VP/AVP - Engagement Lead - Analytics/AI & Cloud Platform

Role : VP / AVP-Engagement Lead ( Analytics , AI & Cloud Platform)

Key Responsibilities :

- Drive client value creation

- Understand the client's business, priorities, and leadership agenda.

- Managing client relationships and providing industry insight and experience across the Industry.

- Making use of Traditional and New Generation Digital and Cloud offerings to transform the way our clients do business.

- Responsible for data quality and data accuracy across all group delivery initiatives.

- Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.

- Responsible for reviewing and governing data queries and DML.

- Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.

- Accountable for the performance, quality, and alignment to requirements for all data query design and development.

- Responsible for defining standards and best practices for data analysis, modeling, and queries.

- Responsible for understanding end-to-end data flows and identifying data

- Partners with the data governance team to ensure solutions adhere to the organization's data principles and guidelines.

- Responsible for governing data access for all group's data assets.

- Responsible for solving data related issues and communicating resolutions with other solution domain

Professional Qualifications / Experience:

- Master's degree in business administration (MBA) or Post Graduate Degree in Management (PGDM) from premier institutes preferred

- Experience in Predictive Analytics

- Hands-on project experience in at least one of the above analytics products

- Should understand how in-memory analytics works and how to leverage in-Memory analytics

- Experience in Data Science based modeling using Python, spark, Building & Deploying models on Cloud

- Should understand analytics concepts such as big data, data lake, predictive analytics, embedded analytics, machine learning and conversations AI

- Should be comfortable with a platform-/cloud-based approach for analytics and should have a point of view on analytics as a service

- Experience of working in a consulting firm will be preferred Experience of working with C-level executives at the client organization