Only 24h Left Senior Manager, Model Governance

4 weeks ago

Markham, Ontario, Canada Aviva plc Full time
About This Role

As a Senior Manager, Model Governance at Aviva Canada, you will play a key leadership role in shaping the future of model governance across the organization. You will be responsible for ensuring that all models align with regulatory, risk, and compliance requirements, working closely with various teams to establish and maintain governance standards, frameworks, and controls.

Key Responsibilities:
- Develop and implement a comprehensive Model Governance framework that supports Aviva's business objectives while ensuring consistency, quality, and compliance across all models.
- Establish and enforce policies, standards, and guidelines for model design, development, and management, ensuring all models adhere to standard methodologies and regulatory requirements.
- Coordinate the lifecycle of models, from design and development through to deployment and monitoring, ensuring accurate documentation, versioning, and approval processes.
- Partner with Data Analytics, IT, and business teams to ensure governance is embedded throughout the model lifecycle, including the accurate and ethical use of data.
- Establish and maintain an audit trail for data models to ensure transparency, accountability, and traceability, and to satisfy internal and external audit requirements.
- Implement and monitor controls to manage the risks associated with models.
- Operationalize frameworks and methodologies developed by Aviva Group for Aviva Canada.
- Lead the development and implementation of risk management strategies specific to models, ensuring all models are assessed for compliance risks and vulnerabilities.
- Collaborate with Data Services, Data Analytics, and other relevant teams to develop processes for regularly validating, testing, and monitoring model performance to meet business and compliance needs.
- Work with legal, risk, privacy, and compliance collaborators to assess model risks and ensure that models remain in compliance throughout their lifecycle.
- Drive continuous improvements in the model governance framework, ensuring it evolves to meet changing business, regulatory, and technological needs.
- Provide regular reports to senior management and collaborators on the status of model governance, highlighting key risks, issues, and compliance gaps.
- Serve as a primary contact for any inquiries related to model governance, offering expert advice and recommendations to collaborators throughout the organization.

Requirements:
- Extensive experience in data governance, with a specific focus on model governance, regulatory compliance, and risk management.
- Proven experience governing various models, including machine learning, artificial intelligence, or generative artificial intelligence models.
- Experience working with data services, data analytics, and IT teams to implement governance processes across the model lifecycle.
- Excellent problem-solving, organizational, and analytical skills, with the ability to manage complex data governance and compliance scenarios.
- Strong communication and collaborator leadership skills, with the ability to influence and work with senior leadership, technical teams, and other collaborators.
- Bachelor's or Master's degree in a related field (e.g., Data Science, Computer Science, Information Systems, Business Administration), or equivalent experience.
- Relevant certifications in data governance, risk management, or compliance (e.g., DAMA, CRISC, CISM) are an asset.

What We Offer:
- Salary range $92,100 to $171,000, determined by factors such as job-related knowledge, skills, and experience, as well as internal equity.
- Competitive rewards package, including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
- Outstanding career development opportunities.
- Professional development education support.
- Comprehensive vacation package with the option to purchase extra days off per year.
- Employee-driven programs focused on diversity and inclusion.
- Corporate wellness programs to support employees' physical and mental health.
- Hybrid flexible work model.

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