SENIOR DATA SOLUTIONS INTEGRATOR (Toronto)

Job ID: 64883

Job Category: Engineering & Technical

Division & Section: Toronto Paramedic Services, PS Toronto Central Amb Control Centre

Work Location: 4330 Dufferin St

Job Type & Duration: Full-time, Temporary (12 month) vacancy

Salary Range: $115,672.00 - $160,649.00

Hiring Zone: $126,856 to $137,539

Shift Information: Monday to Friday, 35 Hours per week

Affiliation: Non-Union

Number of Positions Open: 1

Posting Period: 16-Jun-2026 to 30-Jun-2026

Job Description

Reporting to the Commander of System Performance, you will lead strategic data analytics and research initiatives focused on leveraging complex, large-scale datasets to generate actionable insights that inform divisional decision-making and policy development. You will oversee the end-to-end data lifecycle, including collection, management, analysis, interpretation, and dissemination, while applying advanced analytical techniques, predictive modeling, and innovative data solutions to address operational and planning challenges.

Within the division, you will collaborate with senior leaders, cross-divisional partners, and external stakeholders to advance data-driven transformation initiatives. This includes developing and implementing data strategies, modernizing analytics environments, and integrating diverse data sources to support evidence-based decision-making. Through the application of leading-edge tools, cloud technologies, and multidisciplinary research methods, you will play a key role in enhancing service delivery, driving organizational performance, and supporting strategic priorities.

Responsibilities

• Planning, strategy and communication
  • Participate in planning and developing long-range objectives and organization and management change initiatives related to data, analytics and information.
  • Develop prototypes, proofs of concepts, algorithms, predictive models, data mining and discovery, and custom analyses that leverage available data sets.
  • Plan and develop methods and procedures for collecting, organizing and analyzing data, interpreting results for decision making, and applying data analytics system planning and operations.
  • Research best practices and prepare briefing notes, technical documentation to support analysis, policies, and data management for the Division.
  • Provide input on and administer assigned budget, ensuring expenditures stay within approved limits.
  • Prepare correspondence, presentations and reports to City Council, Standing Committees, councillors and public inquiries related to divisional matters.
  • Develop, maintain and implement data management, deployment and use strategy for the division, focusing on leveraging existing data assets in new ways and novel dynamic data sources for evidence-based decision-making.
  • Ensure data collection, management, analysis and dissemination are of high technical quality and that recommendations align with the Division's and City's strategic plans.
• People leadership and relationship management
  • Supervise, motivate and train assigned staff regarding data gathering, use and analytics, ensuring effective teamwork and high standards of work quality.
  • Supervise day-to-day operations of all assigned staff, including scheduling, assignment, and review of work.
  • Monitor and evaluate staff performance, approve salary increments, hear grievances, and recommend disciplinary action when necessary.
  • Foster successful relationships with divisional staff and partners through consultation, mediation, presentations and communication.
  • Manage all aspects of contracts with consultants and contractors engaged in data strategy and analysis work, including preparation of contract documents, tenders and monitoring progress.
  • Work with internal and external partners and private sector collectors, disseminators and analysts to collect and analyze data on behalf of the division.
• Data analytics and research leadership
  • Implement detailed plans and recommend policies and procedures regarding program-specific requirements.
  • Perform on-demand, large-scale, exploratory and targeted data research and analysis, applying statistical analysis and modeling for applications.
  • Use leading-edge data analytic techniques to analyze large data sets with innovative and analytically-sound deliverables.
  • Design, perform and interpret data-intensive applied research using varied data sources to support divisional program decisions.
  • Apply multidisciplinary concepts to develop and implement innovative solutions to complex problems.
  • Utilize data-intensive programming languages and statistical software packages such as R, Python, Java, SQL, HTML, Perl, Mathematica, MATLAB, SPSS, QGIS, Tableau, Postgres, Oracle, and MS SQL Server.
  • Produce evidence-based analytical solutions to issues related to planning, programming and operations with actionable information derived from data assets.

Key Qualifications

• Post‑secondary education in Statistics, Computer Science, Economics, Engineering, Mathematics or a related quantitative field (or an approved equivalent combination of education and experience).
• Considerable experience leading projects in data analytics, reporting, data science, applied research, machine learning or a related field.
• Considerable experience manipulating, cleaning and analyzing large datasets, and building data pipelines, ETL processes and data warehousing solutions.
• Experience with transactional database environments such as Oracle, SQL Server, PostgreSQL and SAP.
• Experience with statistical computing and object‑oriented programming languages (Python, SQL, Java, etc.).
• Experience with large‑scale data processing software and cloud platforms like Azure, AWS or GCP.
• Excellent oral communication, writing, presentation and interpersonal skills to effectively communicate with technical staff, business units and senior management.
• Highly developed people‑leadership skills and ability to coach and support staff development.
• Highly developed facilitation, problem‑solving and conflict resolution skills.
• Strategic thinking skills, with the ability to develop recommendations that advance the organization and improve service to the public.
• Ability to translate data insights into business decisions.
• Ability to exercise discretion and judgment with confidential information related to human resources and transformation initiatives.
• Exceptional ability to distill technical concepts to business users and vice versa.
• Strong self‑motivation, attention to detail and organizational skills.
• Political acuity with knowledge of government innovation.
• Knowledge of emergency medical services system and paramedicine is considered an asset.

Hybrid Work Program

The City of Toronto's Workplace Modernization Program offers flexibility in how employees work. The Hybrid Work Program supports a flexible approach that combines remote work with in‑person collaboration and teamwork experiences.

Accommodation

The City of Toronto is committed to creating an accessible and inclusive organization. It complies with the Accessibility for Ontarians with Disabilities Act (AODA). Candidates requiring accommodation during the recruitment process may request assistance, and the City will work to meet those needs.

Equity, Diversity and Inclusion

The City is an equal‑opportunity employer dedicated to creating an inclusive workplace culture that reflects the diverse community it serves.