Senior Consultant/Assistant Manager

Key Responsibilities

• Design and deliver end-to-end AI, machine learning, and data science solutions across multiple client engagements.
• Develop and implement advanced analytics, predictive modeling, and generative AI use cases.
• Architect and deploy AI and ML solutions across enterprise platforms and cloud environments.
• Support the design and implementation of generative AI architectures and AI-enabled applications.
• Collaborate with data engineers, platform teams, and business stakeholders to operationalize AI solutions.
• Implement and support MLOps and AIOps practices to enable scalable and production-ready AI.
• Prepare and deliver high-impact client presentations, technical designs, and executive-level materials.
• Contribute to AI and Data & AI proposal development, solution shaping, and estimations.
• Guide junior team members and contribute to EY assets, methodologies, and accelerators.

Skills and Attributes for Success

• Strong hands-on experience in Python and SQL for data science and analytics use cases.
• Solid understanding of data modeling and advanced analytics techniques.
• Proven experience with machine learning, deep learning, and generative AI implementations.
• Strong knowledge of AI platforms, infrastructure, and enterprise deployment patterns.
• Experience with cloud and on-premise technologies supporting AI, ML, MLOps, and AIOps.
• Working knowledge of data management and governance tooling such as OpenMetadata, Dataplex, Informatica, Collibra, or similar is a plus.
• Excellent storytelling skills with the ability to articulate AI value to technical and business audiences.
• Strong business and commercial acumen within a consulting delivery environment.

Additional Experience (Advantageous)

• Exposure to data strategy, AI strategy, data governance, and AI governance initiatives.
• Understanding of data quality frameworks and regulatory requirements including NDI, NDMO, and PDPL.
• Experience contributing to large-scale data and AI strategy or transformation programs.

Experience and Qualifications

• 3 7+ years of experience in Data & AI consulting, with a strong focus on AI and data science delivery.
• Proven track record of delivering machine learning or AI solutions in a consulting or enterprise environment.
• Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.