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OLG

Operates Ontario gaming to maximize benefits

Senior Information Governance Partner

Data ManagementPosted on Nov 13
Full-time

About the Job

Requirements

  • At least 7 years of progressive experience in data governance, information management, data management, or a closely related enterprise governance function.
  • Experience implementing and maturing enterprise information and data governance practices, standards, and controls across multiple business areas.
  • Experience with data management capabilities such as metadata, catalogs, lineage, data quality, and reference or master data management.
  • Experience partnering with business and technology stakeholders to establish stewardship, ownership, and governance adoption.
  • Experience supporting compliance, audit, risk reporting, or control monitoring in a regulated or complex enterprise environment.
  • Experience developing guidance, training, and enablement materials to improve governance literacy and operational uptake.
  • Expertise in enterprise data governance framework development and implementation; data quality management, measurement methodologies, and quality scorecard development; Critical Data Element governance and enterprise data stewardship; governance operating models, accountability frameworks, and decision rights management; governance maturity assessments and roadmap development; enterprise risk management, regulatory compliance, and control monitoring; data product governance, data contracts, and analytics enablement; executive facilitation, stakeholder engagement, and change leadership; metadata management, data catalogs, data lineage, reference data and master data management; AI governance, responsible AI practices, and AI risk management; and governance technologies and data management platforms including IBM WatsonX and similar solutions.

Responsibilities

  • Operationalize and continuously improve OLG's federated information and data governance model and responsible AI governance practices by translating enterprise direction and policies into practical roles, processes, controls, decision forums, escalation paths, and ways of working across business and technology domains.
  • Establish and embed practices that enable data owners, stewards, and accountable AI business owners to execute their responsibilities for data quality, data definitions, access, lifecycle management, appropriate use, and management of data- and AI-related risks.
  • Develop, maintain, and operationalize enterprise information and data governance standards, frameworks, processes, and practical guidance to support consistent, responsible, and compliant use of information, data, and AI across OLG.
  • Lead development, implementation, and continuous improvement of OLG's Enterprise Data Quality Framework, including enterprise standards, quality dimensions, Critical Data Element governance, measurement methodologies, and quality monitoring practices.
  • Establish scalable enterprise data quality capabilities, including scorecards, monitoring processes, issue management practices, escalation procedures, and governance reporting for priority business domains and data products.
  • Lead enterprise workshops with business stakeholders, data owners, stewards, and subject matter experts to identify data quality priorities, align objectives, and establish governance accountability across business domains.
  • Facilitate and resolve complex cross-domain governance and data quality issues, working across business spokes to drive consistent practices, issue remediation, and enterprise alignment.
  • Sponsor and champion enterprise information and data quality improvement initiatives through business leadership teams, enabling sustainable ownership and accountability within business domains.
  • Establish enterprise stewardship networks and governance communities of practice that strengthen governance maturity, data literacy, and stewardship effectiveness across OLG.
  • Lead implementation and continuous improvement of information and data management capabilities, including metadata, lineage, cataloguing, data quality, reference and master data practices, and records management, to improve discoverability, consistency, and trust in enterprise information assets.
  • Partner with business and technology teams to mature governance, stewardship, data quality, and responsible AI capabilities through frameworks, coaching, tools, training, and enablement activities that strengthen ownership and self-sufficiency.
  • Partner with Data Architects, Data Product teams, and business stakeholders to ensure data quality requirements are embedded within data products, data contracts, analytics initiatives, and AI-enabled solutions.
  • Lead application of information, data, and AI governance risk assessment methodologies, including classification of AI use cases against responsible-use policies, applicable legal and regulatory obligations, and established risk criteria; monitor compliance, identify control gaps, and drive remediation of material governance issues.
  • Develop enterprise governance, stewardship, and data quality scorecards, KPIs, and executive reporting that provide visibility into governance maturity, quality performance, policy adherence, control effectiveness, and remediation priorities.
  • Conduct governance and data quality maturity assessments using recognized industry frameworks such as COBIT, DCAM, or equivalent, and develop improvement roadmaps that advance governance capabilities across OLG.
  • Develop, maintain, and execute enterprise information and data quality roadmaps aligned to strategic priorities, business outcomes, regulatory obligations, and AI governance requirements.
  • Partner with Legal, Privacy, Information Security, Risk, and other control functions to monitor evolving regulatory requirements and translate obligations into practical governance processes, controls, and assessments.
  • Support audit and compliance activities, including development of governance and data quality remediation plans, management action plans, risk assessments, and control monitoring processes.
  • Act as a subject matter expert in governance technologies and platforms, including IBM WatsonX and related governance tooling, supporting implementation, adoption, and capability advancement across OLG.
  • Lead governance communications, learning, and literacy programs that build understanding of governance accountabilities, stewardship responsibilities, responsible AI requirements, and enterprise data management practices.
  • Coach colleagues to develop target skills and capabilities in line with team and personal goals.
  • Allocate routine tasks or project work in line with team objectives and individual capabilities, monitor quality and performance against agreed criteria, make learning recommendations, or escalate concerns.
  • Help individuals navigate areas of uncertainty by offering practical advice and connecting them with appropriate resources.
  • Support learning and development activities under routine supervision.

About the Company

OLG

Operates Ontario gaming to maximize benefits

OLG operates gaming entertainment in Ontario, focusing on activities that maximize economic benefits for the people of Ontario while acting in an efficient and socially responsible way. Its core asset is its people, indicating a people-centric organization that relies on its staff to deliver services. How it works: OLG runs and manages gaming activities and experiences for customers, leveraging a trained workforce to provide entertainment and enforce responsible gaming practices. How it differs from competitors: OLG emphasizes social responsibility and economic benefit for residents, not just revenue, and treats its employees as its greatest asset, aiming for efficient operations that benefit the public. Goal: to maximize the economic benefits for Ontarians through gaming activities delivered responsibly and supported by its workforce.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
1975

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