Finance Data Steward - Senior Data Quality & Governance Engineer

Position: Finance Data Steward - Senior Data Quality & Governance Engineer,
Senior Data Quality & Governance Engineer, Finance Data Steward
The Senior Data Quality & Governance Engineer, Finance Data Steward provides an end‑to‑end data stewardship service that safeguards the accuracy, quality, and security of all data related to the financial data model and other finance data across key finance and enterprise systems including Microsoft D365, One Stream, Longview, Kyriba, and the Enterprise Data Lake.

Reporting to the Manager, Data Governance Enablement, the role is responsible for ensuring finance data is AI‑ready across the enterprise platforms, operationalizing data governance to enable consistent, high‑quality, and well‑contextualized data that supports advanced analytics and AI use cases. The engineer leverages AI‑enabled tools and automation to improve stewardship processes including data quality monitoring, metadata management, issue triage, lineage maintenance, and documentation.

The role also partners with business, technology, and AI teams to ensure finance data can be confidently used by analytics platforms, AI agents, copilots, and intelligent automation solutions.

What You’ll Be Doing

Implement data governance policies, standards, and controls within Finance applications and workflows.

Translate hub‑defined expectations into data dictionaries, reference data standards, and lineage requirements for FDM, Procurement, and other finance procedures.

Monitor finance data across data quality dimensions using Hub‑provided tools and scorecards.

Partner with the data quality team to log, triage, and coordinate the remediation of data quality issues.

Maintain master and reference data for finance (e.g., chart of accounts, vendors, products) in accordance with governance guidelines.

Validate new or changed data to ensure compliance before sharing organization‑wide.

Ensure finance data is trusted, well‑documented, and enriched with metadata and lineage for reporting, analytics, and AI.

Leverage AI‑enabled capabilities to accelerate metadata documentation, data classification, issue investigation, and stewardship reporting.

Partner with product, AI solution, and data engineering teams to remediate data readiness gaps.

Identify opportunities for AI agents, copilots, and automation to improve governance processes.

Serve as the primary contact for product leads and stakeholders on governance matters.

Ensure D365, One Stream, and data lake reporting and integrations meet governance expectations.

Educate finance and other staff on governance policies and promote best practices.

Provide feedback to the Hub on practical challenges to refine enterprise standards.

What You Bring

Bachelor’s degree in Finance, Accounting, or Data Management (CPA or MBA an asset).

3–5 years of experience in finance operations, procurement, data governance, or related roles.

Familiarity with One Stream, Microsoft D365, and enterprise data lake environments.

Proven experience in data governance, focusing on metadata, reference data, and master data management.

Strong understanding of data quality concepts and data management frameworks (e.g., DAMA).

Strong understanding of finance‑related regulations and compliance requirements.

Familiarity with Informatica or similar data governance tools an asset.

Excellent collaboration and communication skills to bridge enterprise and departmental needs.

Analytical mindset with the ability to translate data into actionable insights.

Familiarity with how financial data supports AI, machine learning, generative AI, and intelligent automation.

Experience using AI‑enabled productivity, analysis, or governance tools.

Understanding of AI agents, retrieval‑augmented generation, semantic models, enterprise knowledge management, and responsible AI.

Experience developing prompts, automations, or AI‑assisted workflows considered an asset.

Financial Systems Expertise

Strong working knowledge of Microsoft D365 Finance & Operations and Longview.

Familiarity with general ledger structures, chart of accounts, cost‑center hierarchies, and financial reporting workflows.

Data Governance & Quality Tools

Hands‑on experience with metadata management platforms such as Collibra, Alation, or Informatica EDC.

Ability…