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

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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
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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.

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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
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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
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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
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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
Robust 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

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Advanced degree or equivalent experience in computer science, AI/ML, engineering,
analytics, business, or a related field
Preferred Skills and Experiences
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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

📌 AI Transformation Lead (Hyderabad)
🏢 Navsan
📍 Hyderabad