Our Calgary based client is seeking an experienced SAP S/4HANA Data Governance Analyst to join their project immediately and will run for 1 year, with possibility of an extension. The ideal candidate should have a minimum of 3 years of experience in data governance, data management, or data quality roles, with hands-on experience in SAP S/4HANA, a strong understanding of master data domains (Customer, Vendor, Material, Finance), and familiarity with data profiling and data quality tools. This is a hybrid role that requires working on-site 3 days per week.
Key Responsibilities:
- Support data migration activities, including data cleansing, validation, and reconciliation for master data governance tool implementation
- Define and document data governance policies, and standards for SAP data objects (e.g., customer, vendor, material, finance).
- Establish and support data ownership and data stewardship models across business domains
- Collaborate with business and IT teams to define data definitions, business rules, and data standards.
- Develop and track data quality KPIs and metrics.
- Ensure compliance with internal policies and regulatory requirements related to data management.
- Facilitate data governance workshops with stakeholders to align on definitions, rules and ownership.
- Review SOX Compliance documents and work closely with control / audit teams to gather SOX requirements.
- Maintain data structures, metadata, and documentation in approved data catalogues.
- Support the implementation of data governance tools and workflows.
- Collaborate with functional teams (Finance, Procurement, Supply Chain, etc.) to ensure alignment on data requirements.
- Assist with project closure activities, ensuring data-related deliverables are complete and signed off.
- Experience with data governance or metadata tools (e.g., Prospecta MDO, SAP MDG, Purview, DataSphere, or Information Steward) is an asset.
Preferred Experience:
- Prior experience in large-scale ERP transformation projects.
- Experience in regulated industries (e.g., energy, finance, utilities).
- Understanding of data privacy and compliance requirements. Knowledge of regulatory or compliance-driven data environments.