Director Data - Toronto, Canada - City of Toronto

City of Toronto

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Job ID: 44990

Job Category:
Information & Technology

Division & Section:
Technology Services, Office of the Chief Technology Officer

Work Location:
METRO HALL, 55 John St, Toronto, M5V 3C6

Job Type & Duration:
Full-time, Permanent Vacancy

Salary:
$160, $200, Range), TM5331 and wage grade 10.0.

Shift Information:
Monday to Friday, 35 hours per week

Affiliation:
Non-Union

Number of Positions Open: 1

Posting Period: 22-FEB-2024 to 07-MAR-2024

The City of Toronto is the fourth largest city in North America and the fourth largest government in Canada, with a highly diverse and multicultural population.

In addition, the City of Toronto has several agencies and corporations including the Toronto Police Service, Toronto Public Library, and the Toronto Transit Commission, which make up the broader municipal organization.

Consistently ranked one of the world's most livable cities, Toronto is home to more than 2.9 million people whose diversity and experiences make this great city Canada's leading economic engine and one of the world's most diverse and livable cities.

Toronto is a global leader in technology, finance, film, music, culture and innovation, and consistently places at the top of international rankings due to investments championed by its government, residents and businesses.

In its pursuit of modernizing City services through strategic investment, digital transformation, and a culture of innovation, the Technology Services Division collaborates with all City Divisions, agencies, boards and corporations to deliver client centric business solutions and secure, reliable IT infrastructure.

Embarking on a transformative journey, the Technology Services Division is reshaping its culture and service delivery approach, focusing on four key priorities:

Build Resilient Foundations: Establish a robust, reliable, and secure technology infrastructure.
Deliver User-

Centric Solutions:
Provide enterprise-grade modern solutions with a focus on user experience.

Harness Data Power: Utilize data to drive operational processes and informed decisionmaking Citywide.
Empower Stakeholders: Engage and empower stakeholders to foster a culture of agility and innovation.

In this newly created role, as the Director of Enterprise Data & Artificial Intelligence you will develop and oversee the strategic use of data, intelligent automation and AI within the City of Toronto with the goal of service delivery and operational excellence.

Responsibilities include developing and leading enterprise wide data strategies, intelligent automation and AI projects, ensuring data privacy compliance, and fostering innovation.

Leadership, technical expertise, design thinking principles and a deep understanding of enterprise business goals are critical in this role.

Specifically, you will provide leadership in the areas of:
Strategic Planning and Delivery of Enterprise Data, Intelligent automation and AI Technologies:

Develop a comprehensive enterprise data strategy, architecture and roadmap to harness City wide data to deliver on business outcomes.
Establish intelligent automation and artificial intelligence strategies and roadmap aligned with organizational goals and divisional business needs, including business and technical architecture roadmaps best practices, and enterprise platforms to deliver citywide capabilities.
Provide leadership in the selection of tools and technologies to implement common frameworks and platforms, business and technical roadmaps, technology standards and a common service delivery model based on industry best practices and fit within an enterprise grade municipality.
Strategize, develop, and execute scalable solutions by overseeing the collaboration between technology and business teams. Spearhead the development of proof of concepts, ensuring seamless integration of cuttingedge technology with business objectives. Implement a streamlined delivery pipeline to efficiently transition use cases from development to production, leveraging agile methodologies for rapid iteration and adaptation.
Participate in government agencies and private sector forums developing key relationships to leverage strategies, standards and policies, and development frameworks based on industry best practices and consistency.
Collaborate with policy team to implement robust data governance frameworks ensuring data quality, privacy, and compliance with MFIPPA, PHIPPA, and other legislative requirements. Attends Council and Standing Committees as a key contributor to the strategy, technology and standardization of data and AI capabilities across the organization

Talent and Capacity Building

Attract and evolve talent in the data and AI team including technical leads, data scientists, engineers and platform implementation specialists.
Foster a culture of innovation, staying current with emerging technologies and promoting their integration when