Sr Data Governance Lead, Automation & Operations

Rogers Communications, Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Rogers Communications, Inc. is seeking a Sr Data Gov Lead, Auto & Ops to advance enterprise data governance maturity through modernization, automation, and governance-by-design practices.

You will translate requirements into scalable operating models, controls, and automated solutions with privacy, security, and compliance in mind. Working with business and technology teams, you will embed governance into day-to-day operations, establish metrics, and drive continuous improvement while reducing

Qualifications

• Strong governance framework experience with data quality emphasis.
• Ability to design scalable governance and automation solutions.
• Proven stakeholder collaboration and cross-functional influence.

Responsibilities

• Lead modernization of governance processes, metrics, and controls.
• Drive automation, data quality improvements, and design operating models.
• Partner with tech teams to implement governance capabilities across the enterprise.
• Develop training and adoption guidance for governance practices.
• Identify governance risks and remediation opportunities for maturity gains.

Skills

Governance & Data Quality

Automation & Tools

Stakeholder Engagement

Process Improvement

Risk & Compliance

Job description

Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast.

If you are interested in being a part of this, consider applying for the following opportunity.

Who We’re Looking For

We are seeking a motivated Sr Data Gov. Lead, Auto & Ops to join our team. Reporting to the Senior Manager of Data Governance & Quality Operations, this role is responsible for advancing the maturity of Rogers' Enterprise Data Governance program by modernizing governance processes, operationalizing governance-by-design practices, and leveraging automation to improve efficiency, adoption, compliance, and data quality outcomes across the organization.

Working across business and technology teams, the successful candidate will translate governance requirements into scalable operating models, processes, controls, and automated solutions that reduce manual effort and enable sustainable program growth.

What You’ll Do

Drive Governance Modernization, Automation & Continuous Improvement

• Assess and modernize governance processes, workflows, and operating practices to improve operational efficiency, scalability, governance maturity, and user experience.
• Establish governance metrics, reporting, and assessment capabilities to measure effectiveness, identify risks & improvement opportunities, and drive continuous improvement.
• Lead continuous improvement initiatives that enhance governance processes, standards, controls, governance-by-design practices, and data quality capabilities, reducing manual effort and increasing governance effectiveness across the enterprise.
• Drive the adoption of Data Governance practices through stakeholder engagement, guidance, training, and advisory support, helping teams embed governance requirements into day-to-day operations and strategic initiatives.
• Identify governance-related risks, gaps, and remediation opportunities to improve governance maturity, compliance, and operational effectiveness.
• Monitor emerging governance and regulatory industry trends, incorporating relevant practices and requirements into the organization's governance framework and operating model.

Implement and support the operationalization of our Data Governance framework

• Partner with the Senior Manager, Data Governance & Quality Operations and Technology teams to translate governance requirements from current into scalable operating models, automated processes, controls, governance capabilities and technical solutions that support privacy, compliance, security, risk management and data quality objectives and drive future-state improvements.
• Operationalize data governance standards, processes and controls that improve compliance, consistency and adoption.
• Document, and continuously improve Data Governance operating models