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.
Analyst, Data Quality & Governance
As the Analyst, Data Quality & Governance, you will collaborate with data owners, stewards, and custodians across our organization to ensure that the content, structure, and context of all data assets and related data lineage is clear and understood. As the Analyst, Data Quality & Governance, you will report to the Manager, Data Assets and Standards and will collaborate with data owners, stewards, and custodians across the organization to ensure data assets are trusted, discoverable, well-documented, and fit for purpose across reporting, analytics, automation, and AI use cases. You will help establish the metadata, lineage, business context, and governance controls required to make enterprise data assets usable by both people and AI systems.
In addition to managing data assets, you will leverage AI-enabled tools and automation to scale governance activities, improve metadata quality, accelerate documentation, and enhance data discovery. You will also contribute to the development of AI-powered governance capabilities such as intelligent assistants, agents, and automated workflows that improve access to trusted enterprise data.
What You’ll Be Doing:
- Assist in the implementation of relevant data governance policies and work closely with data stewards to enforce standards for data assets.
- Enhance data cataloguing and metadata practices ensuring datasets are properly structured, classified, governed, and discoverable to support analytics, automation, AI agents, and generative AI solutions.
- Complete and up to date data catalogue available for data discovery and data management.
- Supports AI readiness by ensuring data assets is governed, trusted, and readily usable for advanced analytics and automation.
- Trusted and well-governed data assets that can be confidently consumed by users, applications, analytics platforms, and AI solutions.
- Establish lineage across systems to allow visibility of data flow across systems for stronger data governance controls.
- Monitor and track usage of data assets to understand and report on patterns and trends.
- Efficient use of data by stakeholders to minimize burden of data collection and maximize insights development.
- Enhanced user experience and self-service access to governed data through AI-enabled capabilities.
- Generate reports on data asset utilization and identify opportunities to optimize usage.
- Design and maintain AI-powered governance solutions, including agents, copilots, and automated workflows that improve data discovery, knowledge sharing, and access to trusted data assets.
- Manage and maintain reference data sets in informatica as a central source of truth to ensure accuracy, consistency, and completeness.
- Assist in creating and maintaining documentation for reference data standards and procedures.
- Collaborate with data stewards to update and validate reference data regularly and resolve any data issues.
- Maintain an up-to-date and comprehensive business glossary and semantic layer that supports consistent business understanding by users, analytics platforms, and AI systems.
- Collaborate with business units and subject matter experts to define and document business terms.
- Leverage AI and automation capabilities to streamline data governance processes including metadata generation, documentation, data classification, lineage analysis, issue triage, and business glossary maintenance.
- Increased governance efficiency through intelligent automation and reduced manual effort.
What You Bring:
- Bachelor's in a relevant field (e.g., data management, information technology, business analytics, informatics).
- Proven experience and understanding of data governance, with a focus on metadata, reference and master data.
- Strong understanding of data protection regulations and compliance requirements.
- Excellent communication and interpersonal skills.
- Analytical mindset with the ability to translate data into actionable insights.
- Strong collaboration and engagement skills across multiple stakeholders.
- Experience with data governance tools and technologies such as informatica.
- Understanding of how data quality, metadata, lineage, business context, and governance controls support ai, machine learning, generative ai, and intelligent automation use cases.
- Experience using ai-enabled productivity and analytics tools to improve efficiency, automate repetitive tasks, and generate insights.
- Familiarity with ai concepts such as large language models (llms), retrieval-augmented generation (rag), ai agents, semantic models, vector search, and knowledge management.
- Experience developing prompts, workflows, copilots, agents, or other ai-enabled solutions is considered an asset.
- Applied experience in data governance, particularly in data quality management.
- Knowledge of industry leading data quality practices.
- Familiar with implementation and use various data governance tools and software.
- Familiar with DMBOK principles.
- Understand of complete data lifecycle and related data governance requirements.
- Understanding of GDPR and related legislation.
- Ability to manipulate, analyze and transform large datasets to understand trends and patterns.
- Working knowledge of cloud computing platforms. MS Azure preferred (Microsoft Synapse, Azure Data factory, Azure Data Lake, PowerBI).
- Proficient in SQL or other programming languages.
- Experience with data visualization and dashboarding (Power BI, Tableau).
- Expert in Microsoft Office software (Word, Excel, PowerPoint, Access).
AI & Automation Skills
- Understanding of AI governance, responsible AI principles, and AI-ready data practices.
- Experience using generative AI and copilots for business and data management activities.
- Familiarity with Microsoft Copilot Studio, Azure AI services, AI agents, and workflow automation tools.
- Understanding of knowledge management, semantic models, vectorized content, and retrieval-augmented generation (RAG) concepts.
- Ability to identify opportunities where AI can improve governance, stewardship, and data management processes.
- Experience creating prompts, agents, or AI-assisted workflows to improve business outcomes.
Who You Are:
Business / Analytics Skills
- Works to understand business need and how the data will be used to drive decisions into action plans that will grow the business.
- Effectively navigates through ambiguity and complexity to provide clarity for the team and the requester.
- Works well under pressure and can manage multiple tasks under time constraints.
- Strong with process management including the development of processes and procedures.
- Familiar with agile methodology and comfortable working in an agile environment.
Communication Skills
- Works to understand the requester needs when building the upfront story to ensure clarity and actionability.
- Listens carefully to understand requirements and seeks clarity as needed.
- Provides well-structured reports and documents to convey analysis and insights that are clear, concise and reader-friendly.
- Demonstrates understanding of the importance of storytelling by incorporating visual enhancements into presentations.
- Strong interpersonal skills and team player.
Planning / Organizational Skills
- Demonstrates the ability to organize and work with high volumes of data.
- Establishes clear expectations to ensure smooth execution.
- Handles multiple demands and conflicting priorities by quickly re-allocating time and resources.
- Organizes self and the team in setting and managing priorities.
- Demonstrates a high standard for attention to detail and holds others to the same.
- Delivers on commitments on time and on budget.
People Engagement
- Takes the time to acknowledge the efforts and contributions of others.
- Works to build relationships with colleagues to both provide and receive the best support.
Collaboration Skills
- Works productively in a matrix environment to move projects along and foster a positive team attitude.
- Proactively asks for input and ideas from others to demonstrate the power of the team.
Salary Range: $70,000 – $85,000 CAD
This role will be a Hybrid working model, which will require 3 days per week at our temporary 20 York Mills Road, Toronto, Ontario location with travel, as needed, to our the Four Seasons Corporate Office located at 1165 Leslie Street, 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.