Finance Data Steward - Senior Data Quality & Governance Engineer,

Four Seasons; Toronto; On-site; CAD 85,000 - 125,000; Full time

Job summary

Four Seasons York Mills is seeking a Senior Data Quality & Governance Engineer, Finance Data Steward. You will safeguard the accuracy and quality of finance data across D365, One Stream, Longview, and the Enterprise Data Lake, enabling AI-ready data and responsible governance.

You will implement policies, monitor data quality, and collaborate with finance, IT, and AI teams to drive governance across enterprise platforms.

Qualifications

• Bachelor's degree in Finance, Accounting, or Data Management required or equivalent experience.
• 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.

Responsibilities

• 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.
• Coordinate remediation of data quality issues with the data quality team.
• Maintain master and reference data for finance (e.g., chart of accounts, vendors, products) per governance guidelines.
• Validate new or changed data to ensure compliance before sharing organization-wide.
• Ensure finance data is trusted and enriched with metadata and lineage for reporting, analytics, and AI.

Skills

Data governance

SQL

Power BI

Tableau

Communication skills

Analytical mindset

Agile

Collaboration

Problem solving

Education

Bachelor's degree in Finance, Accounting, or Data Management

CPA or MBA asset

Tools

Collibra

Informatica EDC

Microsoft D365

One Stream

Longview

Job description

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 to configure and monitor data quality rules and scorecards using enterprise DQ tools.

Data Analysis & Querying

• Proficiency in SQL or other query languages to profile and validate data across ERP, data lake, and BI environments.
• Comfort with data profiling techniques and root‑cause analysis.

Integration & Architecture Awareness

• Understanding of enterprise data lake concepts, ETL/ELT pipelines, and finance data flow to analytics platforms.
• Familiarity with APIs, data transformations, and security controls for regulated financial data.

Reporting & Visualization

• Ability to design dashboards and visualizations in Power BI or Tableau to communicate data quality metrics.
• Experience generating audit‑ready reports for finance leadership and compliance teams.
• Working knowledge of industry standards such as DAMA‑DMBOK or EDM Council practices.
• Awareness of SOX, GDPR, and other financial data privacy/security regulations.

AI Readiness

• Understanding of data requirements for generative AI, AI agents, and intelligent automation solutions.
• Familiarity with Microsoft Copilot, Copilot Studio, Azure AI services, and AI governance concepts.
• Ability to assess data assets for AI readiness and recommend improvements.
• Experience using AI‑enabled tools to improve stewardship productivity.

Key Skills / Who You Are

Leadership

• Demonstrates high personal and professional integrity when handling sensitive financial data.
• Takes ownership of data quality and governance tasks, following issues to resolution.
• Is results‑oriented and committed to delivering accurate, trusted data on time.
• Maintains composure and effectiveness when priorities shift.

Business / Analytics Skills

• Understands finance operations and reporting needs, translating hub data standards into practical processes.
• Navigates ambiguity and complex data flows to provide clarity and actionable guidance.
• Manages multiple data quality initiatives and remediation activities under time constraints.
• Implements repeatable, auditable controls for master and reference data.
• Comfortable working in an agile environment, iterating quickly with finance, IT, and the Data Governance Hub.

Communication Skills

• Listens carefully to stakeholders and clarifies data requirements before acting.
• Prepares clear, concise documentation and scorecards that explain data lineage, quality metrics, and remediation progress.
• Uses visual storytelling—dashboards, process maps, and presentations—to highlight key insights for decision makers.

Planning / Organizational Skills

• Organizes and monitors large volumes of financial data with exceptional attention to detail.
• Establishes clear expectations and timelines for data quality checks and reporting.
• Re‑prioritizes quickly when critical reporting deadlines arise.
• Consistently delivers on governance commitments on time and within service levels.

People Engagement

• Proactively clarifies performance expectations for data owners and supports them in meeting hub standards.
• Provides guidance and tools to improve data quality.
• Recognizes and celebrates contributions from finance and IT partners.
• Builds trust and credibility across finance teams by being approachable and solution‑oriented.

Collaboration Skills

• Works productively in a matrix environment, balancing finance priorities with enterprise governance requirements.
• Serves as the primary liaison between the finance spoke and the Data Governance Hub.
• Actively seeks input from finance, IT, and enterprise stakeholders to drive continuous improvement.

Salary Range: $85,000 - $125,000 CAD.

Hybrid working model: 3 days per week in the Four Seasons York Mills Office located at 20 York Mills Road, Toronto, Ontario.

Four Seasons is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.