Infrastructure Ontario (IO), an Ontario crown corporation, provides a wide range of services to support the Ontario government’s initiative to modernize and maximize the value of public infrastructure and realty. IO has been recognized domestically and internationally for the way it does business and the success it has had with its major projects, real estate services, infrastructure lending, commercial projects, and development mandate. IO delivers some of the most complex, ambitious commercial and land development solutions for the Province and continues to evolve and expand its capabilities to maximize its public impact and deliver on its vision of creating a connected, modern and competitive Ontario.
Infrastructure Ontario (IO) is advancing a renewed enterprise-wide data strategy focused on building strong data foundations—including data and AI governance, data management, a centralized analytics platform, and data literacy. We are elevating our analytics practice to help the organization use data to solve complex business problems, drive evidence‑based decision‑making, and improve service delivery across the enterprise.
The Data Science Manager is an individual contributor role, reporting to Director, Data and Analytics, that plays a critical role at the intersection of business and technology. The role plays a critical part at the intersection of business and technology, serving as both a strategic analytics partner and analytics engineering lead. This individual will help shape business questions, translate requirements into scalable data and analytics solutions, and develop enterprise data products that create measurable business value.
The role will help mature IO's data and analytics capabilities through the development of enterprise data products, curated analytical datasets, and scalable reporting and analytics solutions. Partnering closely with business stakeholders, data governance, data engineering, architecture, and IT teams, this role will translate business requirements into reusable data assets that support reporting, advanced analytics, self‑service, and AI use cases. Working within a small and evolving team, this individual will combine strong consulting and stakeholder engagement skills with hands‑on expertise in data modelling, analytics engineering, and modern data platforms. The ideal candidate is equally comfortable engaging business stakeholders to define requirements and KPIs as they are designing data models, developing enterprise data products, and enabling scalable analytics solutions that advance IO's enterprise data strategy.
What You Will Do
Analytics Engineering & Data Product Development
- Partner with business stakeholders to understand decision‑making needs, reporting requirements, and opportunities to create value through enterprise data products.
- Translate business requirements into scalable data models, curated datasets, KPI frameworks, semantic models, and analytics solutions.
- Design, build, and maintain enterprise data products, business‑ready datasets, and analytical data models that support reporting, self‑service analytics, AI, and operational decision‑making.
- Define and implement business rules, metric definitions, KPI calculations, dimensional models, and semantic layers that enable trusted and consistent enterprise reporting.
- Apply analytics engineering best practices to structure, transform, and model data within IO's centralized data platform, developing reusable assets, standards, and modelling patterns.
- Collaborate with Data Governance Manager, Data Engineering, and IT teams to operationalize trusted and scalable analytics solutions.
Data Foundations and Data Quality
- Lead and support data quality initiatives, including data profiling, quality rule definition, issue identification, remediation planning, and ongoing monitoring.
- Contribute to enterprise metadata standards, business definitions, reference data structures, and data governance practices.
- Support the implementation of data products that are AI‑ready, well‑documented, and aligned with enterprise architecture and governance standards.
- Promote best practices for analytics engineering, data modelling, data product development, and data lifecycle management.
Advanced Analytics & AI
- Apply statistical and analytical techniques to uncover insights that support strategic and operational decision‑making as needed.
- Support the development and operationalization of predictive, forecasting, and AI‑enabled solutions where business value can be demonstrated.
- Collaborate with business and technology teams to assess opportunities for advanced analytics and artificial intelligence within enterprise data products.
Data Literacy & Organizational Enablement
- Support the development of data literacy materials, standards, and enablement programs.
- Empower stakeholders to interpret dashboards, analytics products, and data models with confidence.
- Provide technical guidance and leadership to analysts within business units to modernize skills related to proper data structuring, data input design, and use of business intelligence tools to enable self‑service within business lines.
- Contribute to building a cohesive analytics community of practice across IO.
Who You Are
Experience & Education
- Several years of experience in analytics engineering, business intelligence, data analytics, data science, or a related field developing enterprise‑scale data and analytics solutions.
- Demonstrated experience designing analytical data models, business‑ready datasets, semantic layers, reporting solutions, or enterprise data products.
- Experience working with business stakeholders to translate requirements into scalable analytical and reporting solutions.
- Experience mentoring colleagues and providing technical leadership is an asset.
- Advanced degree in Computer Science, Business Analytics, Data Science, Statistics, Mathematics, Engineering, or a related discipline is preferred.
- Equivalent combinations of education and relevant experience will be considered.
Technical Skills
- Advanced SQL skills and experience working with large, complex datasets.
- Strong experience in data modelling, dimensional modelling, star schemas, semantic modelling, and analytical data structures.
- Experience building curated analytical datasets, enterprise reporting layers, and reusable data assets.
- Experience with Databricks, Microsoft Fabric, Azure Synapse, Snowflake, or similar modern analytics platforms.
- Experience with medallion architecture and modern data platform methodologies.
- Experience with Python, R, or equivalent analytical programming languages.
- Experience with Power BI, semantic models, reporting platforms, and self‑service analytics enablement.
- Experience defining and implementing data quality controls and remediation processes.
Consulting and Delivery Skills
- Strong consulting skills, able to translate complex analytical concepts into clear, actionable insights for non‑technical audiences.
- Experience guiding clients through requirements gathering, business discovery, and analytics scoping.
- Specialized knowledge of design thinking process / client centric design (asset).
- Experience working in a public sector or with a public sector entity (asset)
What We Offer
- Commitment to creating a diverse, equitable and inclusive culture that promotes a sense of belonging and represents and reflects the needs of the communities we serve.
- A defined contribution pension plan, where IO contributes the equivalent of 5% of a full‑time employee’s annual salary, with an option for IO to match an additional 5% contribution made by the employee. IO also offers a Group Retirement Savings Plan and Group Tax Free Savings Account, designed to help IO colleagues plan and save for their future.
- A comprehensive package that covers health, dental, vision, out‑of‑country care, paramedical services, and more.
- A pregnancy and parental leave program that offers expecting, eligible employees a top‑up to 95% of their annual base salary for 31 weeks, and our parental leave program offers eligible employees a top‑up to 95% of their annual base salary for 15 weeks.
- Access to our $1000 Healthcare Spending Account to top up expenses not covered in the benefits program and a Lifestyle Account that expands the eligibility of health and wellness options and can include coverage for gym memberships and fitness equipment, nutrition counselling or financial planning.
- Support for professional development opportunities for all colleagues through a broad range of learning programs that include in‑person and online training, leadership development, and support for colleagues’ well‑being. IO will also cover the costs associated with up to two membership and license fees per year for eligible colleagues if directly related to the employee’s role.
- Access to a suite of virtual healthcare options to support non‑urgent medical needs.
- A convenient, central location at 1 Dundas St West, easily accessible by public transit.
We offer a competitive salary range of $118,500 to $135,200 (P5 level), pay will align with skills, knowledge and experience of the candidate.
This posting will close on Friday August 28th, 2026 at 11:59 pm.
Interviews will occur on a rolling basis until the role is filled.
This posting is for a current active vacancy. We are actively recruiting to fill this position.
After reviewing the qualifications listed above, we want you to know that we understand you may not meet all the qualifications described, but still encourage you to apply, as you may have other relevant expertise and experience that you can bring to the role.
At Infrastructure Ontario, we strive to create a culture that encourages a diverse equitable and inclusive environment that fosters belonging. We believe that experience comes in many forms and through learning from each other's differences and perspectives gives us strength. We are committed to enhancing our culture and encourage applications from all walks of life. Let us know if you require any accommodations for the selection process, by contacting the Talent Acquisition Team.
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience will be taken into consideration as applicable to the posted position.
At Infrastructure Ontario, we use AI in our applicant tracking system to improve the efficiency and fairness of recruitment. Your application will be reviewed by both AI and our hiring team for a thorough evaluation. Please note that final hiring decisions are made solely by our experienced hiring team.