Senior Manager overseeing data governance implementation at Aviso Wealth. Leading initiatives to leverage data as a strategic asset for decision-making and compliance.
Responsibilities
Design and Operationalize the Data Governance Framework: Develop and implement comprehensive data governance policies, standards, and frameworks that prioritize trusted, high-quality data across the organization
Champion Customer Trust and Responsible Data Use: Embed principles of ethical data use and privacy into governance practices, ensuring our clients’ trust is upheld in all data-driven initiatives
Partner Across the Business: Collaborate with Data and Analytics teams, business units, and technology teams to embed governance principles that balance compliance, innovation, and operational needs
Enable AI Innovation: Support the responsible use of data in AI initiatives by establishing governance structures that ensure accuracy, transparency, and ethical considerations in AI models
Lead Change Management: Act as a catalyst for cultural change by driving adoption of data governance practices and empowering teams with the knowledge and tools to succeed
Establish Accountability: Define roles and responsibilities for data stewardship and ownership across the organization, fostering accountability for data quality, security, and compliance
Develop Implementation Roadmaps: Create and execute detailed roadmaps for rolling out governance initiatives, ensuring alignment with enterprise priorities and timelines
Build and Scale Capabilities: Lead the implementation of key governance tools (e.g., Collibra), processes, and technologies to support data cataloging, metadata management, lineage tracking, and AI enablement
Monitor and Report: Establish metrics and KPIs to measure the effectiveness of governance efforts and provide regular updates to leadership on progress and outcomes
Stay Ahead: Keep up with emerging trends, regulatory requirements, and best practices in data governance and AI ethics to continuously enhance Aviso’s governance framework
Requirements
Bachelor’s degree in Information Systems, Computer Science, Data Science, Data & Analytics or a related field
Advanced certifications in Data Governance, AI Governance, Privacy or Data Management (e.g., Collibra Ranger, DCAM, CDMP or AIGP certifications) are preferred
8+ years of experience in Data Governance, Data Management, Data & Analytics or a related field, including at least 3 years in a leadership or senior management role
Demonstrated success implementing enterprise data governance programs.
Hands-on experience implementing data governance solutions, with specific expertise in Collibra, Microsoft Purview or similar tools
Experience with visualization tools such as Power BI, Tableau and with cloud native or multi-cloud architectures such (Azure/AWS)
Deep understanding of data management and governance frameworks (e.g., DAMA, DCAM) and best practices
Proven ability to implement enterprise data catalogs, data classification frameworks, business glossaries, and metadata management frameworks
Strong stakeholder engagement and change management skills, with the ability to influence and collaborate across business units
Ability to integrate compliance and regulatory requirements into the data & analytics lifecycle
Technical proficiency in data governance tools and platforms, with familiarity in integrating governance solutions into broader data ecosystems
Governance Tools: Hands-on experience with data governance platforms like Collibra, Informatica, Microsoft Purview, Atlan, OneTrust, or similar tools, including implementation and operationalization
Data Governance Standards: Deep understanding of governance best practices, including data cataloging, metadata management, data lineage, AI model governance, and data quality frameworks
Cloud & Modern Data Platforms: Familiarity with cloud ecosystems (e.g., AWS, Azure, GCP) and modern data architectures (e.g., data lakes, data warehouses, lakehouses, etc.)
Compliance Knowledge: Awareness of key regulatory requirements (e.g., PIPEDA, GDPR, CCPA) and their implications for data governance
Analytics & Reporting: Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau) to communicate governance progress and outcomes effectively
As a visionary leader you have a proven ability to translate complex data governance concepts into clear, actionable strategies that align with business objectives
You are a collaborative partner who thrives on building strong relationships across technical and non-technical teams, acting as a trusted advisor and driving cross-functional collaboration
As a Customer-Centric Advocate you understand the importance of customer trust and champion data practices that prioritize transparency, privacy, and ethical use
You have experience implementing governance practices that support the responsible use of AI, ensuring data integrity, fairness, and compliance
You excel at championing organizational change and leading initiatives that shift mindsets, embed new processes, and drive long-term success
*Preferred Qualifications*
Strong understanding of data privacy, records and information management and regulatory compliance requirements (e.g., GDPR, PIPEDA, Law 25, etc.)
Experience developing enterprise data governance programs from the ground up and leading transformation efforts
Knowledge of technical concepts such as SQL, Python, DevOps, MLOps, Big Data, data pipelines, data warehousing, data visualization and data integration workflows
Experience working in Data Product focused organizations
Fluent communication skills in English are required and bilingual skills in French are an asset
Benefits
Competitive compensation package that rewards and recognizes individual contributions
Excellent health, dental and insurance benefits to meet the diverse needs of our employees
Generous vacation time, fitness benefit, parental leave top-up options
Matching contributions to our retirement program
Commitment to the continuous improvement of our staff through learning & development and an education assistance program
Data Scientist building predictive weather models and commercial data products for Pelmorex, a weather intelligence company. Developing scalable machine learning solutions for B2B forecasting, advertising, and enterprise decision - making.
Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically backed natural bone - loss solution. Turning large datasets into strategies that improve efficiency, sales, and profitability.
Senior Data Scientist building real - time courier pay and dynamic pricing models for Just Eat Takeaway.com. Optimizing marketplace efficiency and earnings fairness through machine learning and experimentation.
Data Scientist building production ML, NLP, and GenAI solutions for Irth’s critical - infrastructure SaaS platform. Developing Databricks pipelines and maintainable software for damage prevention and asset integrity.
Junior data scientist supporting derivatives, VaR, stress testing, and regulatory risk models at Desjardins. Implementing methodologies and risk - system products in a hybrid Montréal role.
Evaluating data science and quantitative AI outputs for Gramian Consultancy, an IT professional services and engineering talent consultancy. Creating prompts, datasets, and feedback to improve AI models.
Data Scientist structuring medical knowledge and evaluating AI - driven educational products for Lecturio, a global medical and nursing e - learning platform. Developing statistical validation frameworks and Knowledge Graph API integrations.
Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
Data Scientist developing transactional fraud detection models for Desjardins’ banking and debit payments. Deploying analytics, dashboards, and mitigation strategies to protect members and clients.