Data Delivery Lead - Supply Chain

Colgate•Piscataway, NJ

7d•Onsite

About The Position

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. We are looking for a technically grounded Data Delivery Lead to drive the execution of data initiatives for our Supply Chain business unit. You will serve as the primary bridge between business stakeholders and our technical engineering teams, leading the delivery of complex data pipelines and analytics solutions. In this role, you are not just a project manager. You are a Technical Lead who understands the code and the business logic. You are able to work with a modern technology stack that includes Snowflake, dbt, Airflow, github, etc. You will manage scope, resources, and timelines while actively overseeing development, removing technical blockers, and ensuring our data products deliver real functional value. You will partner closely with the Data Architect—while they design the scalable architecture, you ensure the solution is built correctly, on time, and meets the business need. This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position.

Requirements

Bachelor's degree in Computer Science, Information Technology, Mathematics, Engineering, or a related field.
8+ years of hands-on experience working with data engineering tools such as Snowflake, dbt, SQL, Airflow, Python, GitHub, Sigma and Domo
3+ years leading delivery for Supply Chain operational analytics
Strong understanding of supply chain processes and KPIs (forecast accuracy, OTIF, inventory turns, lead times, supplier spend efficiency etc)
Experience integrating data from ERP and supply chain execution systems
Proficiency in Data Modeling, Data Warehousing, and Pipeline building (to support technical oversight).
Proven experience in project management and program management, fostering collaboration across cross-functional teams.
Strong leadership qualities with the ability to prioritize and balance competing needs from various stakeholder groups.
Excellent communication skills with the ability to gather and relay information and timelines to the organization.
Advanced understanding of an organization’s strategic initiatives and objectives.
Ability to manage complexity to provide customers with simple solutions.

Nice To Haves

Experience with SAP, Oracle, or leading planning platforms (Kinaxis, o9, Blue Yonder)
Exposure to advanced analytics / optimization / AI use cases in supply chain
Master’s Degree.
Background in consumer packaged goods (CPG) or Supply Chain.
Experience working in a federated data environment.
Experience managing the design and delivery of highly technical and complex platforms.

Responsibilities

Coordinate technical resources, assign work to developers, and monitor daily progress. You are the first line of defense for removing technical blockers for the engineering team.
Act as the primary backup for the Data Architect on technical reviews. You are responsible for performing Pull Request (PR) and code reviews to ensure quality and adherence to platform standards.
Ensure data pipelines are delivered according to business needs and platform standards. You will oversee the development lifecycle to ensure what is built matches the technical specifications.
Collaborate with the Data Architect and Platform teams to ensure development activities conform to architectural standards (Snowflake/dbt best practices).
Oversee project timelines, milestones, key risks, and deliverables to ensure successful project completion.
Lead the delivery of multiple ongoing projects, ensuring alignment with program and organizational roadmaps.
Proactively monitor risks, identify potential issues, and develop mitigation strategies to communicate effectively with project stakeholders.
Apply Agile project management concepts to ensure solutions delivered are aligned with business goals and deliver a good user experience.
Own delivery of data initiatives across demand & supply planning, inventory & working capital, procurement & supplier performance, manufacturing & capacity utilization, transportation, logistics, and order fulfillment.
Deliver trusted datasets and analytics for Inventory levels, OTIF, forecast accuracy, lead time, fill rate, and cost-to-serve, supplier spend efficiency, metrics etc.
Lead data delivery across core supply chain systems, including but not limited to ERP (SAP S/4HANA, ECC, Oracle), Planning tools (Kinaxis, o9, Blue Yonder, SAP IBP), WMS, TMS, MES, Ariba and supplier systems.
Serve as the single point of contact for assigned Supply Chain data initiatives regarding all data engineering and delivery needs.
Maintain strong client relationships through regular communication and meetings, ensuring expectations are met or exceeded.
Translate business needs into technical requirements and long-term scalable solutions.
Facilitate communication and collaboration between business teams and data engineers.
Evaluate requirements and allocate resources based on priorities, availability, and expertise.
Manage Data Engineering Consultants across internal teams, monitoring their performance, utilization, and project progress.
Mediate any issues or challenges between consultants, technical teams, and project stakeholders.
Enforce standards, policies, and procedures for data engineering practices to ensure consistency.
Ensure data pipelines and solutions are developed per aligned standards.
Enforce best practices for data ingestion and ensure the team adheres to the standard internal stack.