Job Summary:
As a Senior Manager – AI Strategy & Advisory Lead, you will be responsible for driving enterprise-level AI strategy consulting engagements for EY’s global clients. You will help organizations design responsible, scalable, and value-centric AI roadmaps, govern enterprise data readiness, assess AI infrastructure needs, and operationalize AI through modern delivery models.
Key Responsibilities:
- Client Engagement & Delivery
- Lead AI strategy and advisory engagements across domains such as AI-enabled business transformation, AI/ML operating models, data readiness, infrastructure modernization, and governance.
- Engage with CxOs and business/technology leaders to assess AI maturity, define strategic priorities, and develop roadmaps aligned with their enterprise objectives.
- Oversee development of AI opportunity portfolios, ROI assessments, and implementation blueprints.
- Ensure compliance with responsible AI principles (ethics, fairness, transparency, privacy, etc.) in all solution approaches.
- Practice Leadership
- Shape and evolve EY’s AI Strategy & Advisory offerings and go-to-market (GTM) assets including methodologies, accelerators, and thought leadership.
- Contribute to EY’s global AI Center of Excellence (CoE) with reusable frameworks, playbooks, and client value stories.
- Mentor and lead a team of consultants and managers, building a culture of innovation, continuous learning, and delivery excellence.
- Team Leadership & Capability Building
- Build and lead a high-performing team of AI strategists, data advisors, and transformation consultants.
- Mentor team members on strategic thinking, client engagement, and technical depth across data and AI domains.
- Establish capability frameworks, training plans, and reusable delivery accelerators for AI strategy engagements.
- Foster a collaborative, innovative, and purpose-driven team culture aligned with EY values.
- Business Development
- Lead business development activities including proposal development, client workshops, solutioning, and account growth.
- Collaborate with industry and account teams to identify, qualify, and shape AI-led opportunities.
Required Qualifications:
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or Electronics from a recognized university (e.g., B.E./B.Tech).
- Master’s degree: M.Tech or MBA with specialization in Information Systems, Infrastructure Management, or Technology Strategy
- Relevant certifications are a plus - AI/ML certifications (e.g., TensorFlow, Microsoft AI Engineer, AWS Machine Learning Specialist)
- Cloud certifications (Azure/AWS/GCP) will be an added advantage
- 12–16 years of relevant experience in management consulting, strategy, or AI-driven digital transformation roles.
- Deep understanding of AI/ML technologies, business applications, and emerging trends.
- Familiarity with AI/ML platforms and ecosystem tools (e.g., Azure ML, AWS Sagemaker, Vertex AI, DataRobot) will be a plus
- Proven track record in leading AI or advanced analytics strategy engagements for large enterprises.
- Knowledge of AI model lifecycle, responsible AI principles, data platforms, and cloud-native architectures.
- Strong business consulting and stakeholder engagement skills, with ability to translate business needs into actionable AI strategies.
- Experience working across industries such as financial services, healthcare, consumer, or manufacturing is preferred.
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.