Senior Manager: Data Delivery (Global Skin Health)
Piscataway, NJ, US
- Pay
USD 140,000–174,000/yearAnnual period assumed · Location-specific pay — pay source
Version Control and CI/CD automation through GitHub. Compensation and Benefits Salary Range $140,000.00 - $174,000.00 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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingThe Senior Manager, Data Delivery – Global Skin Health is a pivotal role dedicated to building and scaling the core data foundation that fuels our global skin reporting and insights.
Hybrid policy requiring 4 days per week in the office.
What you’ll bring
All qualificationsCore experience
- 6+ years of hands-on experience building and scaling robust data applications within complex environments.
- Bachelor’s degree in Computer Science, Data Analytics, or a related technical field.
Preferred experience
- Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives.
Qualification wording
6+ years of hands-on experience building and scaling robust data applications within complex environments.
Bachelor’s degree in Computer Science, Data Analytics, or a related technical field.
Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives.
Tools in this posting
- SQL
- dbt
- Snowflake
- Airflow
- Terraform
Source — Tool mentions in context
- Agile/Scrum Governance: Running standups, sprint planning, and removing roadblocks for data engineers and analysts. - 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. - Resource Management: Evaluate requirements to allocate internal resources and oversee external data engineering consultants, monitoring their performance and project progress.
- Data Warehouse Architecture natively utilizing Snowflake. - Data Transformation Pipelines built with dbt and SQL. - Workflow Orchestration using Apache Airflow.
- Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent. - Data Warehouse Architecture natively utilizing Snowflake. - Data Transformation Pipelines built with dbt and SQL.
- Data Transformation Pipelines built with dbt and SQL. - Workflow Orchestration using Apache Airflow. - Infrastructure as Code managed via Terraform.
- Workflow Orchestration using Apache Airflow. - Infrastructure as Code managed via Terraform. - Version Control and CI/CD automation through GitHub.
About Colgate-Palmolive
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jul 20, 2026 · 87d ago
- Recorded sightings
- 710
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
No Relocation Assistance Offered
Job Number #174935 - 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 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.
Role Summary
The Senior Manager, Data Delivery – Global Skin Health is a pivotal role dedicated to building and scaling the core data foundation that fuels our global skin reporting and insights. In this role, you will lead the modernization of our Skin Health brands data infrastructure, transforming disparate sales, marketing, field force, and e-commerce touchpoints into unified, secure, and highly available data assets. This foundational layer serves as the definitive single source of truth for Global Skin Health brands reporting.
Work Location & Team Structure
-
Hybrid policy requiring 4 days per week in the office.
-
Direct reports include 1 remote data engineering/analytics resource.
Responsibilities:
Strategic Leadership
-
Roadmap Alignment: Strategically align data roadmaps with Skin Health priorities to ensure that infrastructure robustly supports their goals.
-
Technical Translation: Translate complex business requirements into scalable technical specifications
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Architecture Governance: Govern data quality and architecture standards across brands to ensure seamless integration and reliability.
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Strategic Integration: Partner with analytics director to ensure data development priorities are aligned with overarching 2030 strategic goals.
Delivery & Execution
-
Agile/Scrum Governance: Running standups, sprint planning, and removing roadblocks for data engineers and analysts.
-
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.
-
Resource Management: Evaluate requirements to allocate internal resources and oversee external data engineering consultants, monitoring their performance and project progress.
-
Infrastructure & Compliance: Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements to mitigate corporate risk.
Required Experience
-
6+ years of hands-on experience building and scaling robust data applications within complex environments.
-
Bachelor’s degree in Computer Science, Data Analytics, or a related technical field.
Preferred Experience
-
Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives.
-
Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent.
-
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.
Compensation and Benefits
Salary Range $140,000.00 - $174,000.00 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 employee's 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 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.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.colgate.com. The employer’s form will show what is required.
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Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Version Control and CI/CD automation through GitHub. Compensation and Benefits Salary Range $140,000.00 - $174,000.00 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.
- Location & working pattern
Piscataway, NJ, US
Work Location & Team Structure - Hybrid policy requiring 4 days per week in the office. - Direct reports include 1 remote data engineering/analytics resource. Responsibilities:
More source context
- Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives. - Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent. - Data Warehouse Architecture natively utilizing Snowflake.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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