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.
- 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 services.

📌 Data & AI, Manager (Mumbai)
🏢 Mount Talent Consulting
📍 Mumbai