Director, Data Solutions Architect

Brookfield Asset Management•Toronto, ON

5d•Onsite

About The Position

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.

Requirements

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.
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.

Nice To Haves

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.

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.