Enterprise Supply Chain Data Governance Manager

Kimberly-Clark

. Lead, develop, and coach a high‑performing team of Data Stewards, establishing clear objectives, feedback rhythms, and a culture of continuous learning.

Posted 4/30/2026full-timeSao Paulo • 🇧🇷 BrazilSeniorLeadWebsite

About the role

Key responsibilities & impact

Lead, develop, and coach a high‑performing team of Data Stewards, establishing clear objectives, feedback rhythms, and a culture of continuous learning.
Set stewardship operating rhythms, including prioritization, sprint/PI cadences, OKRs, and performance metrics such as data quality and adoption.
Own enterprise stewardship strategy and standards across supply chain domains, including glossary management, metadata, definitions, and reference/master data alignment.
Oversee creation and maintenance of data quality rules, implementing automated controls to detect and prevent downstream issues.
Ensure secure, compliant data access and communicate vendor updates, usage requirements, and contractual obligations.
Partner with Digital Technology Solutions (DTS), Digital Product Management, and supply chain teams to translate business logic into governed, reusable data products and drive adoption.
Advise product managers and data scientists on source suitability, business logic, and proper data usage; promote self‑service and training.
Participate in governance forums, track adoption and value, and drive continuous improvement and automation of stewardship workflows.
Manage change by communicating source and vendor updates, assessing downstream impacts, and keeping documentation and catalog entries current.
Demonstrate leadership through vision‑setting, people development, cross‑functional influence, effective change management, sound decision‑making, and an inclusive, results‑oriented culture.

Requirements

What you’ll need

Bachelor’s degree in Supply Chain, Engineering, Computer Science, Data, or related field.
8+ years of overall professional experience in Data
3+ years leading data-related teams (Data Governance, Data Stewardship, Analytics, or Data Products).
3+ years working in Supply Chain environments (manufacturing, planning, logistics, procurement, or related).
Proven experience building and scaling data governance and data stewardship ways of working from scratch.
Strong expertise in data quality management, including: Definition of standards, Monitoring and validation of data and Identification of data gaps and inconsistencies across systems
Experience working with large datasets and enterprise data platforms.
Ability to define and maintain business glossaries, metadata, and data quality rules.
Strong stakeholder management skills and ability to influence without authority.
Fluent English (mandatory).

Benefits

Comp & perks

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful.
Flexible work model that blends remote work with intentional in-person collaboration.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data governancedata stewardshipdata quality managementmetadata managementdata validationdata gap identificationlarge datasetsenterprise data platformsbusiness glossary definitionautomated controls

Soft Skills

leadershipcoachingstakeholder managementinfluence without authoritychange managementcommunicationcross-functional influencecontinuous improvementresults-oriented culturepeople development