AI Transformation Lead

Navsan; India; À distance; INR 3 500 000 - 7 000 000; Plein temps

Avantages offerts par ce poste

Remote work

Flexible schedule

Competitive compensation

Résumé du poste

Navsan is seeking a Technology Lead to drive AI strategy, governance, and transformation across the enterprise. You will align AI initiatives with Responsible AI principles, regulatory expectations, and business priorities while building strong partnerships across the organization.

The role focuses on scaling trusted AI capabilities from experimentation to production, coordinating across AI CoE, technology, risk, and business partners, and delivering secure, scalable, enterprise-grade AI

Qualifications

• Executive-level leadership in AI or enterprise digital transformation.
• Proven delivery of enterprise tech with measurable business impact.
• Deep understanding of AI/ML lifecycle and data ecosystems.
• Knowledge of Responsible AI, governance, privacy, security, and regulation in financial services.

Responsabilités

• Lead AI strategy and governance across enterprise AI initiatives.
• Own delivery of measurable outcomes: revenue growth, efficiency, risk reduction.
• Lead multi-disciplinary teams from ideation to scaling.
• Industrialize AI delivery with reusable patterns and platforms.
• Ensure regulatory, risk, ethical, and Responsible AI practices.

Connaissances

Executive leadership

AI experience

AI governance

Stakeholder influence

Cross-functional leadership

Formation

Advanced degree in CS/AI/engineering/analytics

Description du poste

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.

Summary: 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.

AI Innovation and Solution Development

• Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
• 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

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.

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