Manager, Data Excellence Architect
Colgate-PalmoliveAbout the role
No Relocation Assistance Offered
# 158613 - Piscataway, New Jersey, United States
Who We Are
Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.
We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.
If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team!
In today’s multifaceted technology environment, it is an exciting time to be a part of the information technology team at Colgate! Our highly technical and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape.
We are seeking an Architect, Data Excellence to spearhead our data management initiatives, tools, and technologies. As a subject matter expert, you will be the cornerstone of design, development, and implementation, providing thought-leadership that propels us to the forefront of the data space.
What you will do
- Strategic Design & Development: Craft and refine our data management and governance strategy, ensuring the delivery of solutions that are both innovative and practical. Your designs will be the blueprint for our data excellence
- Inspiring Leadership: Lead a dynamic team of data engineers and architects with a blend of servant leadership and thought expertise, preparing our workforce to manage data at scale
- Cross-Functional Collaboration: Work hand-in-hand with business and IT teams across the globe, transforming sophisticated business requirements into stellar solution designs
- Tech Strategy & Implementation: Drive our technology strategy, from evaluating innovative market solutions to negotiating favorable terms with vendors, ensuring we have the tools to thrive
- Lifecycle Management: Manage the full systems development lifecycle, from coding to maintenance, ensuring our tools and technologies are robust and reliable
- DevOps Champion: Implement DevOps principles and processes to drive continuous improvement and deliver high-quality technological solutions
- Operational Excellence: Maintain the reliability of our production systems, using IT standard support and governance processes to meet the highest standards
- Governance & Compliance: Uphold the integrity of our IT projects by adhering to the best practices in information technology project management and governance
What you will need (Required)
- Bachelor's degree in computer science, information technology or related field
- 12 years of data management experience with at least 3 experiences responsible for implementing enterprise data catalog and data quality solutions
- Experience with delivering a technical metadata repository and integrations with multiple tech stacks
- Experience with the following technologies and processes
- Collibra, Informatica, Atlan, Alation, Atacama or similar tools
- Building architecture in hybrid cloud (on-prem, GCP, Snowflake, etc.)
- Platform Engineering, Software Development and Infrastructure with programming experience in Java and Python and Integration Development with APIs
- Strong technical acumen with the ability to communicate complex concepts to non-technical stakeholders
What you will need (Preferred)
- Master’s degree in information management or library systems
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Knowledge about SAP Cloud Platform, SAP API, Python, Google Cloud Platform
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Familiarity with Database, Server and Operating Systems
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Awareness of new dimensional technologies like Machine Learning, RPA, Data Science
Compensation and Benefits
Salary Range $115,000.00 - $180,000.00 USD
Pay is based on multiple non-discriminatory, individualized factors including but not limited to experience, job-related knowledge and education, skills and office/market location. In addition to base salary, salaried employees are eligible for annual discretionary bonuses, profit-sharing and, for Executive-level (salary grad
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