Sr. Manager, SC Data Delivery

No Relocation Assistance Offered

Job Number #171063 - 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.

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.*
* ** What you'll do*
* ** 1. Technical Leadership & Oversight*
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** Technical Coordination:
** 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.

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** Code & Quality Reviews:
** 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.

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** Pipeline Delivery:
** 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.

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** Platform

Collaboration:

** Collaborate with the Data Architect and Platform teams to ensure development activities conform to architectural standards (Snowflake/dbt best practices).

** 2. Project and Delivery Management*
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** Execution Oversight:
** Oversee project timelines, milestones, key risks, and deliverables to ensure successful project completion.

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** Multi-Project Leadership:
** Lead the delivery of multiple ongoing projects, ensuring alignment with program and organizational roadmaps.

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* Risk Management:

** Proactively monitor risks, identify potential issues, and develop mitigation strategies to communicate effectively with project stakeholders.

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** Methodology:
** Apply Agile project management concepts to ensure solutions delivered are aligned with business goals and deliver a good user experience.

** 3. Supply Chain Data Delivery*
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** Data Delivery:
** 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/4

HANA, ECC, Oracle), Planning tools (Kinaxis, o9, Blue Yonder, SAP IBP), WMS, TMS, MES, Ariba and supplier systems.

** 4. Stakeholder Partnership and Communication*
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** Point of Contact:
** Serve as the single point of contact for assigned Supply Chain data initiatives regarding all data engineering and delivery needs.

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** Client Relationships:
** Maintain strong client relationships through regular communication and meetings, ensuring expectations are met or exceeded.

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** Translation:
** Translate business needs into technical requirements and long-term scalable solutions.

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** Facilitation:
** Facilitate communication and collaboration between business teams and data engineers.

** 5. Resource and Consultant Management*
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** Resource Allocation:
** Evaluate requirements and allocate resources based on priorities, availability, and expertise.

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** Consultant Oversight:
** Manage Data Engineering Consultants across internal teams, monitoring their performance, utilization, and project progress.

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** Conflict Resolution:
** Mediate any issues or challenges between consultants, technical teams, and project stakeholders.

** 6. Standards and Governance*
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**…