Manager, Data Platforms

Alberta Innovates / InnoTech AlbertaEdmonton, AB
Hybrid

About The Position

As a Manager Data Platforms, you will lead the day-to-day development, operations, and continuous improvement of the enterprise data platform including lakehouses, pipelines, dataflows, and semantic models across Alberta Innovates, InnoTech Alberta, and C-FER Technologies. Working within the strategic direction set by the Director, Data and Analytics, the Manager translates organizational data priorities into platform capabilities, ensuring high-quality, trusted data products are reliably delivered to support analytics, reporting, and data-driven initiatives. The role leads a technical team responsible for platform engineering, data integration, reporting, and solution delivery, and partners with cross-functional stakeholders to execute the data platform roadmap. By aligning data products and solutions with organizational priorities, the manager will ensure that data-driven initiatives support critical business objectives across Alberta Innovates, InnoTech Alberta, and C-FER Technologies. This role involves collaborating with cross-functional teams to create scalable, ethical, and high-performance AI architectures, while also driving the creation of proof of concepts (POCs) to validate new technologies. Ultimately, this position plays a pivotal role in fostering data literacy, promoting data access, and harnessing advanced analytics to meet the organization's evolving needs.

Requirements

  • Diploma in computer science, computer systems technology, Information technology, or related discipline.
  • Minium 10 years in-depth Information Technology experience in progressively more responsible positions; including 4 years’ experience in application integration.
  • Minimum 1 year leadership/management experience of a team
  • Experience implementing cloud-based services, technologies, and platforms.
  • Experience working in a professional Microsoft environment.
  • Digital transformation experience, focused on process improvements within the business.
  • Microsoft Fabric Analytics Engineer Associate (DP-600)
  • Azure Data Engineer Associate (DP-203)
  • AI Engineer Associate (AI-102)
  • Azure Solutions Architect Expert (AZ-305)

Nice To Haves

  • Power BI Data Analyst Associate (PL-300).
  • Azure Administrator Associate (AZ-104).
  • Broad knowledge of IT architecture tools and methods.
  • Knowledge of portfolio management, program management, and project management.
  • Solid foundation in system analysis and design, and application development and programming (SDLC).
  • In-depth knowledge of packaged systems and how they integrate into the business, processes required to choose a provider and implement the solution.
  • Ability to communicate complex architectural and security concepts in plain language.
  • Strong planning, priority management, and time management skills.
  • Ability to extract business needs and functional requirements to implement appropriate technologies and programs.
  • Capable of influencing others, creating buy-in, and maintaining high customer satisfaction and trust.
  • Proven ability to work with business unit leaders to gain an understanding of where the business is going, build plans to support them getting there.
  • Ability to manage multiple projects/tasks simultaneously while ensuring partnerships remain intact.
  • Excellent verbal, written, listening, and interpersonal skills.

Responsibilities

  • Leads the day-to-day development, operations, and continuous improvement of the enterprise data platform including lakehouses, pipelines, dataflows, and semantic models.
  • Manage platform configuration, capacity planning, workspace governance, environment strategy (dev/test/prod), and user access controls.
  • Monitor platform health and performance, resolving incidents and coordinating with Microsoft support as required.
  • Maintain and evolve the enterprise reference architecture, ensuring all workloads conform to established patterns and security requirements.
  • Evaluate and select technologies, tools, and frameworks to enhance platform capabilities and performance
  • Lead the transition toward repeatable deployment practices, including CI/CD pipelines and automation where applicable.
  • Oversee the ingestion of enterprise and business data sources into Fabric, following approved ingestion patterns and onboarding criteria.
  • Ensure data pipelines are reliable, monitored, and aligned to established error handling, lineage, and security standards.
  • Spearhead integration of disparate data sources, applications, and databases to create a unified data ecosystem.
  • Collaborate with IT teams to implement secure and efficient data APIs and connectors for data exchange.
  • Develop and maintain data integration frameworks, including guidelines for data exchange, transformation, and synchronization.
  • Coordinate with source system owners to clarify integration responsibilities and downstream consumption requirements.
  • Lead the team in development and maintenance of dashboards, reports, and data products aligned with organizational priorities.
  • Collaborate with business units to identify KPIs, metrics, and reporting requirements that address critical business needs.
  • Oversee integration of data from multiple sources into comprehensive, centralized reporting outputs.
  • Partner with the Data Governance Manager to ensure data products leverage certified (gold) datasets from the Data Catalogue.
  • Support the infrastructure that enables self-service reporting for business developers, in coordination with governance-defined standards.
  • Design scalable AI and LLM architectures for optimal performance and integration with existing platform infrastructure.
  • Monitor, evaluate, and continuously improve AI model performance, aligning outputs with business goals.
  • Promote innovation in AI-driven analytics, automation, and forecasting to support organizational priorities.
  • Provide leadership to the data platform team: set clear goals, monitor performance, and drive professional development.
  • Offer ongoing feedback, mentorship, and training to build team capability and high performance.
  • Working within the budget parameters established by the Director.
  • Manage projects and vendor/contract obligations.
  • Define project scopes, objectives, and successful criteria for platform development and integration initiatives.
  • Maintain strong relationships with internal stakeholders across Alberta Innovates, InnoTech Alberta, and C-FER Technologies.
  • Ensure adherence to organizational policies, practice standards, and change management processes.

Benefits

  • Competitive compensation aligned with internal classification and pay bands
  • Comprehensive benefits, including health and dental coverage and pension benefits
  • Vacation starting at three weeks, plus paid time-off programs that support balance
  • Opportunities for learning and professional development
  • A respectful, inclusive work environment that values collaboration and diverse perspectives
  • Flexible work arrangements, where operationally feasible
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service