About Four Seasons:
Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.
At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.
About the location:
Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 130 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people and our culture enables everything we do.
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 Senior Data Quality & Governance Engineer, Finance Data Steward is also responsible for ensuring finance data is AI-ready across the enterprise platforms. The Senior Data Quality & Governance Engineer, Finance Data Steward operationalizes data governance to enable consistent, high-quality, and well-contextualized data that supports advanced analytics and AI use cases. The Senior Data Quality & Governance Engineer, Finance Data Steward 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.
Under the direction of the DG Hub and Finance Data Owners, this role implements and enforces the data governance framework, ensures there is full visibility of FDM and other finance data flows and transformations, and partners with IT, Security, and Finance leadership to enable reliable and empowering financial performance analytics.
What You’ll Be Doing:
- Implement data governance policies, standards, and controls issued by the Hub within Finance applications and workflows, and other data stores.
- Translate hub-defined expectations into data dictionaries, reference data standards and lineage requirements for FDM, Procurement, and other Finance specific procedures and documentation.
- Monitor FDM, Procurement, and other Finance related data across data quality dimensions using Hub-provided tools and scorecards with Informatica.
- Partner with Data quality team to Log, triage, and coordinate the remediation of data quality issues, escalating to the Hub when enterprise-wide action is required.
- Maintain the FDM and other master and reference data for Finance (e.g., chart of accounts and related hierarchies, vendors, products) in accordance with FS Data Governance guidelines.
- Validate new or changed data to ensure compliance before it is shared across the organization.
- Ensure Finance data is trusted, consistently defined, well-documented, and enriched with metadata, lineage, quality indicators, and business context required to support reporting, analytics, AI agents, copilots, and intelligent automation solutions.
- Leverage AI-enabled capabilities to accelerate metadata documentation, data classification, issue investigation, root-cause analysis, stewardship reporting, and knowledge management activities.
- Partner with product teams, AI solution teams, and data engineering teams to identify and remediate data readiness gaps that may impact AI and advanced analytics initiatives.
- Identify opportunities where AI agents, copilots, and automation capabilities can improve Finance data governance processes and user access to trusted data.
- Serve as the primary contact for Product Leads and other stakeholders on data governance matters, representing Key Finance data in forums and working groups.
- Partner with Product Leads, IT, and Data Engineering to ensure that D365, One Stream, and data lake reporting and integrations meets data governance expectations.
- Educate impacted Finance and other Four Seasons staff on enterprise Data Governance policies and promote best practices to build a culture of stewardship within the department.
- Provide feedback to the Hub on practical challenges, helping refine enterprise standards based on real Finance use cases.
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, with a focus 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 or data management technologies would be 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 use cases.
- Experience using AI-enabled productivity, analysis, or governance tools to improve efficiency and decision making.
- Understanding of concepts including AI agents, retrieval-augmented generation (RAG), semantic models, enterprise knowledge management, and responsible AI.
- Experience developing prompts, automations, or AI-assisted workflows is considered an asset.
Financial Systems Expertise
- Strong working knowledge of Microsoft D365 Finance & Operations and Longview (or equivalent planning/consolidation tools).
- Familiarity with general ledger structures, chart of accounts, cost-center hierarchies, and financial reporting workflows.
Data Governance & Quality Tools
- Hands-on experience with data catalog / metadata management platforms (e.g., Collibra, Alation, Informatica EDC) to maintain lineage, definitions, and business glossary entries.
- Ability to configure and monitor data quality rules and scorecards using enterprise DQ tools (e.g., Informatica Data Quality, Talend, Ataccama, or equivalent).
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 to identify and remediate quality issues.
Integration & Architecture Awareness
- Understanding of enterprise data lake concepts, ETL/ELT pipelines, and how Finance data flows from source systems to analytics platforms.
- Familiarity with APIs, data transformations, and security controls that support regulated financial data.
Reporting & Visualization
- Ability to design dashboards and visualizations in tools such as Power BI or Tableau to communicate data quality metrics and trends.
- Experience generating clear, audit-ready reports for Finance leadership and compliance teams.
- Data Management Frameworks & Compliance.
- Working knowledge of industry standards such as DAMA-DMBOK or EDM Council practices.
- Awareness of SOX, GDPR, and other financial data privacy/security regulations relevant to a global finance function.
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 enterprise AI governance concepts.
- Understanding of semantic models, knowledge management, metadata enrichment, and retrieval techniques used by AI systems.
- Ability to assess data assets for AI readiness and recommend improvements.
- Experience using AI-enabled tools to improve stewardship productivity and governance effectiveness.
Key Skills/Who You Are:
Leadership
- Demonstrates high personal and professional integrity when handling sensitive financial data.
- Takes ownership of finance data quality and governance tasks, following issues through to resolution.
- Is results-oriented and committed to delivering accurate, trusted data on time.
- Maintains composure and effectiveness when priorities shift or issues arise.
Business / Analytics Skills
- Understands finance operations and reporting needs, translating hub data standards into practical Finance processes.
- Navigates ambiguity and complex data flows to provide clarity and actionable guidance.
- Manages multiple data quality initiatives and remediation activities under time constraints.
- Applies strong process management skills to implement 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 Finance 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 and issues 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, issue remediation, and reporting.
- Handles multiple demands by re-prioritizing quickly when critical Finance reporting deadlines require it.
- Consistently delivers on data governance commitments on time and within agreed service levels.
People Engagement
- Proactively clarifies performance expectations for Finance data owners and supports them in meeting hub standards.
- Provides colleagues with the guidance and tools needed to improve data quality.
- Acknowledges and celebrates contributions from Finance and IT partners who strengthen data stewardship practices.
- 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, sharing feedback and surfacing local challenges.
- Actively seeks input and ideas from Finance, IT, and enterprise stakeholders to drive continuous improvement and reinforce the power of the team.
Salary Range: $85,000 - $125,000 CAD
This role will be a Hybrid working model, which will require 3 days per week in the Four Seasons York Mills Office located at 20 York Mills Road, Toronto, Ontario #LI-Hybrid
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.
