Manager - Data Governance

**Start Date**ASAP
**Contract**18 months
**Hybrid Work Environment**(3 days in office, 2 days remote with flexible hours)
**Dress Code** Business Casual
**Location** Downtown Toronto, Outside of Union Station (TTC & GO accessible)
**_A Great Place to Work_**

**Who We Are**:
Kinross is a Canadian-based global senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering value is based on our four core values of Putting People First, Outstanding Corporate Citizenship, High Performance Culture, and Rigorous Financial Discipline. Kinross maintains listings on the Toronto Stock Exchange (symbol:K) and the New York Stock Exchange (symbol:KGC).

Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. In 2021, Kinross committed to a greenhouse gas reduction action plan as part of its Climate Change strategy, reached approximately 1 million beneficiaries through its community programs, and recycled 80% of the water used at our sites. We also achieved record high levels of local employment, with 99% of total workforce from within host countries, and advanced inclusion and diversity targets, including instituting a Global Inclusion and Diversity Leadership Council.
Eager to know more about us? Visit Home - Kinross Gold Corporation

Reporting to the Sr. Director of Data Management and Analytics, the incumbent will be a key member of the IT team, focusing primarily on data management activities including but not limited to strategy, governance, policies, and practices definition.
This person strengthens and provides recommendations on how data is made available and shared consistently across the organization. In-depth knowledge on data collection, processing, cataloging, modeling, storing, and sharing is required.
The Manager, Data Governance is expected to collaborate with data engineers and analytics specialists, business domain stakeholders and solution developers throughout the organization to identify, design ,and develop the most efficient data and analytical solutions to deliver desired business outcomes.

**Responsibilities**:
**Data Governance (70%)**
- Develop and articulate a clear vision and strategy for data governance that aligns with the organization’s overall objectives and business priorities.
- Oversee and manage all aspects of the Data Governance Platform (Alation) at Kinross, including metadata management, data lineage, data cataloging, and quality monitoring.
- Define and track key performance indicators (KPIs) to measure the success and impact of data governance initiatives, ensuring continuous improvement.
- Lead cross-functional collaboration with business units, IT teams, and senior leadership to ensure alignment, adoption, and support for data-driven initiatives.
- Establish and oversee data stewardship programs, clearly defining roles and responsibilities for data ownership across business units.
- Develop, document, and implement a scalable data governance operating model, including strategy, policies, best practices, and standards.
- Define and enforce data standards, best practices, and guidelines to ensure data quality, integrity, security, and regulatory compliance.
- Serve as a trusted advisor to business units, offering strategic insights and guidance on how to maximize the value of data while promoting data literacy and analytics adoption across the organization.
- Engage and support data owners to ensure they understand their governance responsibilities, providing expert advisory guidance and ensuring accountability.
- Monitor and assess emerging technologies, trends, and industry practices to continuously evolve the organization's data strategy and governance frameworks.
- Support audits and regulatory reporting by providing comprehensive governance documentation, compliance reports, and risk mitigation strategies.
- Develop and lead training and awareness programs to educate employees on data governance principles, policies, and best practices.
- Advocate for a data-driven culture, ensuring that governance frameworks enable data democratization while maintaining strong security and compliance controls.

**Information & Data Architecture (10%)**
- Assist with reviewing, documenting, and improving existing strategies, principles and standards related to enterprise-level data architecture.
- Define and implement data catalog capabilities and scalable metadata management to support a self-service Analytic Framework (consumers, explorers, innovators).
- Work with data stewards to continuously improve data lineage, metadata management, and master data management strategies.

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**Business Intelligence, and Integration Practices (10%)**
- Collaborate with Data Engineering, and Reporting and Analytics teams to implement report certification levels, data validation, cleansing, and monitoring processes.
- Assist with initial data e