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Added 7 mins ago
SH
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- Full-time
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LV
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Added 38 mins ago
IF
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OLG

Data & Analytics Manager

Sault Ste. Marie, ON, Canada
Toronto, ON, Canada
York Mills Office, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 11, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Range:

78,400.00 - 117,600.00 CAD

Job Description:

Data & Analytics Manager

We are ready to take this game to the next level and need someone passionate to lead business-aligned analytics delivery, enablement, and data product development within an assigned portfolio by translating stakeholder priorities into trusted analytics, reporting, performance measurement, and decision-support capabilities. The role partners closely with business stakeholders to drive data-informed decision-making while identifying opportunities to develop, adopt, operationalize, and continuously improve enterprise data products, reusable analytical assets, self-service capabilities, and analytics best practices. Through collaboration with Strategic Analytics, Data Governance, Data Platforms, and AI teams, the role strengthens business capability, advances analytics maturity and data literacy, and develops the skills, practices, and reusable capabilities required to support long-term business self-sufficiency and value realization.

YOUR ROLE IN THE GAME

Reporting to the Sr Manager Data & Analytics, you will be empowered to:

Lead business-aligned analytics initiatives from intake through delivery, adoption, and value realization, ensuring analytics capabilities, data products, and analytical assets support portfolio priorities, business outcomes, and decision-making needs.
Partner with business stakeholders and enterprise teams to translate priorities into actionable analytics roadmaps, reporting solutions, measurement capabilities, data product opportunities, and self-service approaches that support operational and strategic objectives.
Develop analytics capability within the team and supported business areas through coaching, analytics literacy initiatives, learning delivery, knowledge sharing, reusable assets, best practices, and adoption of enterprise analytics capabilities that strengthen business self-sufficiency and decision-making maturity.
Guide and support the team in adopting, operationalizing, and embedding capabilities delivered by Strategic Analytics, including advanced analytics, experimentation, AI-enabled capabilities, enterprise measurement approaches, and reusable analytical assets, ensuring they are translated into measurable business value and integrated into business processes, decision-making practices, and portfolio operations.
Partner with Strategic Analytics, Data Governance, Data Platforms, and AI teams to support adoption of enterprise data products, trusted datasets, reporting assets, self-service solutions, and AI-enabled capabilities while promoting responsible usage, technical readiness, and alignment to enterprise standards.
Establish and maintain trusted KPI frameworks, performance measures, reporting standards, and value realization approaches that support business performance monitoring, data-driven decision-making, and continual improvement of portfolio outcomes.
Lead and coach analysts in identifying opportunities to convert recurring analytical demand into reusable assets, standardized reporting, self-service capabilities, enterprise data products, automation opportunities, and scalable analytical solutions, while identifying opportunities where advanced analytics, AI-enabled capabilities, or Strategic Analytics support can accelerate business value.
Ensure analytics outputs, recommendations, data products, reporting assets, and measurement frameworks are reliable, actionable, aligned with enterprise standards, and capable of generating measurable business value.
Develop, maintain, and promote trusted reporting, dashboards, performance scorecards, business intelligence capabilities, and portfolio-level data products that improve visibility, support decision-making, and enable consistent measurement of business outcomes.
Coach colleagues to develop their 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 to make learning recommendations or to escalate concerns.
Help individuals navigate areas of uncertainty, offering practical advice and connecting them with the appropriate resources when needed.
Support learning and development activities under routine supervision.

WHAT YOU BRING TO THE GAME

Education & Experience:

University degree or college diploma in Data Analytics, Computer Science, Information Management, Business, Mathematics, Statistics, Economics, or a related field.
5+ years of progressive experience in analytics, business intelligence, reporting, performance measurement, business analytics, or data product delivery roles within a complex enterprise environment.
Experience partnering with business stakeholders to translate priorities, challenges, and opportunities into analytics initiatives, reporting capabilities, measurement frameworks, and actionable recommendations.
Experience promoting adoption of analytics capabilities, reusable analytical assets, self-service solutions, or enterprise data products within business teams.
Experience delivering trusted reporting, dashboards, KPI frameworks, scorecards, and business intelligence capabilities that support operational and strategic decision-making.
Experience identifying opportunities to standardize recurring analytical work through reusable assets, reporting frameworks, automation, self-service capabilities, or data products.
Experience managing analytics demand, competing priorities, delivery commitments, and stakeholder expectations within a portfolio or business area.
Experience driving adoption, business readiness, analytics literacy, or capability-transfer initiatives that increase business self-sufficiency and analytics maturity.

Relevant Skills:

Data analytics
Organisational capability development
Stakeholder relationship management
Measurement
Business intelligence

BENEFITS OF JOINING THE WINNING TEAM

Group Benefits Plan: Comprehensive, employer-paid group benefits coverage.
Variable Pay Program: Participation in a performance-based incentive plan that recognizes organizational and individual achievements.
Public Service Pension Plan: Participation in a highly desirable defined benefit pension plan.
Paid Time-Off: Competitive paid time-off provisions to support work-life balance and well-being.
Growth Focus: Become your best self with comprehensive support for your professional development.
Equity, diversity, and inclusion: Core to OLG’s culture, empowering employees to bring their authentic selves and make a meaningful impact across Ontario.

To learn more about our organization and other opportunities visit our career site.

We look forward to hearing from you, interested applicants please apply online by November 10, 2026.

Please Note: Unless otherwise specified, all positions are required to work fully onsite.

OLG is an equal opportunity employer. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Please contact Human Resources at careers@olg.ca if you require accommodation at any time throughout the hire process.

We welcome applicants from all backgrounds and experiences. If you bring relevant skills and a willingness to learn, we encourage you to apply - even if you don’t meet every listed qualification. We sincerely appreciate your interest; while we are unable to contact everyone, those selected for the next steps will be notified.

We thank you for your interest in this opportunity; however only those individuals selected for an interview will be contacted.

Personal information is collected by the Ontario Lottery & Gaming Corporation (OLG) and/or its third party service provider(s) under the authority of the Ontario Lottery and Gaming Corporation Act, 1999, SO 1999, c 12, Sch L and the Employment Standards Act, 2000, S.O. 2000, c. 41 (as amended) and will be used for the purpose of determining qualifications for employment with OLG and for recruitment modernization initiatives. The information will be managed in accordance with all applicable laws, OLG’s Protection of Privacy Policy (the Policy) and related policies and procedures. For any questions about this collection, please contact careers@olg.ca, 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2.

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More about this job

Responsibilities

The Data & Analytics Manager leads business-aligned analytics initiatives, overseeing the delivery of data products, reporting, and performance measurement frameworks. They partner with stakeholders to drive data-informed decision-making while coaching the team to improve analytics maturity and self-sufficiency.

Requirements

Candidates must possess a university degree or college diploma in a relevant field and at least 5 years of progressive experience in analytics or business intelligence. Strong expertise in stakeholder management, KPI development, and the ability to translate business priorities into actionable data solutions is required.

Skills

Data analytics
Business intelligence
Performance measurement
Stakeholder management
Data product development
Reporting
KPI frameworks
Data governance
Strategic planning
Team leadership
Coaching
Data literacy
Automation
Analytical modeling
Project management

Benefits

Group benefits plan
Performance-based incentive plan
Public service pension plan
Paid time-off
Professional development support

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Business Intelligence
Performance Measurement
Data Governance
KPI Frameworks
Data Products
Reporting
Dashboards
Scorecards
Artificial Intelligence
Automation
Strategic Analytics
Data Literacy
Stakeholder Management
Enterprise Data
Self-service Analytics
Predictive Analytics
Experimentation
Portfolio Management
Change Management

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