AI Transformation Lead

Navsan; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Navsan is seeking an Technology Lead to drive AI strategy and transformation across the enterprise. This remote leadership role focuses on delivering secure, scalable AI capabilities aligned with Responsible AI principles, regulatory expectations, and business priorities.

You will partner with AI CoE, technology, risk, and business teams to industrialize delivery, promote reuse, and accelerate enterprise AI initiatives from ideation to production.

Qualifications

• Executive-level leadership in AI, analytics, or enterprise digital transformation.
• Proven delivery of enterprise technology solutions with measurable impact.
• Deep understanding of AI/ML lifecycle, data ecosystems, and production deployment.
• Knowledge of Responsible AI, model risk, governance, privacy, and security in financial services.
• Ability to influence senior executives and operate across matrixed organizations.

Responsibilities

• Serve as a senior advisor and integrator across decentralized AI initiatives.
• Collaborate with business lines, product, technology, risk, legal to embed governance.
• Advance research, partnerships, and industry relationships to strengthen priorities.
• Own delivery of measurable outcomes: revenue growth, cost optimization, CX improvements.
• Lead multi-disciplinary teams across ideation, validation, deployment, scaling.
• Industrialize AI delivery with reusable patterns, platforms, and capabilities.
• Maintain Responsible AI practices: bias, model risk, privacy, security.
• Lead full AI lifecycle: ideation to production deployment and scaling.
• Oversee domains: agentic AI, document intelligence, generative AI apps.

Skills

Executive leadership

Delivery leadership

AI/ML lifecycle

Responsible AI

Stakeholder influence

Industry leadership

AI CoE

Hands-on AI/ML

Thought leadership

Cross-functional leadership

Education

Advanced degree

Job description

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