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About the Role

The AIOS Platform Executive owns the strategic direction of Zafin's AI Operating System (AIOS), the AI-native platform on which client engagements are delivered. This role sets platform strategy, chairs AI platform governance, and serves as the primary executive advisor to client and Zafin leadership on AI platform maturity, adoption, and expansion. The Platform Strategy Lead ensures architectural and governance consistency across all AI agent delivery and drives adoption of the agentic AI operating model across the organization. The role owns the Discover, Design, Build, Embed, and Expand delivery journey at the strategic level, ensuring every AI initiative builds durable, reusable platform capability. The Platform Strategy Lead sets the cadence of operating model reviews and expansion planning, and directs the progressive transfer of AI delivery capability from Zafin ownership to full client ownership, grounded in Zafin's own AI transformation. Every engagement is expected to leave client teams with more trustworthy, reusable AI capability than it started with. As the senior leader accountable for AIOS platform strategy and adoption, this position provides strategic direction across multiple teams without direct authority over delivery leadership. Success is achieved through executive influence, governance, organizational alignment, and the development of platform leadership capability across the organization.

Responsibilities

Own the strategic direction, adoption roadmap, and governance framework for Zafin’s AIOS across every team, also known as Functional Delivery Unit (FDU) and client engagement.
Chair AI platform governance forums and resolve cross-squad architecture and prioritization decisions.
Serve as the primary executive advisor to client sponsors and Zafin leadership on AI platform maturity, adoption, long-term platform strategy, and growth.
Own the enterprise-wide Discover, Design, Build, Embed, and Expand AI delivery journey, ensuring each initiative compounds into reusable agent and platform capability.
Direct the progressive capability transfer plan for each engagement, moving delivery ownership from Zafin-led to fully client-owned, self-sustaining AI engineering capability.
Maintain consistency across Platform Enablement, Client-Facing teams (FDUs), and Agent Operations squads by establishing governance standards, resuable operating practices, and common platform principles, to ensure one platform standard and maximum reuse of AI capability.
Chair the quarterly operating model review and expansion planning cadence, and own the platform's AI maturity roadmap.
Lead executive-level client discussions that convert initial AI agent deployments into enterprise-wide AI transformation programs.
Partner with the Knowledge & Governance function to ensure the AI platform remains trustworthy, auditable, and compliant in regulated banking environments.
Set and monitor platform operating metrics across business outcomes, DORA outcomes, AI agent delivery flow, AI agent quality and risk, and AI agent operations and economics.
Sponsor continuous growth of the reusable AI agent, knowledge, and platform capability library.
Direct scaling priorities that take an AI initiative from initial deployment to enterprise-wide capability: standardized intake, defined AI operating metrics, expanded use cases, reusable patterns and playbooks, and investment in workforce capability and change management.
Act as the executive decision point for architecture, delivery, or governance conflicts that cannot be resolved at the squad level; while balancing client outcomes, platform health and enterprise priorities.
Develop, coach, and mentor leaders and team members to build organizational capability, succession strength, and leadership consistency across these teams.
Communicate platform strategy, adoption progress, risks to executive stakeholders through governance forums and strategic business reviews.
Influence Product and Engineering roadmaps by identifying recurring client needs, adoption barriers, and enterprise platform investment opportunities.
Prioritize enterprise platform initiatives across competing client, business, and technology demands to maximize long-term value.

Requirements

15+ years of experience in enterprise technology delivery, including senior leadership or executive client-facing roles.
Deep understanding of agentic AI platforms, AI agent orchestration, and enterprise-scale AI delivery models.
Demonstrated experience setting enterprise including technology strategy, governance frameworks, and platform operating models across multiple teams or client accounts.
Strong understanding of the banking and financial services technology landscape.
Executive-level consulting or client-partnership experience, with accountability for strategic business outcomes across multiple portfolios.
Experience influence enterprise technology strategy across multiple organizations without direct management authority.
Experience operating at the intersection of AI platform architecture, governance, and enterprise growth strategy.
Familiarity with engineering performance frameworks (including DORA metrics) and their extension to agent-driven delivery.
Understanding of how to structure a multi-phase AI transformation program, from initial deployment to self-sustaining client ownership.
Experience leading multiple-disciplinary teams or organizations through senior leaders.
Experience scaling an AI, automation, or platform business line within a financial services or enterprise software company.
Experience leading a large-scale operating model transformation involving AI or automation, not solely a technology deployment.
Experience building enterprise governance models, resuable operating frameworks, or platform adoption strategies across multiple business units.

Skills

AI platform strategy
AI platform governance
AI platform maturity
AI platform adoption
AI platform expansion
Architectural consistency
Governance consistency
Agent orchestration
Enterprise-scale AI delivery
Technology strategy
Governance frameworks
Platform operating models
Banking and financial services technology
Executive-level consulting
Client-partnership
Strategic business outcomes
Enterprise technology strategy
AI platform architecture
Enterprise growth strategy
Engineering performance frameworks
DORA metrics
AI agent-driven delivery
AI transformation program
Client ownership
Self-sustaining AI engineering capability
Platform Enablement
Client-Facing teams
Agent Operations
Governance standards
Operating practices
Platform principles
Operating model review
Expansion planning
AI maturity roadmap
AI agent deployments
Enterprise-wide AI transformation
Knowledge & Governance
Trustworthy AI
Auditable AI
Compliant AI
Business outcomes
AI agent delivery flow
AI agent quality
AI agent risk
AI agent operations
AI agent economics
Reusable AI agent capability
Reusable knowledge capability
Reusable platform capability library
Standardized intake
Defined AI operating metrics
Expanded use cases
Reusable patterns
Reusable playbooks
Workforce capability
Change management
Architecture conflicts
Delivery conflicts
Governance conflicts
Client outcomes
Platform health
Enterprise priorities
Leadership development
Coaching
Mentoring
Organizational capability
Succession strength
Leadership consistency
Platform strategy communication
Adoption progress communication
Risk communication
Governance forums
Strategic business reviews
Product roadmaps
Engineering roadmaps
Recurring client needs
Adoption barriers
Enterprise platform investment opportunities
Enterprise platform initiatives prioritization
Long-term value maximization

Location

Toronto, Canada

Work Type

Hybrid

Experience Level

Senior leadership
Executive client-facing roles
15+ years of experience

Education Level

Degree in Comp Sci, Comp Eng, Engineering, Business, or other related field, or equivalent experience.

Benefits

Competitive salaries
Annual bonus potential
Generous paid time off
Paid volunteering days
Wellness benefits
Robust opportunities for professional growth and career advancement

About the Company

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered.
Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise environments.
Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific.
As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.

Equal Opportunity

Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin’s privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice.