Job Description
This role sits at the intersection of supply chain business operations and enterprise data engineering, focused on driving delivery of data products across a newly formed data organization at Colgate.
The Data Delivery Lead will act as the bridge between business stakeholders and technical teams, translating requirements into data solutions and ensuring execution from intake through delivery.
This individual will not be hands-on building but will own end-to-end execution, working across data architects and engineers while ensuring governance and alignment with business needs.
This is a critical hire due to a loss of domain expertise internally, requiring someone who can operate as both a functional SME and technical translator.
Day-to-Day Responsibilities
• Partner with supply chain stakeholders to gather and define data requirements
• Translate business needs into BRDs and technical direction
• Work with data architects on solution design
• Oversee data engineers and validate outputs
• Review models and approve PRs in Git
• Operate across multiple pods supporting different data initiatives
• Drive communication between business and technical teams
• Ensure adherence to governance, security, and architecture standards
• Manage timelines, priorities, and delivery across initiatives
• Act as a functional SME + translator for supply chain data
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 6–8+ years of experience in:
○ Data / analytics / engineering environments
○ Supply chain, manufacturing, or operations domains
• Strong experience translating business requirements into technical/data solutions
• Experience working cross-functionally across:
○ Data engineers / data architects
○ Business stakeholders (supply chain, ops, etc.)
• Proven ability to own work end-to-end:
○ Intake → BRD creation → execution oversight → delivery validation
• Strong technical fluency:
○ Python, SQL, Snowflake, DBT
• Understanding of:
○ Data pipelines, transformations, and warehouse structures
• Ability to balance business & technical conversations
• Experience working within governance frameworks / enforcing standards
• Ability to support multiple projects/pods simultaneously
• Strong stakeholder management
• Confidence to push back and challenge business stakeholders
Nice to Have Skills & Experience
• Experience in CPG or large enterprise supply chain environments
• SAP or enterprise system exposure
• Experience with:
○ Sigma / Domo (or similar BI tools)
○ Retool or low-code app platforms
• Familiarity with:
○ Git / PR approvals
○ Agile / pod-based delivery models
• Exposure to data lake / ML environments
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.