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Manager Implementation Science Jobs in Ontario (NOW HIRING)

Consulting Manager- EPM

Toronto, ON · On-site

$180 - $185/hr

Manager - Enterprise Performance Management (EPM) Solutions About Voiant Voiant Group Canada, Inc ... sciences, pharmaceuticals, or medical devices. * Experience implementing multiple Varicent ...

Implement proactive monitoring, alerting, and observability for data pipelines and platforms ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Consulting Manager- EPM

Toronto, ON · On-site

$180 - $185/hr

Manager - Enterprise Performance Management (EPM) Solutions Company: Voiant Group Canada, Inc ... sciences, pharmaceuticals, or medical devices. * Experience implementing multiple Varicent ...

Experience leading complex data science initiatives from discovery through implementation ... management. * Experience with vector databases, semantic search, embeddings, RAG pipelines, or ...

POS (GK Software) Specialist

Toronto, ON · Hybrid

CA$82 - CA$87/hr

Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related ... management experience. Must-Have Skills * GK Software POS configuration and implementation ...

Working in a collaborative environment and along with the Development Manager, implement best ... Science or similar \n \n \n \n \n \n \n Nice to haves \n \n \n * Experience with Redis and\/or ...

Country Manager

Ottawa, ON · On-site +1

CA$150K - CA$175K/yr

This Regional Sales Manager is responsible for the recruitment, retention, and development of a ... implementing countermeasures as needed. The position reports to the Sr. Director of Life Science ...

Showing results 41-60

Manager Implementation Science information

What is a Manager Implementation Science?

A Manager Implementation Science is a professional who leads and coordinates projects that translate scientific research into practical applications, particularly in healthcare, public health, or organizational settings. Their role involves overseeing teams, designing strategies to implement evidence-based practices, evaluating outcomes, and ensuring interventions are effectively integrated into real-world environments. They often bridge the gap between research and practice by collaborating with stakeholders, analyzing data, and promoting continuous improvement. This position requires strong leadership skills, expertise in implementation science methodologies, and experience in project management.

What are the key skills and qualifications needed to thrive as a Manager Implementation Science?

To thrive as a Manager Implementation Science, you need advanced knowledge in implementation science methodologies, research design, and project management, typically supported by a master's or doctoral degree in public health, healthcare, or a related field. Familiarity with data analysis software (e.g., SPSS, R), evidence-based practice frameworks, and experience with grant writing or regulatory requirements is often required. Strong leadership, communication, and stakeholder engagement skills help drive adoption of research findings across interdisciplinary teams. These skills ensure effective translation of evidence into practice, improving organizational outcomes and advancing public health initiatives.

What are some common challenges faced by a Manager Implementation Science when leading cross-functional teams?

As a Manager Implementation Science, you may encounter challenges such as aligning diverse stakeholders with varying priorities, translating complex research findings into actionable strategies, and ensuring consistent communication across departments. Successfully navigating these challenges often requires strong project management skills, the ability to foster collaboration, and a talent for bridging the gap between research and practice. Building trust and clarity among team members is key to effective implementation and achieving organizational goals.

What is the difference between Manager Implementation Science vs Implementation Specialist?

AspectManager Implementation ScienceImplementation Specialist
Required CredentialsBachelor's or Master's in Public Health, Healthcare, or related field; experience in implementation scienceBachelor's degree; experience in healthcare or program implementation
Work EnvironmentOversees teams, develops strategies, manages projects in healthcare or research settingsSupports implementation activities, conducts training, assists in project execution
Employer & Industry UsageHealthcare organizations, research institutions, public health agenciesHealthcare providers, public health programs, community organizations

The Manager Implementation Science typically has a broader leadership role, overseeing implementation projects and teams, while the Implementation Specialist focuses on supporting and executing specific implementation activities. Both roles require relevant experience, but the manager often has more strategic responsibilities and higher qualifications.

What cities in Ontario are hiring for Manager Implementation Science jobs?

Cities in Ontario with the most Manager Implementation Science job openings:

Infographic showing various Manager Implementation Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Manager, Data Quality & Controls

Morningstar DBRS

Toronto, ON

Full-time

Posted 8 days ago


Job description

The Role:

Morningstar DBRS is seeking a Manager, Data Quality & Controls to lead the development and execution of the enterprise data quality and controls program. Reporting to the Senior Director, Data Products, this role will assess existing controls, identify gaps, and establish standards, processes, and governance to ensure critical ratings, regulatory, and enterprise data is accurate, complete, well-documented, and fit for purpose.

The Manager will drive the data controls roadmap, design scalable quality controls, and partner across Data Management, Credit Operations, Technology, Legal, Risk, Compliance, and Product teams to embed strong data practices into operations, regulatory reporting, platform modernization, and AI initiatives.

The ideal candidate has experience building or enhancing data governance and control frameworks within a regulated financial services environment and can influence stakeholders across all levels of the organization.

Key Responsibilities

Data Controls & Governance

Lead the design and ongoing enhancement of the enterprise data controls framework, including governance standards, workflows, metrics, issue management, and remediation processes. Assess existing controls, identify gaps, and drive improvements that align with regulatory requirements, audit expectations, and industry best practices. Own the data controls roadmap and promote data stewardship, accountability, and ownership across the organization.

Standards, Procedures & Data Quality

Develop and maintain data governance standards, procedures, and controls related to data quality, metadata, lineage, documentation, classification, retention, and issue management. Implement data quality checks, validations, and monitoring processes to ensure critical datasets remain accurate, complete, and compliant with legal, regulatory, and internal requirements.

Data Platform & External Feed Controls

Partner with business and technology teams to support platform modernization and data-feed initiatives, ensuring data integrity and control continuity throughout migrations and enhancements. Define control requirements for data products, integrations, APIs, analytics, and AI-enabled solutions, while establishing quality standards and validating migration outcomes.

Leadership & Team Development

Lead and develop a team of data analysts by providing coaching, setting priorities, and overseeing deliverables. Drive excellence in data quality monitoring, metadata management, issue remediation, and the adoption of data governance best practices and tools.

AI-Ready Data Management

Establish data and metadata standards that support AI, analytics, and automation initiatives. Ensure datasets are properly documented, governed, and controlled, with clear ownership, lineage, and quality measures. Collaborate with Compliance, Legal, Risk, and Technology teams to promote responsible AI practices, data privacy, and transparent use of enterprise data assets.

Qualifications & Experience

  • Bachelor's degree in Business, Economics, Finance, Data Science, Computer Science, or Management Studies (Master's a plus).

  • 5 + years of Proven experience building a data controls governance program in a regulated financial services environment.

  • Ability to work independently with senior managers and align stakeholders.

  • Strong understanding of controls, governance frameworks, data quality, metadata, and lineage.

  • Experience authoring policies, standards, and procedures, data-quality controls and KPIs.

  • Experience supporting regulatory data and reporting processes; familiarity with data-related regulatory expectations in financial services is a strong asset.

  • Prior people-management or team-lead experience, with the ability to coach and develop analysts is a plus, but not required

Technical Skills

Technical requirements emphasize control execution, data-quality oversight, and monitoring.

  • Cloud and data platforms: exposure to modern cloud platforms: Snowflake, Azure, or AWS

  • Data controls and catalog platforms: experience with metadata, lineage, and catalog tools such as DataHub, Collibra, Alation, Informatica, Microsoft Purview, or equivalents.

  • SQL: ability to query, analyze, and validate large datasets in MS SQL Server or similar platforms.

  • Data quality and lineage: data profiling, reconciliation, root-cause analysis, and end-to-end lineage documentation.

  • AI controls: working understanding of responsible-AI principles and controls for AI-ready data.

  • BI and analytics: experience building governance, data-quality, control, or operational dashboards using Power BI, Tableau, Excel, or similar tools.

  • Financial data: familiarity with fixed income, structured finance, credit ratings, and capital-markets data; experience with Bloomberg and/or Refinitiv Eikon is a plus.

Core Competencies

  • Excellent communication skills, with the ability to explain data controls concepts to technical and business audiences.

  • Strong stakeholder management and influencing skills.

  • Subject-matter expertise in data controls, data quality, metadata, lineage, and regulatory data practices.

  • Sound judgment, attention to detail, and a structured results-oriented approach to complex problems.

  • Self-starter with the ability to manage multiple priorities, navigate ambiguity, and deliver on time.

Base Salary Compensation Range$89,604.00-$137,396.00

Incentive Target Percentage

20% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

R06_DBRSInc DBRS, Inc. - US Legal Entity