Sr. Expert, Data Architecture

Relocation Assistance Offered Within Country
Job Number #177269 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising 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 Delivery Lead at Colgate-Palmolive is responsible for the data models and products Colgate uses, ensuring they meet the needs of those consuming the data. The Data Delivery Lead will manage the end-to-end execution, timelines, and cross-functional delivery of data solutions, migrations, platforms, and analytics initiatives. They also oversee data quality activities within engineering teams and ensure security and backup strategies. Oversee the pipelines that move and transform our data, ensuring it's clean, validated, and ready for use.

Responsibilities :

• Design and deliver data products and models that meet business requirements.

• Oversee data quality checks and validation within data engineering processes.

• Ensure data security and access controls are implemented for data products.

• Manage the lifecycle of data products, from development to retirement.

• Collaborate with Data Architects and Data Engineers to build efficient data solutions. Ensures requirements are met and signs off on the data

• Provide technical guidance and thought leadership to the analytics team.

• 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 :

• Proven 7 to 10 years of experience in data solutions including 3 to 5 years as a Data Delivery, data engineer, or in a similar data-focused role with exposure to Safe Agile environment, preferably within FMCG industries.

• Strong proficiency in data modeling, database design and ETL processes along with Data orchestration tools. In-depth knowledge and extensive hands-on experience working with Apache Airflow, dbt, Python, and Snowflake. Extensive integration experience with all types of data file formats, specifically modern formats including Apache Iceberg, Parquet, and JSON. AI, ML & Advanced Artificial Intelligence

• Awareness of modern data stack tools, orchestration workflows, BI/analytics reporting (e.g., Power BI) and basic ML/AI pipelines

• Knowledge of data quality frameworks, anomaly detection, data lineage, and privacy/compliance standards

• Proven experience acting as a CI/CD workflow reviewer and approver, ensuring code quality, security, and smooth deployments. Hands-on experience in AI/ML routine integration and applications is desirable.

• Strong background in executing and managing projects using Agile methodologies, with high proficiency in tools such as Snowflake, DBT, Version Management tools - Github and Jira. Experience working with Visualisation tools (e.g., Sigma, DOMO).

• Translating complex technical requirements for non-technical senior business leaders while aligning engineering teams

• Driving sprint planning, backlog grooming, continuous improvement, and cross-team alignment.

• Problem-Solving & Risk Mitigation: Deconstructing delivery roadblocks, root-cause analysis, and negotiating trade-offs between scope, timeline,

Preferred Qualifications and skills :

• Master in Computer Science with Specialisation in Data Science is preferable.

• Solid understanding of data governance, data security, Metadata management and data quality best practices.

• Familiarity with supply chain processes, analytics, and key performance indicators (KPIs) is highly desirable.

• Excellent presentation, problem-solving skills, strong communication and collaboration skills to work effectively with IT and business stakeholders.

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, colour, 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.