Senior Manager Data Enablement

City of Vancouver; Vancouver; Hybrid; CAD 121,000 - 161,000; Full time

Job summary

An established industry player is seeking a Senior Manager of Data Enablement to lead the development of a cloud-based data management solution. This role involves overseeing data architecture, managing a diverse team, and implementing innovative strategies for data science and machine learning. You'll play a pivotal role in enhancing data governance and ensuring compliance across the city's data ecosystem. Join a forward-thinking organization that values sustainability and equity, where your leadership and expertise will drive meaningful change and empower communities. If you're passionate about data and technology, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in data management and data warehousing.
• 5+ years of experience managing a team.

Responsibilities

• Oversees data engineering and solution architecture strategies.
• Manages deployment of machine learning models and algorithms.
• Creates a data science, machine learning, and AI lab.

Skills

Data Management

Data Science

Machine Learning

Data Governance

Cloud Infrastructure

Leadership

Communication

Problem Solving

Education

Bachelor's degree in Computer Science

Master’s degree in Data Science

Tools

Azure

DataOps

DevOps

Job description

Senior Manager Data Enablement

Requisition ID:43929

Organization
Located on the traditional, ancestral and unceded lands of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Peoples, Vancouver has a commitment to becoming a City of Reconciliation. Vancouver consistently ranks as one of the world’s most liveable and environmentally sustainable cities. Named among Canada's Top 100 Employers, BC's Top Employers, and Canada's Greenest Employers, the City of Vancouver seeks colleagues who can help shape and embody our core commitments to sustainability, reconciliation, equity and outstanding quality of life for all residents.

Consider joining our committed team of staff and being part of an innovative, inclusive and engaging workplace. Working at the City of Vancouver and within the public service can be a rewarding career where you play a key role in ensuring impartial and equitable access to services, upholding ethical governance, and addressing the needs of citizens with integrity and dedication.

Main Purpose and Function
The Manager, Data Enablement is responsible and accountable for the delivery and ongoing management of a new cloud-based data management solution which provides cleansed, organized, curated, and consumable data across all City of Vancouver data domains.

The Manager is also responsible for supporting the Technology Leadership Team (TLT) in executing strategic initiatives such as the implementation and ongoing management of an Innovation Lab which will explore the use of ML/AI and Data Science, implementation and ongoing management of a full Integrated Data Platform, Master Data Management and Data Integration Services.

Key Contacts and Reporting Relationships
The position reports to Director, Enterprise Data and Analytics and directs both operational and project teams of technically diverse staff comprising of union and exempt staff e.g. systems analysts, programmer analysts, data engineers, consultants and contractors, which include both capital and operational funded positions. Other key contacts include members of the Technology Leadership Team, Project Managers, Enterprise Architects, Database Administrators, Analytics Enablement Leadership and staff, and other technical staff and managers in Technology Services.

This position also works very closely with all other City divisions and departments such as Infrastructure and Operations, Enterprise Applications & Integration, and Engineering Services.

Expected to build collaborative relationships with vendors and counterparts in other organizations.

Specific Duties/Responsibilities
Data Engineering and Solution Architecture:

• Oversees the development and implementation of data engineering and solution architecture strategies for the City of Vancouver.
• Develops and manages the ongoing technical strategy, capability framework, for Data Architecture in partnership with the Enterprise Architecture team.
• Designs, implements, and manages the data architecture and management of the City's data ecosystem, ensuring that all data and technology systems are up-to-date, secure, and in compliance with relevant regulations.
• Develops, implements, and manages data governance technology that supports the processes and procedures managed by the Analytics Enablement team.
• Identifies opportunities to leverage data to drive value and work with Analytics Enablement and City Departments to implement these strategies.
• Develops and implements strategies to improve ongoing data quality and accuracy using technical solutions.
• Identifies and evaluates new data engineering and solution architecture technologies that can be used to drive value for the City.
• Communicates with stakeholders at all levels of the organization regarding data engineering and solution architecture initiatives.

Data Enablement Technology

• Ensures the integrated data platform can effectively execute on data management processes such as integration, orchestration, transformation, data modeling, data layer security, and object oriented security.
• Develops and maintains data pipelines and data warehouses.
• Ensures that all data and technology systems are up to date, secure and in compliance with relevant regulations.
• Manages the deployment of machine learning models and algorithms.
• Identifies and evaluates new data enablement technologies that can be used to drive value for the City.
• Ensures that all data and technology systems are up-to-date, secure, and in compliance with relevant regulations.
• Communicates with stakeholders at all levels of the organization regarding data enablement technology initiatives.

Data Science, Machine Learning, and AI Lab

• Creates a data science, machine learning, and AI lab in our environment.
• Works with data scientists and machine learning engineers to develop, test, and deploy models and algorithms.
• Identifies and evaluate new data science, machine learning, and AI technologies that can be used to drive value for the City.
• Collaborates with departments to identify opportunities to leverage data science, machine learning, and AI to drive value for the City.

Management and Leadership

• Manages a team of five resources.
• Manages the recruitment process and facilitate new employee onboarding.
• Oversees performance management and provide coaching and feedback to support employee growth.
• Maintains effective communication with employees and address any performance or conduct issues in a timely and professional manner.
• Provides leadership, guidance, and mentoring to team members, fostering and supporting their professional development and guiding their career planning conversations to set them up for success.

Other duties as assigned.

Minimum Qualification Requirements
Education and Experience:

• Bachelor's degree in Computer Science, Engineering, Data Science, or an equivalent combination of education, training and experience.
• 10+ years of experience in data management, data warehousing, or related field.
• 5+ years of experience managing a team.
• Master’s degree in Data Science and/or Mathematics would be considered an asset.
• Experience with cloud-based infrastructure and related technology such as Azure.
• Experience with data integration, orchestration, transformation, data modeling, data layer security, object oriented security models and integration with Azure AD.
• Experience with data science, machine learning, and AI technologies.
• Experience with data architecture and strategic solutions with awareness of best practices associated with data lakes, data warehousing and data hubs.
• Experience with DataOps or DevOps methodologies
• Experience in strategic technology planning and execution.

Knowledge, Skills, and Abilities:

• Knowledge of data management, data science, and data security.
• Knowledge of industry best practices and trends in data enablement
• Knowledge of DevOps delivery models and their implementation for data and analytics (DataOps).
• Strong leadership and communication skills both written and verbal.
• Ability to create a fair and equitable environment.
• Ability to lead teams and deliver solutions.
• Ability to problem-solve and to understand new business models and domains.
• Ability to influence others effectively and positively in a team-oriented, collaborative environment.
• Ability to manage multiple projects and priorities.
• Ability to foster and support professional development of team members and guide career planning conversations to set them up for success.
• Ability to create collaboration amongst component teams and motivate towards a common goal.
• Ability to work under pressure and manage multiple priorities with a keen sense of accountability and commitment to end-user advocacy.
• Ability to establish and maintain effective working relationships with a variety of internal and external contacts and team members to provide advice, information, and assistance.
• Ability to translate among the languages used by executive, business, IT, and stakeholders.

Where operationally appropriate and subject to change, the City of Vancouver has a Flexible Work Program. This program allows staff to work a hybrid work week from locations that are a daily commutable distance from their work at a City worksite. At this time this position is eligible to be part of the Flexible Work Program.

Business Unit/Department:IT, Digital Strategy & 311 (1070)

Affiliation:Senior Exempt

Employment Type:Regular Full Time

Position Start Date:July 2025

Salary Information: Pay Grade RNG-111: $121960to $160467per annum

Application Close: June 1, 2025

At the City of Vancouver, we are committed to recruiting a diverse workforce that represents the community we so proudly serve. Indigenous peoples, people of colour, 2SLGBTQ+ persons including all gendersand persons with disabilities are encouraged to apply.Accommodations will be provided upon request during the selection process. Learn more aboutour commitment to diversity and inclusion.

Before you click Apply now

Once you start your application you can save your work and leave the applications page, however please remember to submit your profile to the specific job requisition before the posting closing date.

In addition to uploading your cover letter and resume, part of the application process may include answering application questions related to the preferred requirements of the role which may take approx. 5-10 minutes. Cover letters should express interest and highlight additional information relevant to the position and resumes should include a summary of skills and experience related to the position.

Apply here