Valtech - AI Enablement Lead
Requirements
• To be considered for this role, you must meet the following essential qualifications: • Fluent in AI-native ways of working. • Familiarity with SDLC and how to transform it with AI. • Hands-on AI-Native fluency, including Spec-Driven Development, building agents and skills, and designing workflows that reduce time to deliver. • Experience designing training or curriculum at scale — instructional design skill, not just subject matter expertise. • Familiarity with partner certification programs (Google, Microsoft, Anthropic, Databricks); holding one or more certifications is a strong signal. • Experience measuring training effectiveness and tying learning metrics to business outcomes, not just completion rates. • Facilitation skills for live cohort delivery. • Comfort building a function from scratch, given this role has no established playbook to inherit. Understanding the forward deployed engineering (FDE) model. • Proven track record of leading AI transformation • One AI Native Certification (Anthropic, Google) • Commitment to reaching all kinds of people • We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. • This is a fixed-term position based in Montreal/Toronto. • fixed-term • Montreal/Toronto. • Your application process • ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. • We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. • Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. • At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. • At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. • Are you ready to create what’s next? Join us.
Responsibilities
• Training Strategy & Curriculum • Create the training strategy for transforming the workforce to be Experience-Led, AI-Native. • Create and evolve training content for Experience Led, AI-Native SDLC. • Design training across multiple modalities — self-service, classroom-style, and guided — matched to audience and use case. • Create hands-on projects for people to learn from, sourced from live proof points (e.g., FDEE pod engagements) so training reflects what's actually working in the field, not just theory. • Define internal proficiency levels for AI-Native SDLC skills, distinct from external certifications, so bench and delivery readiness can be assessed directly. • Delivery & Enablement • Run trainings on AI-Native SDLC for practitioners. • Equip new teams who are starting on AI-native engagements. • Coordinate the AI Transformation Office's champion/practitioner network as force multipliers for training delivery, rather than delivering all training personally. • Align training strategy with bench and new hires. • Own onboarding curriculum for new hires and bench redeployments into AI-native engagements, tied to reducing time-to-productivity. • Content & Hub Maintenance • Own the ongoing maintenance of the Experience-Led, AI-Native hub material. • Run a feedback loop from delivery back into curriculum, revising content on a regular cadence based on what's landing or failing in real engagements. • Comms, Metrics & Accountability • Partner with communications teams to drive employee awareness of AI Transformation initiatives. • Translate training milestones, cert progress, and adoption wins into internal facing updates. • Highlight practitioner and team success stories from AI Native engagements to reinforce adoption and celebrate proof points. • Keep messaging on AI Native transformation consistent across the region and across practices, coordinating with global counterparts as needed. • Own training metrics across the organization to drive transformation. • Align training cadence and content with the AI Native Certification Challenge (Google, Gemini Enterprise, Microsoft, Anthropic, Databricks) so certification prep and SDLC training run as one system. • Own reporting on certification attainment against performance-management requirements. • Key performance indicators (KPIs) • Certification attainment rate across the practice, tied to certification program targets. • Time-to-productivity for new hires and bench redeployments into AI-native work. • Training completion and adoption rate across delivery teams.
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