Data & AI, Manager

Role & 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 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.