Head of AI Enablement and Emerging Technology

What We do:
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of intelligence. It replaces fragmented legacy stacks with a modern, modular operating layer, connecting telcos, retailers, and OEMs into one flow across channels and markets. The result is less complexity, lower cost, and the speed to move ahead.
For 26 years, we’ve been passionate about helping the leading brands in telecom to grow by providing best-in-class software, services, and expertise that enables them to adapt and thrive. Our solutions power $17BN in sales annually, handling nearly 53 million invoices and more than 28 million activations, and are used by more than 370,000 telecom retail professionals across almost 1,000 clients. iQmetrix is a privately held software-as-a-service (SaaS) company with employees in Canada, the U.S., India, and Europe. For more information, please visit www.iqmetrix.com.
How We Do it: 
We are on a self-management journey. As we work to move away from the restrictions of hierarchy, teams are building collaborative peer-based networks where there are no bosses. Decisions are meant to be distributed to the people who are best able to make the decisions which means more freedom for individuals to contribute at their highest levels. We are purpose-driven, helping individuals connect to the meaning in their day-to-day work. Additionally, we are currently on the road to building a diverse and inclusive environment. Working at iQmetrix means always looking at ways to be better.
Reporting to: Founder & CEO 

About the Role 

We are seeking a Head of AI Enablement and Emerging Technology to lead enterprise-wide AI transformation across the organization. Reporting directly to the Founder & CEO, this role will shape how we integrate AI into our strategy, operating model, workforce design, and financial planning. 

This is not an IT infrastructure role. It is a cross-functional executive mandate focused on enabling responsible innovation, redesigning how we work in an AI-enabled environment, and ensuring measurable business impact. 

You will partner closely with ETS, Risk & Compliance, R&D, People & Culture, and Finance to embed AI into the core of how we operate and scale. 

Key Responsibilities 

Enterprise AI Strategy 

• Define and execute the company-wide AI and emerging technology strategy. 

• Align AI initiatives with corporate priorities and long-term growth objectives. 

• Serve as the executive sponsor for AI transformation initiatives. 

Organizational Design & Operating Model Evolution 

• Partner with the Lead of People & Culture, to redesign workflows, roles, and team structures in an AI-enabled organization. 

• Identify opportunities to increase speed, autonomy, and productivity through AI integration. 

• Support leadership in workforce planning and capacity modeling. 

Financial & Investment Alignment 

• Collaborate with Finance to build ROI models and investment frameworks for AI initiatives. 

• Prioritize initiatives based on measurable value creation. 

• Align AI transformation efforts with budget planning and capital allocation. 

Innovation & Implementation 

• Lead enterprise AI pilots and scaling initiatives. 

• Evaluate tools and platforms in partnership with ETS and Risk & Compliance. 

• Ensure responsible, secure deployment aligned to governance standards. 

Governance & Risk Partnership 

• Co-develop AI guardrails and approval frameworks. 

• Balance innovation with privacy, compliance, and security requirements. 

• Reduce shadow AI risk through structured enablement. 

Adoption & Cultural Enablement 

• Build executive and organizational AI literacy. 

• Develop internal playbooks and best practices. 

• Foster a culture of experimentation and continuous improvement. 

Qualifications 

• 10+ years in senior technology, innovation, or enterprise transformation leadership. 

• Demonstrated knowledge in leading AI implementation at scale. 

• Experience influencing operating model and organizational design decisions. 

• financial acumen with experience building investment cases. 

• Ability to inspire others and champion AI adoption 

• Deep understanding of AI plat1forms, automation, and emerging technology ecosystems. 

What Success Looks Like 

• AI strategy embedded into strategic planning. 

• Measurable productivity, revenue, or cost optimization gains. 

• AI integrated into workforce and operating model decisions. 

• Clear governance model with reduced risk exposure. 

• Metric of number of AI agents in production creating measurable impact 

• Strong cross-functional alignment across Technology, People, and Finance.