AI Transformation Lead

Job Description Job Location: Remote. Job Title: Technology Lead. Summary: This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise architecture, and business priorities. The leader will build strong partnerships across the enterprise, industrialize delivery models, and help position Mclarens as an AI-enabled organization delivering secure, scalable, and differentiated customer and employee experiences. The AI Transformation Lead Solutions leads enterprise AI solution delivery, translating strategy and product roadmaps into measurable business value. This leader scales trusted, compliant, enterprise-grade AI capabilities from experimentation to production; coordinates delivery across the AI CoE, technology, risk, and business partners; promotes reuse; and accelerates execution against enterprise AI priorities. Key Responsibilities AI Strategy & Transformation Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery Advance research, patents, intellectual property, external partnerships, academic relationships, and industry presence where they strengthen enterprise priorities Business alignment & Delivery Excellence Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization. Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences. Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization AI Innovation and Solution Development Lead the design, development, and deployment of high-impact AI solutions across business lines Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications Enterprise platforms & AI Governance Drive enterprise adoption through leadership education, community engagement, art of the possible sessions, and use-case discovery Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk legal, compliance, and business functions Create a culture of innovation, experimentation, accountability, reuse, and continuous learning Basic Qualifications Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation Proven track record delivering enterprise technology solutions with measurable business impact Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field Preferred Skills and Experiences Experience leading applied AI teams in financial services or another highly regulated industry. Demonstrated success building and scaling centralized AI delivery functions, such as an AI CoE or equivalent capability Hands-on AI/ML experience, including familiarity with modern model architectures, generative AI, and agentic AI patterns Established industry thought leadership, research, patent, academic, or ecosystem partnership experience Experience managing large, cross-functional teams across business, technology, and risk disciplines #J-18808-Ljbffr