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Added 1 month ago
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SHE&S Data Governance & Modelling Manager
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Participate in change advisory boards and establish governance checkpoints within project delivery lifecycles
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Added 1 month ago
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Nutrien

SHE&S Data Governance & Modelling Manager

Saskatoon, SK, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: 8+ years’ experience in data governance, data architecture, data modelling, or enterprise data management
Posting language: English
Posted: Sep 1, 2026

Original job description

Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each day. We’re guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence.

Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders.  Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien. 

What You'll Do

Lead the development, implementation, and continuous improvement of the SHE&S Data Governance Framework across the organization
Establish and maintain data governance policies, standards, procedures, and controls throughout the data lifecycle
Define and monitor data quality standards, governance metrics, and validation controls to ensure SHE&S data is trusted, accurate, and reliable
Lead conceptual, logical, and physical data modelling activities across SHE&S platforms and establish enterprise naming and modelling standards
Review and approve solution data models and support cloud data warehouse, data lake, analytics, and reporting architecture initiatives
Partner with Privacy, Legal, Cyber Security, Risk, and Technology teams to ensure compliance with privacy legislation, security requirements, and corporate policies
Oversee data classification standards, access controls, and governance practices related to confidential and regulated data, including personally identifiable information (PII)
Support audits, compliance assessments, and regulatory reporting activities
Advocate for SHE&S data domain ownership and stewardship by defining responsibilities for Data Owners and Data Stewards
Maintain SHE&S business glossaries, metadata, and data lineage documentation to improve data accountability and discoverability
Promote secure, governed self-service analytics and trusted data products while balancing accessibility, privacy, and compliance requirements
Increase organizational data literacy through governance awareness, education, and collaboration with business stakeholders
Review system and data changes to ensure governance compliance and validate impacts to data models, reporting, integrations, and downstream systems
Participate in change advisory boards and establish governance checkpoints within project delivery lifecycles
Implement and monitor proactive controls for SHE&S data pipelines and integrations, including monitoring for failures, latency, completeness, schema changes, and data quality issues
Drive root cause analysis, remediation activities, and continuous improvement initiatives to improve data reliability and operational performance
Lead and mentor Data Governance Analysts, Data Modellers, and Data Stewards within the SHE&S function
Build strong relationships with business leaders, technical teams, and external partners to support enterprise data management objectives
Manage governance initiatives, roadmaps, budgets, and vendor engagements while fostering a culture of collaboration, accountability, and continuous improvement

What You'll Bring

Bachelor’s degree in Information Systems, Computer Science, Data Management, Business, or a related discipline
8+ years’ experience in data governance, data architecture, data modelling, or enterprise data management
3+ years leading governance or data management teams
Strong understanding of enterprise data management frameworks (e.g., DAMA-DMBOK)
Experience with cloud data platforms such as Azure or AWS
Experience with SQL and relational database design
Knowledge of metadata management, master data management, and data catalog solutions
Understanding of privacy regulations and information security principles
Experience with modern analytics platforms such as Power BI, Snowflake, Databricks, Microsoft Fabric, or similar technologies

What You'll Get

Purpose-Driven Work – Make an impact as part of a global team feeding the future and support farmers locally and around the world
Excellent Benefits – Comprehensive medical, dental and vision coverage, plus a retirement program with generous employer matching for your future
Grow Your Career – Tuition assistance for future education and ongoing learning and training opportunities for career advancement pathways across the organization
Support When it Matters – Employee Assistance Programs, inclusive leaves, and paid time for holidays, volunteering, vacation, and wellness
Thrive in a Strong Culture – Guided by our core values we put safety first, act with integrity, are stronger together, and deliver with excellence in a collaborative, high-performing environment

Ready to make an impact with us? Apply today!  

The estimated salary that Indeed, Glassdoor and LinkedIn lists does not represent Nutrien's compensation structure. Nutrien is an equal opportunity employer.  We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.  

This job will remain posted until filled. In accordance with Nutrien policies, you will be required to undergo a background check, and may be required to undergo a substance test. While we appreciate all applications we receive, only candidates under consideration will be contacted. Applicants must meet minimum age requirements, as permitted by law. 

Please be advised that pre-screen interviews may be transcribed (there will be no audio or video recording) and that artificial intelligence tools may be used to summarize the transcript of the discussion. These tools will not be used to make or influence hiring decisions. Biometric identifiers and biometric information will not be captured. If you wish to request an alternative process or a reasonable accommodation, please contact the recruiter identified in this posting.

Our Recruitment Process: Application > Resume Review > Pre-screen/Interview > Offer > Pre-Employment Conditions > Welcome to Nutrien 

To stay connected to us and for the latest job postings and news, follow us on:  LinkedIn, Facebook, and Instagram.

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More about this job

Responsibilities

Lead the development and implementation of the SHE&S Data Governance Framework, including policies, standards, and data quality controls. Oversee conceptual, logical, and physical data modelling while partnering with legal and security teams to ensure compliance and data privacy.

Requirements

Requires a Bachelor's degree in Information Systems, Computer Science, or a related field with over 8 years of experience in data governance and architecture. Candidates must have at least 3 years of leadership experience and proficiency with cloud data platforms and modern analytics tools.

Skills

Data Governance
Data Modelling
Enterprise Data Management
SQL
Relational Database Design
Cloud Data Platforms
Metadata Management
Master Data Management
Data Catalog Solutions
Privacy Regulations
Information Security
Power BI
Snowflake
Databricks
Microsoft Fabric
DAMA-DMBOK

Benefits

Medical coverage
Dental coverage
Vision coverage
Retirement program with employer matching
Tuition assistance
Learning and training opportunities
Employee Assistance Programs
Inclusive leaves
Paid holidays
Paid volunteering
Paid vacation
Paid wellness time

Visa sponsorship

Not detected in the job text

Keywords

SHE&S
Data Governance
Data Modelling
Azure
AWS
SQL
DAMA-DMBOK
Power BI
Snowflake
Databricks
Microsoft Fabric
PII
Data Lineage
Metadata
Data Stewardship
Cloud Data Warehouse
Data Lake
Data Literacy
Root Cause Analysis
Agricultural Chemical Manufacturing
Data Classification
Access Controls
Compliance
Enterprise Data Management

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