Director, Data Engineering & Analytics

No Relocation Assistance Offered
Job Number#170957 - Piscataway New Jersey United States

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 valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets build a brighter healthier future for all.

Director Data Engineering & Analytics

The Director of Data Engineering & Analytics leads the strategic direction and technical implementation of our data ecosystem. This is a Player-Coach role: you will lead a team and define the roadmap but you will also roll up your sleeves to architect solutions contribute code and drive technical excellence.

You will bridge the gap between complex scientific data (lab experiments formulation efficacy) and actionable business insights. You will own the full data lifecyclefrom ingestion and pipeline orchestration to governance and final visualizationensuring our R&D teams have the data they need to innovate faster.

Key Responsibilities

1. Technical Leadership & Architecture (The Player)

• Hands-on Engineering: Architect and maintain robust data pipelines using Airflow and Python. Actively contribute to the codebase and perform code reviews to ensure high standards.

• Infrastructure Management: Oversee container orchestration using Kubernetes and manage CI/CD workflows via GitHub Actions to ensure seamless deployment.

• Data Modeling: Design scalable data models that can ingest and harmonize disparate data sources including complex scientific data sets and consumer feedback.

• Tech Stack Evolution: Evaluate and implement modern tools (e.g. Ingestion tools Cloud Data Warehouses ML Ops and AI Ops) to future-proof our capabilities.

2. Strategy & Team Management (The Coach)

• Strategic Roadmapping: Act as the Product Owner for the data platform. Partner with R&D Supply Chain and Quality leaders to define KPIs and build a roadmap that directly impacts product quality and innovation.

• Team Mentorship: Lead mentor and grow a team of analytics engineers and data scientists. Foster a culture of engineering excellence curiosity and scientific rigor.

• Data Governance: Establish and enforce data governance policies to ensure the integrity reproducibility and security of scientific data (essential for regulatory and quality compliance).

• Translation: Translate complex technical challenges into clear insights for non-technical stakeholders ensuring data is accessible and understandable across the organization.

Required Qualifications

• Education: Bachelors degree in Computer Science Data Science Engineering or a related scientific field.

• Experience:

  • 7 years of experience in scientific and/or data-related roles with a focus on product quality and R&D applications.

• The Stack: Proven expertise in:

  • Languages: Advanced Python and SQL skills.

  • Orchestration: Apache Airflow (or similar workflow management tools).

  • DevOps/Infra: Terraform Kubernetes Docker and CI/CD (specifically GitHub Actions).

  • Version Control: Git flow best practices.

Preferred Qualifications

• Masters degree in Computer Science Data Science Engineering or a related scientific field.

• Experience with Cloud Platforms (GCP).

• Familiarity with Modern Data Warehouses (Snowflake).

• Experience implementing and maintaining Machine Learning models for formulation/optimization.

• Background in Life Sciences biotech or consumer goods R&D.

• Domain Knowledge: Experience working with scientific R&D clinical or manufacturing data is highly preferred. You understand that data integrity in a science context means reproducibility and precision.

• Soft Skills: Excellent ability to translate complex data into practical insights for a scientific audience. Strong communication and collaboration skills to work effectively with both technical and non-technical stakeholders.

Compensation and Benefits
Salary Range $175000.00 - $200000.00 USD

Pay is determined based on experience qualifications and location. Salaried employees may also be eligible for discretionary bonuses profit-sharing and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package including medical dental vision basic life insurance paid parental leave disability coverage and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employees hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion
Our journey begins with our peopledeveloping 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.

For additional Colgate terms and conditions please click here.

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