Bilingual Senior Manager, Data Operations

Résumé du poste

The Senior Manager of Data Operations is responsible for the end-to-end management, reliability, and evolution of enterprise data platforms and engineering capabilities. This role provides functional leadership to data engineering teams to ensure stable, scalable, and secure data ecosystems that support organizational analytics and decision-making.

Détails du poste

Job Requisition ID: 12431 Position Status: Permanent Full Time Position Type: Hybrid Office Location: Montreal (QC); Ottawa (ON) Travel Requirement: Limited Language Designation: Bilingual Language Skill Levels (Read/Write/Speak): CBC Security Requirement: Secret Salary: Our salaries generally range from $ 129175.28 to $ 161469.09 and are based on qualifications and experience. About CMHC The work you do and the work we do together matters. We come to work every day with a common purpose: to contribute to a well-functioning housing system. At CMHC, we hold ourselves accountable for our results and support our colleagues in their achievements. We thrive on collaboration, connecting across CMHC and involving the right people to get our work done. Our leadership style is guided by trust, where our leaders favour an adaptive approach based on the needs of their teams. Join us and be part of a team that's committed to making a real difference and be part of something meaningful. What’s in it for you We’ve got the purpose, the people and the perks you need for a fulfilling career. Here’s the comprehensive and generous benefits you get when you’re a permanent employee: * Annual Paid vacation. * Annual individual performance incentive. * Defined benefit pension plan. * Comprehensive group insurance plan to support your well-being from day one. * Support towards your personal and professional growth with training, mentorship and more. * An inclusive workplace culture and environment. About the role Join the Infrastructure and Operations team, in the Senior Manager, Data Operations position, where you will be accountable for the end-to-end operational management, reliability, and evolution of the organization’s data platforms and data engineering capabilities. This role ensures that data ecosystems, pipelines, and platforms are stable, scalable, secure, and performant, enabling reliable analytics, reporting, and data-driven decision-making across the enterprise. The role provides functional and people leadership to Data Engineers, translating strategy into operational execution, standards, and measurable outcomes. What you'll do: * Own and ensure the operational health, availability, performance, and reliability of enterprise data platforms and pipelines, including data ingestion, transformation, storage, delivery, and quality management. * Lead and develop Data Engineering teams through coaching, performance management, skills development, workload prioritization, and fostering a culture of automation, operational excellence, and continuous improvement. * Establish and enforce operational standards and engineering best practices for ETL/ELT processes, batch and near real-time data processing, version control, testing, deployment, and documentation. * Manage platform operations and resilience, including incident, problem, and change management, while ensuring strong data integrity, quality, recovery capabilities, and business continuity. * Oversee operational governance, compliance, and risk management by enforcing security, privacy, and data governance requirements, monitoring risks, and tracking key operational KPIs such as availability, reliability, recovery, and throughput. * Drive platform modernization and optimization initiatives to improve scalability, stability, cost efficiency, performance, automation, and reduction of technical debt while evaluating operationally appropriate tools and technologies. * Serve as the primary operational liaison across business and technical stakeholders, collaborating with analytics, BI, architecture, security, infrastructure, and IT operations teams on platform support, upgrades, monitoring, capacity planning, and operationalizing approved designs. * Provide strong people and resource leadership by aligning teams, budgets, and priorities; promoting accountability, learning, diversity, inclusion, and bilingualism; and delivering outcomes such as stable and scalable data platforms, improved data quality and availability, reduced incidents, faster recovery times, and higher operational maturity. What you should have: * An undergraduate degree in Computer Science, Engineering, or a related field. An equivalent combination of education and/or experience be considered. * A minimum of 10 years of experience in data engineering, data platform operations, or data services delivery. * A proven experience leading and managing data engineering teams. * A strong background in operating large-scale data platforms supporting analytics and reporting. * An experience managing production data environments with high availability and reliability expectations. * A strong understanding of: Data ingestion and integration patterns, ETL / ELT pipelines, Batch and near-real-time data processing, Data warehousing and analytics platforms. * An experience with: Monitoring, alerting, and operational support of data platforms, CI/CD, version control, and release management for data solutions, Performance tuning and optimization of large datasets. * A solid knowledge of data quality, lineage, and operational controls. Technology: * Data platform: Azure Data Factory, Azure Databricks with Unity Catalog, Azure Data Lake Storage (ADLS), Azure SQL. * Programming: Python with PySpark, SQL, Azure DevOps. * Products: SAS Enterprise Grid (EG), Informatica Data Quality, Collibra. It would be great if you also had: * A demonstrated ability to lead, coach, and develop senior technical professionals. * A strong operational mindset with a focus on reliability, resilience, and accountability. * The ability to translate complex technical issues into clear operational impacts and decisions. * An effective communicator with both technical and non-technical stakeholders. * Comfortable operating in a regulated, risk-aware environment. Posting closing date: Note, the competition will remain active until filled. Our commitment to diversity, equity, and inclusion We’re committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from non-Canadians who are eligible to work in Canada. CMHC is an inclusive workplace where diversity of thought – and of people – are recognized, valued, and considered essential to achieving our mission. Learn more about our commitment to diversity and inclusion [https://assets.cmhc-schl.gc.ca/sites/cmhc/working-at-cmhc/pdf/diversity-inclusion-framework-en.pdf] What happens after you apply We know that applying for a new job can be both exciting and daunting, and we appreciate your effort. Learn more about our hiring process [https://www.cmhc-schl.gc.ca/working-at-cmhc]. If you are selected for an interview or testing, please advise us if you require an accommodation. If you applied before and you were not successful don’t worry – we're always posting new positions, so don’t hesitate to give it another shot. We’re excited to see what you bring to the table this time around!

Ce que vous ferez

The Senior Manager of Data Operations is responsible for the end-to-end management, reliability, and evolution of enterprise data platforms and engineering capabilities. This role provides functional leadership to data engineering teams to ensure stable, scalable, and secure data ecosystems that support organizational analytics and decision-making.

Exigences

Candidates must possess an undergraduate degree in Computer Science, Engineering, or a related field and at least 10 years of experience in data engineering or platform operations. Proven experience in leading data engineering teams and managing large-scale, high-availability production data environments is required.

Avantages

• Annual paid vacation • Annual individual performance incentive • Defined benefit pension plan • Comprehensive group insurance plan • Training and mentorship

Compétences indiquées

• SQL · Souhaitée
• Incident Management · Souhaitée
• Leadership · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data engineering
• Data platform operations
• Azure Data Factory
• Azure Databricks
• Python
• PySpark
• SQL
• Azure DevOps
• ETL/ELT
• Data warehousing
• Performance tuning
• Data quality management
• Leadership
• Incident management
• Strategic planning
• Operational governance
• Employment Equity
• Business Intelligence Architecture
• Informatica
• Workplace Inclusivity
• Pipelines
• Azure Data Lake
• Risk Awareness
• Technical Issues
• CI/CD
• Accountability
• DataOps
• Collibra (Software)
• Resilience
• Technology Ecosystems
• Data-Driven Decision Making
• Infrastructure Security
• Budgeting
• Automation
• Microsoft Azure
• Multilingualism
• Business Continuity
• Management
• IT Capacity Management
• Change Management
• Version Control
• Computer Science
• Continuous Improvement Process
• Data Engineering
• Data Governance
• Data Integrity
• Extract Transform Load (ETL)
• Data Quality
• Data Warehousing
• DevOps

Domaines d’emploi

• Data & Analytics
• Management & Leadership
• Technology
• Software
• Government & Public Sector
• Data Operations Manager
• Data Manager
• Database Designers and Administrators
• Database Architects