Sr. Data Steward

Aecon • Toronto, ON

10d

About The Position

As the Sr. Data Steward, you will be a key member of the BPMO – Enterprise Analytics and Data Governance (EADG) team, partnering with IS, business units, and data product owners to ensure our enterprise data is trusted, high-quality, well-documented, and discoverable. You will steward enterprise metadata, manage business definitions, maintain data lineage, and support the establishment of a consistent and governed data landscape. Leveraging enterprise tools, you will help modernize our data governance capabilities and strengthen enterprise data literacy.

Requirements

• An undergraduate degree in Computer Science, Information Management, Business Technology Management, or a related field; or an equivalent combination of training and experience.
• Minimum 3 years of experience in Data Governance, Data Management, or Data Analysis.
• Experience with master data management, data cataloging, metadata management, and enterprise data quality.
• Experience with SQL and data modeling tools is a plus.
• Strong analytical mindset with the ability to organize and make sense of complex data landscapes.
• Excellent communication skills—able to explain complex data concepts in clear, non-technical terms.
• Demonstrated ability to work with cross-functional teams and manage multiple assignments with minimal supervision.
• Strong documentation skills and attention to detail.
• Ability to apply governance principles pragmatically while supporting business needs.

Nice To Haves

• Certifications in Data Governance/Data Management (e.g., DAMA, CDMP, DCAM) are not required, but they are considered an asset.
• Experience with IBM Match 360, IBM Watsonx Data Intelligence, or similar governance/MDM platforms (e.g., Collibra, Alation, Informatica) is a strong asset.
• Knowledge of SAP or construction-related business systems, especially Oracle/Primavera P6, is an asset.

Responsibilities

• Establish and provide Subject Matter Expert (SME) knowledge on enterprise data models, data standards, definitions, and governance best practices.
• Own and maintain the Business Glossary and Data Dictionary, ensuring consistent terminology and clear data definitions across the enterprise.
• Work with Information Services (IS) to maintain visibility into the current data inventory and data landscape.
• Collaborate with data owners and Information Security to define, co-own, and enforce data classification policies (e.g., sensitivity, confidentiality, business value).
• Partner with business units to define and operationalize data standards for critical data elements (CDEs).
• Monitor, validate, and steward metadata to ensure accuracy, completeness, and alignment with enterprise data policies.
• Support data discovery efforts by partnering with SMEs to locate analytical data in source systems and validate its contextual meaning.
• Provide profiling information and data lineage to help users understand data quality, fitness for use, and business context.
• Document, track, and resolve data issues raised by end users to maintain data relevancy and trust.
• Ensure data assets are properly categorized and enriched with metadata for improved discoverability.
• Continuously refine cataloging and metadata processes for usability, scalability, and alignment with evolving data architecture.
• Advocate for standardized intake and prioritization processes for metadata, quality fixes, and glossary updates.
• Work closely with Data Analysts, Data Engineers, and business SMEs to support governed data access and improved data literacy.

Benefits

• Support for mental, emotional, and physical well-being for you and your family.
• Career building through Aecon University and Leadership Programs.
• Commitment to supporting and investing in inclusive work environments.
• Initiatives like Equity, Diversity & Inclusion training, Aecon Women in Trades and Aecon Diversity in Trades programs, and Employee Resource Groups (ERGs).
• Leadership in sustainable construction with a commitment to operating responsibly.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree