Manager - Data Governance at Kinross Gold Corporation
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

23 Jun, 25

Salary

0.0

Posted On

23 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regulatory Requirements, Pipeline Development, Data Governance, Processing, Data Quality, Database Systems, Analytics, Computer Science, Training, Data Privacy, Etl, Security, Statistics, Load, French, Information Management, Sql, Data Processing, Arabic, Cipp

Industry

Information Technology/IT

Description

Start Date ASAP
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)

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

JOB DESCRIPTION

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.

EDUCATION AND EXPERIENCE

  • A bachelor’s degree in computer science, statistics, information management, or a related field; or an equivalent combination of training and experience.
  • 5-8 years of experience in Data Governance and/or Data Management
  • Previous experience with Cloud capabilities related to data storage and usage is required.
  • Previous experience in the mining industry is an asset.
  • Certifications in Data Governance, Data Management, or Compliance (e.g., DAMA CDMP, DCAM, CIPP) is considered an asset.
  • Fluent in Spanish, Portuguese, French, or Arabic is considered an asset.

REQUIRED TECHNICAL KNOWLEDGE

  • Strong understanding of data governance frameworks, compliance standards (e.g., GDPR, HIPAA), and regulatory requirements related to data privacy and security.
  • Experience with Data Governance Platforms (e.g.: Alation, Collibra, Informatica)
  • Knowledge of data access controls, encryption methods, and best practices for securing sensitive data assets.
  • Familiarity with data auditing, monitoring, and governance tools to ensure data quality and compliance.
  • Understanding of database systems, data warehousing concepts, and data modeling principles.
  • Proficiency in SQL for data querying, manipulation, and retrieval.
  • Knowledge of data integration techniques, ETL (Extract, Transform, Load) processes, and data pipeline development.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and services for data storage, processing, and analysis.
  • Experience with cloud-based data warehouses, data lakes, and serverless computing environments for scalable data processing and analytics.
Responsibilities

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