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Data Intelligence Manager Jobs in Ontario (NOW HIRING)

EnStream LP

Director, Sales

Toronto, ON · On-site

Market Intelligence and Strategy * Stay informed on market trends, customer needs, and competitor ... Maintain accurate CRM (Salesforce) data, pipeline forecasts, and account plans. * Present regular ...

TELUS

Manager, Data & AI Transformations

Toronto, ON · On-site

CA$109K - CA$155K/yr

Our team - SMB Business Intelligence team is seeking Manager-Data & AI Transformations, with a focus on Customer data and automation.. This role requires a passion for developing data strategies ...

TELUS

Manager, Data & AI Transformations

Toronto, ON · Hybrid

$109K - $155K/yr

Our team - SMB Business Intelligence team is seeking Manager-Data & AI Transformations, with a focus on Customer data and automation.. This role requires a passion for developing data strategies ...

Scotiabank

Manager, Data Engineering

Toronto, ON · On-site

The Manager, Data Engineering is responsible for the management of Automotive Finance (AF) Data ... Provides recommendations to the Senior Manager, Business Intelligence and Information Systems on ...

Teradata

By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our ... Project management expertise to handle multiple concurrent initiatives * Research proficiency using ...

JD.com, Inc.

Warehouse Manager

Toronto, ON

CA$80K - CA$110K/yr

Built on deep expertise in automation, smart fulfilment, and data intelligence, we operate end-to ... Our integrated networks span warehouse management, line-haul transportation, last-mile delivery ...

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All JobsData Intelligence JobsData Intelligence Manager JobsData Intelligence Manager Jobs in Ontario

Data Intelligence Manager information

What are the key skills and qualifications needed to thrive as a Data Intelligence Manager?

To thrive as a Data Intelligence Manager, you need expertise in data analytics, business intelligence, and data management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau or Power BI, data warehousing solutions, and certifications such as Certified Analytics Professional (CAP) are highly beneficial. Strong leadership, strategic thinking, and communication skills are essential for effectively guiding teams and translating complex data insights into actionable strategies. These skills ensure the effective transformation of raw data into valuable business insights, driving informed decision-making and organizational growth.

How does a Data Intelligence Manager typically collaborate with cross-functional teams within an organization?

A Data Intelligence Manager often works closely with teams such as IT, business operations, marketing, and product development to ensure that data-driven insights align with organizational goals. This role requires facilitating clear communication between data analysts, engineers, and non-technical stakeholders to translate complex data findings into actionable strategies. Regular meetings, project updates, and cross-department workshops are common, fostering a collaborative environment where data initiatives support business objectives. Building strong relationships across teams is essential for driving successful data intelligence projects.

What is the difference between Data Intelligence Manager vs Data Analyst?

AspectData Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentLeads teams, manages data strategies, collaborates with stakeholdersAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for strategic data rolesCommon across various industries for operational data analysis

The Data Intelligence Manager focuses on leading data strategies and managing teams, while the Data Analyst primarily analyzes data to support business decisions. Both roles require strong analytical skills and familiarity with data tools, but differ in scope and responsibilities.

What does a data intelligence manager do?

A data intelligence manager oversees the collection, analysis, and interpretation of data to support business decision-making. They develop data strategies, manage data teams, and use tools like SQL, data visualization software, and analytics platforms to turn data into actionable insights.

What cities in Ontario are hiring for Data Intelligence Manager jobs?

Cities in Ontario with the most Data Intelligence Manager job openings:

Insurance EPIC Systems & Automation Manager

Toronto, ON • On-site

Leap Recruitment Partners
See more jobs at Leap Recruitment Partnersexternal

Full-time

Re-posted 26 days ago

Job description

Job Description Location: Toronto, ON | Type: Full-Time Leap Recruitment Partners is proud to represent a premier, high-growth leader in the Canadian insurance brokerage sector. Our client is a forward-thinking organization dedicated to modernizing the insurance experience through technology and elite service. We are seeking a strategic Systems & Automation Lead to take full command of their Applied EPIC ecosystem and drive operational excellence.

The Role This is far more than a technical support position; it is a high-visibility, strategic leadership role. As the internal Subject Matter Expert (SME) for Applied EPIC, you will serve as the architect of the firm's operational infrastructure. Your mission is to move beyond maintenance and into the realm of true optimization-leveraging automation, data intelligence, and refined workflows to accelerate revenue growth and redefine the client journey.

Your Impact Operational Velocity: Drastically improve service delivery speeds by refining and automating core business processes. Strategic Automation: Eliminate repetitive manual tasks, allowing the team to focus on high-value client advisory. Data Empowerment: Convert raw system data into actionable intelligence that drives retention and identifies new sales opportunities.

Scalable Growth: Build the technological framework necessary to support a rapidly expanding book of business. Key Responsibilities Applied EPIC Ecosystem Management Act as the definitive internal authority on all Applied EPIC modules, configurations, and capabilities. Oversee system health, lead continuous optimization projects, and manage enhancements.

Workflow Engineering & Automation Conduct deep-dive audits of existing lifecycles, including new business acquisition, renewals, and policy servicing. Design and deploy sophisticated, standardized workflows within EPIC to maximize team productivity. Analytics & Business Intelligence Architect custom dashboards to monitor KPIs such as sales velocity, retention trends, and staff responsiveness.

Establish rigorous data entry standards to ensure the highest level of data integrity. Training & Talent Enablement Serve as the primary coach for the team, leading the onboarding process for new hires and providing continuous education for existing staff. Qualifications Required Experience: Expert-Level Mastery: Minimum of 3+ years of intensive, hands-on experience managing the Applied EPIC Broker Management System.

Technical Proficiency: Proven track record in configuring complex workflows, activities, and advanced reporting within EPIC. Industry Knowledge: A deep understanding of insurance brokerage operations (experience within Personal Lines is highly preferred). Preferred Skills: Experience operating within a high-volume, fast-paced brokerage environment.

Prior success managing system integrations and API-driven data transfers. Compensation & Benefits Base Salary: Negotiable Additional Compensation: This role includes a performance-based bonus on top of the base salary. Growth: The opportunity to hold a high-impact, influential position within a modern, scaling organization.

About Leap Recruitment Partners At Leap Recruitment Partners, we don't just connect talent - we build futures. We specialize in placing top-tier professionals across the insurance industry and beyond, partnering with organizations that value Accountability, Transparency, and long-term success. At Leap we are an Equal Opportunity and Affirmative Action Employer.

That means all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Leap will not tolerate any discrimination or harassment based on any of these characteristics. Leap encourages applicants of all ages.

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