AI Tech Lead

Euromonitor International; India; Hybrid; INR 3,500,000 - 5,200,000; Full time

Benefits offered by this job

Hybrid work model

Private health insurance

Generous holiday allowances

Job summary

Euromonitor International seeks an AI Technical Lead to own the strategy, governance, and day-to-day management of internal AI platforms. You will partner with Engineering, Security, and Legal to drive adoption, ensure security, and optimize FinOps across AI tooling.

You will define roadmaps, manage backlogs, lead testing and enablement programs, and build governance frameworks that balance innovation with risk.

Qualifications

• Strong understanding of Generative AI technologies and enterprise AI adoption.
• Experience managing AI-enabled platforms in medium to large organizations.
• Knowledge of platform engineering and modern delivery methods.
• Understanding cloud FinOps principles and managing AI-related costs.
• Experience building and delivering technical training and enablement programs.
• Strong stakeholder management and communication skills.

Responsibilities

• Define and execute the roadmap for internal AI tooling and capabilities.
• Own lifecycle management of AI platforms and tooling, including deployment and monitoring.
• Establish governance frameworks, policies, and guardrails for secure AI usage.
• Monitor AI platform consumption, costs, and value realization.
• Lead structured testing and validation of new AI capabilities and model releases.
• Design and deliver AI training programs and community enablement.

Skills

Generative AI

LLMs

Platform engineering

FinOps

Stakeholder management

Technical leadership

Tools

Azure OpenAI

GitHub Copilot

Microsoft Fabric AI

Cloud platforms

Job description

About Euromonitor

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

Overview of the role

TheAI Technical Leadis responsible for the strategy, governance, adoption, and day-to-day management of internally used AI platforms and tooling across the Technology organization. This role combines technical leadership, platform ownership, stakeholder engagement, and change management to ensure AI capabilities deliver measurable value while remaining secure, cost-effective, and aligned with organisational standards.

The AI Technical Lead acts as the primary technical authority for internal AI tooling, including AI assistants, developer productivity tools, model access platforms, and related services. They are responsible for evaluating new capabilities, validating features through structured testing, defining adoption approaches, and ensuring governance frameworks are established and maintained.

The role requires a strong understanding of cloud FinOps principles to manage AI-related expenditure effectively, balancing innovation with responsible cost management. The AI Technical Lead provides guidance on consumption patterns, licensing, optimization opportunities, and value realization across AI platforms.

Working closely with engineering teams, architecture, security, compliance, and business stakeholders, the AI Technical Lead develops standards, best practices, training materials, and enablement programs that help teams leverage AI responsibly and effectively. They facilitate workshops, coaching sessions, proof-of-concept initiatives, and community activities that accelerate AI literacy and practical adoption throughout the Technology department.

The AI Technical Lead owns the backlog and roadmap for internal AI tooling, gathering requirements and feedback from stakeholders, translating them into well-defined work items, and driving delivery of enhancements that improve productivity, knowledge sharing, engineering effectiveness, and business outcomes. They ensure governance, security, compliance, and operational requirements are incorporated into all AI initiatives.

When new AI technologies emerge, the AI Technical Lead assesses their applicability to the organization, provides recommendations on adoption, and helps establish controls that enable innovation while managing risk.

What you’ll do

AI Strategy & Adoption

Define and execute the roadmap for internal AI tooling and capabilities; identify opportunities to improve productivity and business outcomes through AI; evaluate emerging technologies and recommend adoption approaches; and align AI initiatives with organisational objectives and technology strategy.

AI Platform Ownership

Own the lifecycle management of internal AI platforms and tools (development, deployment, monitoring); coordinate feature evaluations, pilot programs, rollout activities, and operational improvements; manage platform relationships and licensing considerations; and ensure services are reliable, secure, and delivering measurable value.

AI Governance & Risk Management

Establish and maintain governance frameworks, standards, policies, and guardrails for secure AI usage; collaborate with InfoSec, Data Protection, Legal, and Architecture teams to ensure AI adoption aligns with organisational requirements; and promote responsible, transparent, and ethical use of AI technologies.

FinOps & Cost Management

Monitor AI platform consumption and costs; analyse usage trends and value realization; identify optimization opportunities; support budgeting and forecasting activities; provide recommendations for efficient resource utilization; and ensure AI investments are managed responsibly and sustainably.

Testing, Evaluation & Quality Assurance

Lead structured testing and validation of new AI capabilities and model releases; evaluate functionality, performance, accuracy, usability, security, and business value; document findings and recommendations; and ensure new capabilities meet agreed standards before wider adoption.

Training, Workshops & Community Building

Design and deliver AI training programs, workshops, demonstrations, and hands-on learning sessions tailored to Technology teams; develop learning resources and best practice guidance; establish communities of practice; and encourage knowledge sharing across the organization.

Backlog, Delivery & Stakeholder Alignment

Own and prioritise the backlog and roadmap for AI tooling and initiatives; gather requirements and feedback from stakeholders; manage dependencies, risks, and delivery plans; communicate priorities and outcomes clearly; and ensure delivered capabilities address real user needs.

Continuous Improvement

Use data, feedback, and adoption metrics to drive continuous improvement; identify barriers preventing effective AI usage; introduce improvements to tooling, processes, and governance; and continuously enhance the user experience.

Documentation & Standards

Ensure clear, accessible documentation covering AI tooling, governance requirements, usage guidelines, best practices, operating procedures, and decision records; support self-service enablement and maintain knowledge repositories.

Technical Leadership

Provide technical leadership and subject matter expertise relating to AI platforms, model capabilities, integrations, prompt engineering approaches, automation opportunities, and adoption patterns; guide technical decision-making and help teams maximize value from AI technologies.

What we’re looking for

• Strong understanding of Generative AI technologies, Large Language Models (LLMs), AI assistants, and enterprise AI adoption approaches.

• Experience managing AI-enabled platforms and services within a medium to large organization.

• Experience in Platform Engineering

• Understanding of cloud FinOps principles and experience managing technology consumption costs.

• Experience evaluating, testing, andvalidatingnew technologiesor platform capabilities.

• Knowledge of AI governance, risk management, compliance, information security, and responsible AI principles.

• Experience building and delivering technical training, workshops, or enablement programs.

• Strong stakeholder management and communication skills.

• Knowledge ofMicrosoft Copilot, Azure OpenAI, Azure AI Services, Microsoft Fabric AI capabilities, GitHub Copilot, Claude, or equivalent platforms.

• Understanding of software engineering practices and modern technology delivery methods.

• Ability to analyse usage data, adoption trends, and business outcomes to support decision making

Advantageous:

• Certification inFinOpsframework.

• Microsoft Applied Skills or certifications related to Azure AI services.

• AI Governance or Responsible AI related certification.

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Why work for Euromonitor?

Our Values:

We seek individuals who act withintegrity

We look for candidates who arecurious about the world

We feel that as a community, we’re strongertogether

We seek toenable people to feelempowered

We welcome candidates who bring strength indiversity

International:We have a multinational workforce and communicate daily across our 16 global offices.

Hardworking and Sociable:Our staff balance hard work with enjoyment, offering flexible hours and regular social events, including after-work meetups, summer and Christmas parties.

Committed to Making a Difference:Our Corporate Social Responsibility Programme provides two volunteering days annually; donation amounts for new starters and supports local and international charities through various initiatives.

Excellent Benefits:We offer competitive salaries, private health insurance, and generous holiday allowances, amongst much more!

Opportunities to Grow:We provide extensive training and development, promoting from within and across departments, and rewarding talent.

Equal Employment Opportunity:Euromonitor International does not discriminate based on race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organization, or other non-merit factors.