The RoleTundra is undergoing a significant transformation of its data infrastructure – consolidating data across multiple enterprise systems of record into a single unified repository and building AI‑native reporting and intelligence capabilities to support decision‑making across the business. As part of this initiative, we are hiring aLeader, Data Quality & Governanceto own the integrity of our data foundation. This role is central to the success of the broader data modernization program. You will lead a small team of data quality analysts, establish governance frameworks and standards, and work closely with our data and engineering leadership to build the intelligent data layer that powers reporting, forecasting, and AI‑driven workflows across the business. This is a high‑visibility role with direct exposure to senior leadership and the opportunity to shape how Tundra uses data as a strategic asset.Focus Data Quality OwnershipDefine and enforce data quality standards across all source systems and the unified data repositoryTransition the team away from manual, row‑by‑row review processes toward AI‑assisted and automated data quality monitoringBuild and maintain data quality scorecards, dashboards, and alerting pipelinesIdentify root causes of data issues and work cross‑functionally to resolve them at the sourceOwn the collaboration with the Enterprise Technology team and the AI & Innovation team for solutions that can augment overall data quality and maintenanceGovernance & ComplianceDevelop and maintain Tundra’s data governance framework – including ownership, definitions, lineage,



and access policiesEstablish and document data standards for key business entities across staffing, payroll, and direct sourcing functionsSupport internal compliance and certification requirements as they relate to data handling and governancePartner with legal, operations, and finance to ensure data handling aligns with regulatory requirementsPlatform & ToolingServe as the internal subject‑matter expert for Workday Adaptive Planning as it relates to data integrity and feed qualityCollaborate with the engineering team on data pipelines, transformation logic, and integration points across enterprise source systemsSupport BI reporting infrastructure with clean, well‑governed data models (Power BI experience is an asset)Contribute to the development of our internal AI‑powered data intelligence platformLead and develop a team of data quality analystsSet priorities, manage workloads, and create a clear development path for team membersFoster a culture of automation‑first thinking – identifying where AI and tooling can replace manual effortAct as a bridge between the data quality team and the broader data and engineering functionApply the data solution framework to various industry sectorsWho You AreRequired5+ years of experience in data quality, data governance,



or data management rolesDemonstrated experience building or modernizing a data quality function – not just maintaining oneHands‑on experience with Workday Adaptive Planning, specifically as it relates to data feeds, integrations, and reconciliationAbility to work with Power BI for data modeling, DAX, and reportingExperience working across multiple enterprise systems (ATS, ERP, HRIS, or similar)Comfortable using AI tools in day‑to‑day work – whether for data profiling, anomaly detection, documentation, or workflow automationPeople‑management experience – you’ve led a small team and know how to develop analystsStrong communicator who can translate data quality issues into business impact for non‑technical stakeholdersMust‑HavesStrong proficiency in SQL and familiarity with data pipeline concepts (ETL/ELT)Experience with ETL/ELT pipelinesKnowledge of data governance frameworks (DAMA‑DMBOK or similar)Nice‑to‑HavesExperience in staffing / workforce / professional services domainExperience with data quality tools (e.G., Great Expectations, Monte Carlo, Soda)Experience with Azure data platforms (ADF, Synapse, Fabric, etc.)Exposure to data mesh or modern data architecturesExposure to vector databases, RAG, or AI data pipelinesExperience in high‑growth or transformation environmentsThe base salary range that the employer in positive faith reasonably expects to pay for this position is $105,000 – $130,000.Our benefits offering includes medical, dental, vision and retirement benefits.#J-18808-Ljbffr

📌 Leader, Data Quality & Governance - $105,000 - $130,000 A Year (Winnipeg)
🏢 Tundra
📍 Winnipeg