Data & Analytics Manager

OLG; Sault Ste. Marie; Presencial; CAD 78.000 - 118.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Group Benefits Plan

Variable Pay Program

Public Service Pension Plan

Paid Time-Off

Growth Focus

Equity, diversity, and inclusion

Descripción de la vacante

OLG in Canada seeks a Data & Analytics Manager to lead business-aligned analytics delivery, enablement, and data product development across an assigned portfolio. You will translate stakeholder priorities into trusted analytics, reporting, and decision-support capabilities, partnering with Strategic Analytics, Data Governance, Data Platforms, and AI teams to raise analytics maturity and self-sufficiency.

The role focuses on establishing KPI frameworks, scalable data products, and self-service

Formación

• 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 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 BI capabilities that support operational and strategic decision-making.

Responsabilidades

• 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 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, BI 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 elevate 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.

Conocimientos

Data analytics

Organisational capability development

Stakeholder relationship management

Measurement

Business intelligence

Educación

University degree or college diploma in Data Analytics, Computer Science, Information Management, Business, Mathematics, Statistics, Economics, or related field

Descripción del empleo

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.

Range

78,400.00 - 117,600.00 CAD

Your role in the game

• 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 elevate 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.

Education & Experience

What you bring to the game

• 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.

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 [e-mail] if you require accommodation at any time throughout the hire process.

We welcome applicants from all backgrounds and experiences.

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 [e-mail], 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2.