Senior Consultant - Tech Consulting - National - CNS - TC - AI AND DATA - New Delhi
at Ernst & Young
Posted a day ago
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Senior Consultant in Tech Consulting with a focus on AI/ML and data infrastructure. Leads strategic AI/ML platform initiatives, guiding delivery from planning to production while bridging data science teams and business stakeholders. Drives the adoption of Data Science/AI/ML best practices using Azure ML, Azure Pipelines, Git Repos, and automated testing frameworks, ensuring scalable, secure, and compliant deployments. Manages cross-functional stakeholders and supports sprint planning, progress tracking, and DevOps-enabled culture across multiple AI/ML use cases.
Job Title: Business Analyst – AI/ML
Location: Pan-India
Job Type: Experience: Minimum 2 years of relevant experience in AI/ML based technology projects
Domain: AI/ML Platforms and Infrastructure
Job Summary:
We are looking for a dynamic Business Analyst with hands-on experience in Data Science/Gen AI and a strong track record of delivering AI/ML projects. This role will be responsible for orchestrating the successful delivery of data science and machine learning infrastructure initiatives, ensuring seamless integration between development, deployment, and operations.
The ideal candidate will bridge the gap between technical teams (data scientists and other technical developers) and business stakeholders, while driving execution excellence across multiple AI/ML use cases.
Key Responsibilities:
- Lead strategic AI/ML platform initiatives, managing all aspects of use case delivery from planning to delivery.
- Collaborate closely with data science, MLOps, cloud, and infrastructure teams to define and manage platform roadmaps.
- Ensure scalable, secure, and compliant deployment of AI/ML models and pipelines in production environments.
- Drive the adoption of Data Science/AI/ML best practices using Azure ML, Azure Pipelines, Git Repos, and automated testing frameworks.
- Monitor progress across multiple AI/ML use cases, ensuring alignment with technical goals, timelines, and budgets.
- Facilitate sprint planning, backlog grooming, daily standups, and retrospectives for cross-functional teams.
- Communicate project status, risks, and issues to stakeholders.
- Foster a DevOps culture across AI/ML and engineering teams to accelerate experimentation and model deployment cycles.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Master’s degree in Business Administration with Consulting experience in Analytics.
- Minimum 2 years of business analyst experience in AI/ML.
- Familiarity with Python, Power BI. Experience in Gen-AI/Copilot would be added advantage.
- Experience delivering end-to-end machine learning lifecycle and production environments (MLOps).
- Proven ability to manage cross-functional stakeholders including engineers, data scientists, cloud architects, and business teams.
- Strong communication and organizational skills.
Preferred Qualifications:
- Experience with Python, Gen AI (RAG), PowerBI and other Analytics tools & technologies
- Exposure to responsible AI, and AI/ML compliance practices.
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.
What we offer
Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.
EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
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