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Director, Data Solutions Architect

Brookfield Asset Management Open · verified Oct 24, 2026
Toronto Full-time Director Data Leadership

At a glance

Director-level Data Leadership role at Brookfield Asset Management. Toronto · full-time · CA$150,000–CA$185,000 base.

SalaryStated by Brookfield Asset Management
CA$150,000 – CA$185,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from Brookfield Asset ManagementOur estimate for the market: CA$167,500–CA$175,000Median CA$167,500
The range includes the market median of CA$167,500 for lead data leadership roles in Toronto.
Worked out from 5 postings that stated pay, median CA$167,500. Last updated Oct 17, 2026.
RoleData Leadership
SeniorityDirector
LocationToronto
EmploymentFull-time
Base payCA$150,000–CA$185,000
PostedJul 16, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn business priorities and product requirements into data architecture plans covering systems, integration, storage, use and controls
  • Set architecture patterns and data flows for reporting, operational and AI use cases across business functions
  • Compare design choices, dependencies and delivery risks to help shape priorities and roadmaps
  • Check proposed designs and delivery plans against enterprise standards, product goals and business outcomes
  • Guide engineering teams through delivery and keep designs secure, resilient, scalable and governed

What you bring

  • At least ten years in data, solution or enterprise architecture, or a related technology role
  • A track record designing end-to-end data solutions in complex enterprise settings
  • Experience gathering needs from business stakeholders, defining future-state designs and supporting delivery
  • Background in financial services, asset management or another regulated, complex industry
  • Strong grounding in enterprise data platforms, integration, reporting, governance and security

Who this fits

This director-level role suits an experienced architect who can turn business needs into practical designs and guide engineering teams. You’ll work across business, product, architecture, engineering and governance groups, including global teams. The position is based at Brookfield Place in Toronto.

From the employer

Location

Brookfield Place - 181 Bay Street

Technology Services

Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.


Job Description

Role Summary

Leads the design of business-aligned data solutions that translate strategic priorities and product needs into scalable, governed architecture patterns. This role partners closely with business, product, engineering, and architecture stakeholders to assess requirements, define end-to-end solution designs, and ensure data capabilities support operational, analytical, and AI use cases. The role is accountable for connecting business intent to practical architecture decisions while maintaining alignment with enterprise standards, controls, and platform strategy.

Key Responsibilities

  • Assess business priorities, product requirements, and data needs to define solution architecture approaches.

  • Translate business use cases into end-to-end data solution designs spanning source systems, integration, storage, consumption, and controls.

  • Partner with product owners, business stakeholders, data architects, and engineering teams to align solution designs to enterprise standards and delivery priorities.

  • Define target-state architecture patterns, integration approaches, and data flows for reporting, operational, and AI-enabled use cases.

  • Lead architecture decisions for new initiatives, enhancements, and platform adoption across business functions.

  • Ensure solution designs address scalability, resiliency, security, data quality, and governance requirements.

  • Support prioritization and roadmap planning by evaluating design options, dependencies, trade-offs, and implementation feasibility.

  • Review proposed solutions and delivery plans to ensure alignment with enterprise architecture, product intent, and business outcomes.

  • Drive consistency in solution design practices, documentation standards, and architecture governance across regions and teams.

  • Provide technical leadership and guidance to engineering teams during delivery to ensure architectural integrity.

Required Experience

  • 10+ years of experience in data, solution architecture, enterprise architecture, or related technology roles.

  • Experience designing end-to-end data solutions in complex enterprise environments.

  • Experience working with business stakeholders to assess requirements, define target-state solutions, and support delivery execution.

  • Experience in financial services, asset management, or similarly regulated and complex industries.

  • Experience with enterprise data platforms, integration patterns, reporting ecosystems, and governed data environments.

Skills & Qualifications

  • Technical knowledge and systems expertise: Strong understanding of enterprise data architecture, integration patterns, data platforms, reporting ecosystems, and the architecture foundations required to support analytics, AI, and operational use cases.

  • Analytical and problem-solving skills: Ability to assess business needs, evaluate design options, and translate complex requirements into scalable and governed solution architectures.

  • Communication and collaboration capabilities: Strong executive communication, stakeholder management, and cross-functional influence skills, with the ability to connect business intent to technical design decisions.

  • Ability to work in cross-functional or global teams: Experience operating across global teams and coordinating with business, product, architecture, engineering, and governance stakeholders.

  • Understanding of technology governance, security, or operational practices: Strong understanding of data governance, security, risk management, compliance, and operational standards, with experience embedding them into solution design.

Preferred Qualifications

  • Experience supporting cloud-based data modernization initiatives and enterprise platform transformations.

  • Experience designing data solutions that support self-service analytics, advanced analytics, or AI-enabled use cases.

  • Familiarity with asset management, investment, portfolio, finance, or operational data domains.

  • Experience establishing reusable architecture patterns, reference designs, and solution governance practices.

Salary Range: $150,000 - $185,000 CAD

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it. Accordingly, we do not tolerate workplace discrimination, violence or harassment.

Brookfield is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act. Should you require a Human Rights Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs.
Opportunity

Data Leadership work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Leadership

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Leadership work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.