Role & responsibilities
Understand client business priorities, leadership agenda, and industry landscape.
Build and manage solid 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 organizations 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

Preferred candidate profile
Proven experience in predictive analytics and data science modeling.
Hands-on expertise with at least one major analytics product/platform.
Robust 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 explicit point of view on analytics trends and services.

📌 Data & Ai, Manager Bengaluru
🏢 Mount Talent Consulting
📍 Bengaluru