Manager - Data & Artificial Intelligence

Key Responsibilities :

- Understand client business priorities, leadership agenda, and industry landscape.

- Build and manage strong client relationships, providing strategic insights and industry expertise.

- Ensure data quality, accuracy, and consistency across all delivery initiatives.

- Lead data analysis, profiling, modeling, mapping, and query design activities.

- Review and govern data queries and DML to maintain performance and compliance.

- Define and enforce standards and best practices for data analysis, modeling, and query development.

- Develop and maintain an enterprise data dictionary aligned with business glossary and data assets.

- Define and manage the organization's data landscape, including overlays with technology architecture, end-to-end data flows, transformations, and lineage.

- Partner with the data governance team to ensure adherence to organizational data principles and guidelines.

- Delivery experience in industries like Resources, Consumer Goods, Life sciences

Professional & Technical Skills :

- Proven experience in predictive analytics and data science modeling.

- Hands-on expertise with at least one major analytics product/platform.

- Strong understanding of big data, data lakes, machine learning, and conversational AI.

- Experience deploying models on cloud platforms (AWS, Azure, GCP).

- Prior consulting experience, preferably with exposure to C-suite stakeholders.

- Build, train, and deploy data science models using Python, Spark, and cloud platforms.

- Drive analytics initiatives using platform-/cloud-based approaches.

- Ability to articulate a clear point of view on analytics trends and service

- Build, train, and deploy data science models using Python, Spark, and cloud platforms.

- Drive analytics initiatives using platform-/cloud-based approaches.

- Ability to articulate a clear point of view on analytics trends and service