • Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.



EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.