Sr. Technology Associate (Mumbai, MH, IN)

Relocation Assistance Offered Within Country Job Number #177131 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Brief introduction - Role Summary/Purpose : The Data Analytics Specialist/Sr. Specialist for Supply Chain Analytics at Colgate-Palmolive is responsible for building, optimizing, and maintaining data pipelines and analytical model solutions tailored to supply chain operations. This role ensures the efficient collection, integration, and transformation of large datasets to enable actionable insights and decision support. The primary purpose of this position is to deliver high-quality, reliable, and well-structured data for advanced analytics and reporting. The Data Analytics Specialist/Sr. Specialist collaborates closely with supply chain and other functions, IT, and business teams to understand business requirements and implement data solutions that enhance supply chain performance, drive process improvements, and contribute to overall business objectives.

Responsibilities :

• Design, build, and maintain scalable data pipelines for supply chain analytics and reporting.

• Collect, clean, and transform large and complex supply chain datasets from multiple sources.

• Create and maintain data models, integration pipelines, data warehouses & Lakehouse architectures for supply chain data.

• Work closely with supply chain and other functions, IT, and business teams to understand data and reporting requirements.

• Implement data integration solutions to support advanced analytics and predictive modeling.

• Monitor and troubleshoot data workflows to ensure timely and accurate data delivery.

• Ensure data solutions adhere to data governance, security, and compliance standards.

• Support the development and maintenance of data warehouses and analytics platforms.

• Document data flows, pipelines, and processes for consistency and knowledge sharing.

• Stay updated on emerging technologies and best practices in data engineering and supply chain analytics.

• Maintain production systems reliability through correct utilization of IT standards and governance processes

• Collaborate with business / functional team, develop detailed plans and accurate estimates for completion of build, system testing and implementation of project

Required Qualifications and skills :

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
• Proven 3 to 4 years of experience working in following:
  • Proficiency in medallion and Lakehouse architectures, data modeling, database design (relational and non-relational), and ETL (Extract, Transform, Load) processes along with Data orchestration tool - Apache Airflow.. Experience working with Visualisation tools (e.g., Sigma, DOMO).
  • Experience with modern data warehousing solutions e.g., Snowflake and Data Transformation platform - DBT.
  • Hands-on expertise in designing data architectures that support scalable AI/ML models and pipelines. Experience designing frameworks for Agentic AI, enabling autonomous AI agents to interact with databases, execute workflows, and make data-driven decisions.
  • Proficiency in data quality & metadata tools (catalogs), data integration tools and programming languages such as SQL, Python and Version Management tools - Github.

Preferred Qualifications and skills :

• Strong presentation, communication and collaboration skills to work effectively with technical and non-technical stakeholders.
• Solid understanding of data governance, data security & PI data management, and data quality best practices.
• Familiarity with supply chain processes, analytics, and key performance indicators (KPIs) is highly desirable.

Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

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