Senior Manager: Data Delivery (Global Skin Health)

Colgate • Piscataway, NJ

1d • Hybrid

About The Position

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. The role is hybrid, requiring 4 days per week in the office, and includes direct reports of 1 remote data engineering/analytics resource.

Requirements

• 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.

Nice To Haves

• 3+ years leading the delivery of high-impact data and analytics initiatives.
• 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.

Responsibilities

• Strategically align data roadmaps with Skin Health priorities to ensure that infrastructure robustly supports their goals.
• Translate complex business requirements into scalable technical specifications.
• Govern data quality and architecture standards across brands to ensure seamless integration and reliability.
• Partner with analytics director to ensure data development priorities are aligned with overarching 2030 strategic goals.
• Run standups, sprint planning, and remove roadblocks for data engineers and analysts.
• 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.
• Evaluate requirements to allocate internal resources and oversee external data engineering consultants, monitoring their performance and project progress.
• Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements to mitigate corporate risk.

Benefits

• Medical
• Dental
• Vision
• Basic life insurance
• Paid parental leave
• Disability coverage
• Participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements.
• A minimum of 15 vacation/PTO days
• 13 paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior