Aviso Wealth:

At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and dynamic ‘oneaviso’ culture sets us apart. If you are looking for interesting and challenging work, at a company committed to its people, find out more about what Aviso has to offer at www.aviso.ca.

The Opportunity:

We’re looking for a Senior Manager, Data Governance Implementation, to join our Technology Partners team.

Reporting to the Director, Data Governance, the Senior Manager, Data Governance Implementation is responsible for ensuring data is a strategic enabler for the organization while driving innovation responsibly. An experienced, dynamic, and visionary individual, you will play a pivotal role in translating our governance vision into actionable strategies and operational frameworks to lead the Future of Data Governance at Aviso.

At Aviso, we’re undergoing an exciting transformation to unlock the full potential of data and analytics, shaping the future of wealth management and empowering our clients and partners with trusted insights. Central to this mission is our commitment to building a best-in-class Data Governance Program that drives strategic decision-making, regulatory compliance, and innovation.

Who you are:

Service – You consider both internal and external stakeholders and demonstrate intent of understanding and putting the clients’ needs first. You advocate service excellence and work to deliver solutions that meet the needs. You proactively develop strategic partnerships that allow Aviso Wealth to become a trusted advisor and partner
Execution – You are committed to achieving your goals and to succeed. This includes focusing on “getting things done”, as well as recognizing and taking advantage of opportunities as they arise. You are consistently looking for ways to improve your personal best and see value in continuous improvement. You take accountability for your actions and learn from mistakes
Collaboration – You work collaboratively with others with the common goal of driving positive results. Making meaningful contributions to your team to achieve organizational goals is a priority. You proactively encourage collaboration, build trust and inclusion, and work to establish effective relationships both inside and outside of the organization
Leadership – You lead your team and provide regular direction, guidance, coaching, and motivation, all while striving for peak performance. You assist them in overcoming obstacles through additional resources, removal of roadblocks, and providing the level of support required for their success. You delegate and deliver feedback based on the in-depth understanding of your individual team members

What your day looks like:

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

Your experience and skills:

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