Senior Director, AI Enablement & Platforms
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Job Summary
Join a Challenger
At EQ were remaking banking so every Canadian gets ahead every day. Serving nearly 4 million Canadians from coast to coast we offer a wide variety of financial services from banking and lending to trust and credit union solutions.
Weve been at this since 1970 challenging the conventions of traditional banking with smarter faster and more connected financial experiences.
Whats kept us moving The people behind it all: challengers who ask better questions push back on old assumptions and look for a better way forward.
If youre driven to help reshape how banking works for Canadians and the businesses that power our economy this could be your next big opportunity.
We cant wait to get to know you!
The Senior Director AI Enablement & Platforms is a senior enterprise leader within the Enterprise AI team accountable for making approved AI capabilities accessible governed reliable supportable and adoptable at scale across EQB. The role leads enterprise AI enablement and adoption and provides stewardship of the platforms and operating services that underpin a trusted employee and developer experience.
The role sets the strategy and operating model for AI platform onboarding access service management support reliability observability lifecycle management vendor coordination and cost transparency. It partners with Data & AI Governance AI Engineering AI Architecture Cybersecurity Risk Privacy Legal Infrastructure and business teams to scale AI responsibly and securely without duplicating their accountabilities.
The role leads the Manager AI Platform Operations and Manager AI Enablement combining operational excellence with workforce readiness learning pathways reusable enablement patterns communities of practice communications and stakeholder engagement. Success is measured through responsible adoption service health user experience control effectiveness productivity and demonstrable business valuenot through hands-on solution engineering or innovation-lab delivery.
- Lead the enterprise AI enablement strategy and roadmap translating EQB priorities into practical adoption readiness and change plans for employees developers and leaders.
- Establish scalable learning pathways role-based guidance reusable enablement patterns communities of practice champion networks communications and engagement mechanisms that build AI fluency and responsible use.
- Partner with business and Technology leaders to identify adoption barriers prepare teams for new AI-enabled ways of working and embed approved capabilities into day-to-day workflows.
- Define the end-to-end enablement experience - from discovery and intake through onboarding learning support adoption and continuous improvement - using user feedback and service data to improve outcomes.
- Measure adoption quality user experience productivity and value realization; distinguish meaningful sustained use from access or activity alone and provide transparent reporting to senior stakeholders.
- Own enterprise stewardship and the service operating model for EQBs evolving portfolio of approved AI platforms and tools including productivity copilots developer copilots cloud AI services agentic AI frameworks and approved commercial solutions.
- Set platform roadmaps and service expectations in partnership with AI Architecture and AI Engineering balancing enterprise reuse user needs resilience security control requirements vendor direction and total cost of ownership.
- Oversee platform onboarding environment readiness identity and access processes service catalogue entries support pathways incident and problem management change and release coordination knowledge management capacity and continuity planning.
- Establish operational telemetry observability service-health reporting and escalation practices covering availability performance usage cost reliability and - in partnership with accountable teams - quality and safety signals for production AI services.
- Lead platform and tool lifecycle management including intake fit-for-purpose assessment onboarding readiness controlled change rationalization renewal coordination and retirement while maintaining clear ownership and supportability.
- Coordinate AI-focused vendor relationships service reviews licensing and consumption management and platform FinOps. Partner with Procurement Finance and third-party risk functions where their formal accountabilities apply.
- Maintain sufficient breadth across platforms such as Microsoft 365 Copilot Microsoft Foundry GitHub Copilot Google Cloud AI services approved third-party tools and agentic frameworks to lead specialists and keep the portfolio current without creating a fixed product inventory.
- Embed governance security privacy legal risk and architecture requirements into platform onboarding access service operations and enablement journeys in partnership with the accountable control and assurance functions.
- Operationalize approved responsible AI requirements and platform controls; maintain evidence service documentation runbooks inventories and issue-management practices needed for effective oversight and auditability.
- Ensure new or materially changed platforms and tools follow applicable review approval and lifecycle processes before enterprise use; escalate unresolved risk service or ownership issues through the appropriate forums.
- Coordinate production-readiness expectations for AI services - including monitoring support rollback continuity cost visibility and human-oversight needs - without assuming ownership for solution engineering architecture approval or governance policy.
- Lead an integrated operating rhythm across AI Enablement & Platforms AI Engineering AI Architecture and Data & AI Governance with clear decision rights hand-offs service expectations prioritization and escalation paths.
- AI Enablement & Platforms owns platform stewardship operations access adoption readiness support and the enablement experience.
- AI Engineering owns the engineering and delivery of reusable AI capabilities solutions agents and implementation patterns.
- AI Architecture owns target-state architecture standards technology direction and architectural assurance.
- Data & AI Governance owns governance frameworks policies controls oversight and responsible AI requirements.
- Partner with business and Technology leads across EQBs lines of business and corporate functions so domain priorities adoption needs and value outcomes inform enterprise platform and enablement roadmaps.
- Influence enterprise priorities and investment choices through evidence on demand operational health adoption risk cost duplication and realized value.
- Relevant post-secondary education in technology business engineering data/AI or a related field.
- 10-15 years experience with significant progressive leadership experience in enterprise technology AI digital platforms service management enablement or transformation including experience leading leaders and influencing senior executives in a complex matrix organization.
- Demonstrated experience establishing or scaling enterprise platforms and services with practical knowledge of onboarding access support models reliability observability incident/problem management lifecycle management vendor coordination and cost management.
- Strong understanding of generative and agentic AI enterprise copilots cloud AI platforms AI service management model and tool lifecycle considerations and the operational implications of moving AI capabilities into sustained use.
- Experience driving enterprise adoption through change management communications learning pathways communities of practice stakeholder engagement and measurable user outcomes.
- Working knowledge of responsible AI cybersecurity privacy third-party risk technology risk regulatory expectations and control environments relevant to a Canadian financial institution.
- Proven ability to define operating models clarify decision rights build cross-functional partnerships and manage outcomes across architecture engineering governance infrastructure risk and business teams.
- Commercial and financial acumen to guide vendor relationships licensing consumption platform FinOps prioritization and value-realization decisions.
- Strong executive communication judgment and analytical skills with the ability to translate complex platform risk and adoption issues into clear choices and actions.
- Sufficient technical fluency to set direction challenge recommendations and lead specialists; hands-on software or model engineering expertise is not required.
- Core Competencies
- Enterprise leadership and influence aligns diverse stakeholders around clear outcomes decisions and accountabilities.
- Enablement mindset removes friction and equips people to use approved AI capabilities confidently safely and effectively.
- Platform stewardship and operational excellence treats AI platforms as enduring enterprise services with disciplined reliability supportability and lifecycle management.
- Responsible judgment balances speed value customer and employee experience security privacy risk and regulatory obligations.
- Strategic and systems thinking connects platform operating-model talent governance and adoption choices across the enterprise.
- Value orientation uses evidence to prioritize rationalize investment and demonstrate productivity operational and business outcomes.
- Clear communication and stakeholder empathy makes complex issues understandable listens actively and builds trust across technical and non-technical audiences.
- Learning agility and humility remains current as AI markets and tools evolve invites challenge and adjusts direction when evidence changes.
- Accountability and urgency acts decisively escalates transparently and follows through on commitments without compromising controls.
Equity Diversity & Inclusion
EQ is committed to building an inclusive accessible environment where every employee feels valued respected and supported. We believe our organization is stronger and our people thrive when we honour and celebrate diverse experiences identities and perspectives. Were equally committed to supporting your growth both professionally and personally.
We provide a barrierfree recruitment process and work environment. If you require accommodations at any stage we will work with you to ensure you can bring your best self to the process and beyond.
As part of our recruitment process EQ uses AI to help screen assess and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.
EQB Inc. (TSX: EQB) is the parent company of Equitable Bank the countrys seventh-largest Schedule I bank by assets which operates EQ Bank Canadas Challenger Bank. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.
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About Company
At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any unique circumstance.
