Colgate Palmolive
Assistant Manager,Digital Data Delivery
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
15 September 2026
What they need
Assistant Manager, Digital Data Delivery
Mumbai, Maharashtra, India
Job Overview
The Senior Manager, Data Delivery - Consumer/Media/Cross commercial analytics is a pivotal role dedicated to building and scaling the core data foundation that fuels our global reporting and insights. In this role, you will enable/ lead the modernization of our data infrastructure, transforming disparate consumer, sales, marketing touchpoints into unified, secure, and highly available data assets and AI ready.
Key Responsibilities
Delivery & Execution
Pipeline Management: Manage the end-to-end delivery of robust Snowflake data pipelines, leveraging modern engineering tools like dbt, SQL, and Apache Airflow for sophisticated workflow orchestration. Experienced leveraging AI for data engineering desired.
Data Semantic Layer: Leverage the dbt Semantic Layer to define standardized business metrics so that both human analysts and LLM agents query identical, trusted definitions.
Cost, governance & privacy Compliance: Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements including data privacy, consent to mitigate corporate risk.
Data Quality, Observability, and LLM Trust : implement comprehensive data quality tests,alongside detection anomaly, data drift.Maintain dbt documentation & lineage tracking of data source to
Experience & Education
Technical Experience: At least 6-10+ years of hands-on experience building and scaling robust data applications within complex environments.
Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives.
Education: Bachelor's degree in Computer Science, Data Analytics, or a related technical field.
Desirable : Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent.
Technical Skills
Data Warehouse Architecture natively utilizing Snowflake.
Data Transformation Pipelines built with dbt and SQL.
Workflow Orchestration using Apache Airflow.
Infrastructure as Code managed via Terraform.
Version Control and CI/CD automation through GitHub.
AI foundation concepts: Knowledge of Snowpark, Cortex AI SQL, Dynamic tables, vector operations.
Soft Skills
Thrives in ambiguity within fast-paced digital environments.
Excellent negotiation skills for managing competing product priorities.
Leadership: Strong leadership qualities with the ability to prioritize and balance competing needs from various stakeholder groups.
Communication: Excellent communication skills with the ability to gather and relay information and timelines to the organization.
Experience Level
Mid Level
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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