AI and Automation Lead

Innovo Group; Dubai; On-site; AED 900,000 - 1,200,000; Full time

Job summary

Innovo Group in Dubai seeks a strategic AI and automation leader to define and deliver the company's AI strategy, focusing on Generative AI and practical business applications, while building internal capability and governance.

You will lead cross-functional teams, align initiatives with business priorities, ensure scalable, secure, and responsible AI solutions, and drive adoption with measurable business impact.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI or related field, including relevant certifications.
• 8+ years in AI, data science, automation, software engineering, data, or related technology roles.
• Hands-on experience designing, building, deploying, and operating enterprise AI and automation solutions, including modern generative AI capabilities.
• Strong understanding of AI, machine learning, generative AI, advanced analytics, and automation, with practical experience using Azure, cloud-based AI services, APIs, data protection, access control, and technology integration.
• Experience establishing and operating AI governance, responsible-use controls, evaluation, testing, production monitoring, support, cost management, and platform administration.
• Experience leading technical teams, building internal capability, and managing external delivery partners in an environment where processes and capabilities are still developing.
• Ability to translate business problems into practicalAI-solutionswith clear adoption plans and measurable outcomes.
• Hands-on leader combining technical direction, delivery, governance, adoption, andpeopleleadership.
• Proactive and accountable, withthe persistenceand judgment to keep work moving.
• Pragmatic and business-focused, choosing the right solution and challenging low-value requests.
• Clear, collaborative communicator across business, technical, and executive audiences.
• Adaptable and outcome-driven, with a focus on building capability and measurable value.

Responsibilities

• Define and maintain the AI and automation strategy and roadmap, aligned with business priorities, expected value, risk, and available capacity.
• Work with IT Business Partners, the IT Portfolio Manager, business stakeholders, andtechnology teamstoidentify, assess, prioritize, and govern AI and automation opportunities based on ownership, value, feasibility, risk, adoption, and available capacity.
• Lead delivery of practical solutions from discovery through design, build, release, operation, improvement, and retirement.
• Create standards and governance for responsible, secure, maintainable, and cost-aware AI and automation solutions.
• Build internal capabilities, methods, reusable components, documentation, and knowledge transfer, coordinating external partners where needed.
• Improve AI literacy and adoption by developing practical guidance and helping teams use AI solutions effectively, responsibly, ethically, and transparently, withappropriate humanjudgment and accountability.
• Ensure solutions are secure, scalable, maintainable, cost-aware, and integrated with business workflows, data, cybersecurity, and technology standards.
• Lead, support, and develop team members and partners, setting clear expectations and ensuring accountability, knowledge transfer, and sustainable ownership.
• Define testing, evaluation, monitoring, feedback, incident, and retirement practices, while tracking adoption, quality, risk, cost, and business impact.
• Assess business, privacy, security, and human risks, challenge low-valueor poorly defined requests, and make clear recommendations.

Skills

Leadership

AI governance

Strategic planning

Cross-functional collaboration

Delivery leadership

Change management

Stakeholder management

Hands-on technical skills

Education

Bachelor's degree in Computer Science or related

Tools

Azure

APIs

Cloud services

Job description

The roleis responsible forleading the company's AI and automation capability. Theinitialemphasis will be on Generative AI and practical business applications, while the roleretainsa broader mandate for future AI capabilities. The role combines strategic leadership with hands-on delivery toidentifyopportunities, shape priorities, build internal capability,establisheffective ways of working, and ensure solutions are adopted, governed, measured, and improved.The role focuses onidentifyinghigh-value AI opportunities, aligning AI initiatives with business priorities, and ensuring the organization adopts AI in a responsible, scalable, and outcome-driven way, while enabling innovation and operational efficiency across the organization.

Key Accountabilities

• Define andmaintainthe AI and automation strategy and roadmap, aligned with business priorities, expected value, risk, and available capacity.
• Work with IT Business Partners, the IT Portfolio Manager, business stakeholders, andtechnology teamstoidentify, assess, prioritize, and govern AI and automation opportunities based on ownership, value, feasibility, risk, adoption, and available capacity.
• Lead delivery of practical solutions from discovery through design, build, release, operation, improvement, and retirement.
• Create standards and governance for responsible, secure, maintainable, and cost-aware AI and automation solutions.
• Build internal capabilities, methods, reusable components, documentation, and knowledge transfer, coordinating external partners where needed.
• Improve AI literacy and adoption by developing practical guidance and helping teams use AI solutions effectively, responsibly, ethically, and transparently, withappropriate humanjudgment and accountability.
• Ensure solutions are secure, scalable, maintainable, cost-aware, and integrated with business workflows, data, cybersecurity, and technology standards.
• Lead, support, and develop team members and partners, setting clear expectations and ensuring accountability, knowledge transfer, and sustainable ownership.
• Define testing, evaluation, monitoring, feedback, incident, and retirement practices, while tracking adoption, quality, risk, cost, and business impact.
• Assess business, privacy, security, and human risks, challenge low-valueor poorly defined requests, and make clear recommendations.

Qualifications, Experience, Knowledge & Skills

• Bachelor’s degree in Computer Science, Data Science, ArtificialIntelligenceor related discipline, including relevant certifications
• Typically8+ years in AI,data science,automation, software engineering, data, or related technology roles.
• Proven hands-on experience designing, building, integrating, deploying, andoperatingenterprise AI and automation solutions, including modern generative AI capabilities.
• Strong understanding of AI, machine learning, generative AI, advanced analytics, and automation, with practical experience using Azure, cloud-based AI services, APIs, data protection, access control, and technology integration.
• Experience establishing and operating AI governance, responsible-use controls, evaluation, testing, production monitoring, support, cost management, and platform administration.
• Experience leading technical teams, building internal capability, and managing external delivery partners in an environment where processes and capabilities are still developing.
• Ability to translate business problems into practicalAI-solutionswith clear adoption plans and measurable outcomes.
• Hands-on leader combining technical direction, delivery, governance, adoption, andpeopleleadership.
• Proactive and accountable, withthe persistenceand judgment to keep work moving.
• Pragmatic and business-focused, choosing the right solution and challenging low-value requests.
• Clear, collaborative communicator across business, technical, and executive audiences.
• Adaptable and outcome-driven, with a focus on building capability and measurable value.