Technical Product Owner at Deeplight

Abu Dhabi, Abu Dhabi, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Generative AI, LLMs, Agentic Systems, Enterprise ML Platforms, AI Evaluation, Observability, Product Roadmap, Agile Execution, Backlog Refinement, Jira, RAG, RLHF, Azure OpenAI, LangChain, Pinecone, Product Management

Industry

IT Services and IT Consulting

Description

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. The Technical Product Manager is a strategic leader responsible for defining and delivering the next generation of AI and Machine Learning platforms at ADCB. This role sits at the intersection of Data Science, Engineering, and Business, transforming the Bank’s Generative AI strategy into scalable, secure, and high-impact products. You will own the product roadmap and agile execution for squads focused on LLMs, agentic systems, and enterprise ML platforms. Success in this role requires a deep technical understanding of AI evaluation and observability combined with the commercial acumen to drive ROI and continuous improvement across the Bank’s digital and operational value streams. As the Technical Product Owner, your responsibilities will include; Translating the enterprise Generative AI strategy into actionable technical roadmaps, backlogs, and engineering-ready capabilities. Acting as the Product Owner for AI squads, facilitating sprint planning, backlog refinement in Jira, and removing blockers to maintain high delivery velocity. Defining and implementing robust frameworks for evaluating LLMs and agentic workflows, ensuring AI outputs are transparent, explainable, and high-performing. Leading the end-to-end AI product lifecycle, from rapid prototyping and feasibility assessment to production monitoring and iterative improvement. Serving as the primary liaison between technical squads and business units, narrating complex AI capabilities as compelling business value propositions. Ensuring all AI products align with ADCB’s ethical principles, compliance standards, and enterprise-grade security requirements. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. What we need you to have: A minimum of 7 years in Product Management, specifically focused on AI, digital platforms, or enterprise-scale technology solutions. A Bachelor’s degree in Business, Computer Science, or Information Systems. A Master’s degree or specialized certification in AI Strategy is highly preferred. Experience leading cross-functional squads to deliver successful AI/ML products from concept to production. A strong understanding of Generative AI concepts, including RAG (Retrieval Augmented Generation), LLMs, agentic systems, and RLHF. Expert-level experience in managing complex backlogs, prioritizing features based on business impact, and facilitating Agile ceremonies. Knowledge of evaluation frameworks for AI models and the ability to define KPIs that measure both technical performance and business ROI. Familiarity with the modern AI stack (e.g., Azure OpenAI, LangChain, Pinecone) and agile management tools like Jira. Ability to balance rapid experimentation and prototyping with the requirements of a highly regulated banking environment. It would be beneficial if you also have: Qualifications including; CSPO (Certified Scrum Product Owner), SAFe POPM, or equivalent agile certifications. Excellent presentation skills with the ability to influence senior leadership through clear product visions. A proactive approach to identifying emerging AI trends and assessing their applicability to banking use cases. Active contribution to an internal AI Community of Practice to foster knowledge sharing and innovation across the Bank. Ability to perform product-market fit analysis to ensure AI solutions solve real user friction points. Benefits & Growth Opportunities: Competitive salary. Visa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification support. Opportunity to work on cutting-edge AI projects. Career advancement opportunities in a rapidly growing AI company. This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Responsibilities

The Technical Product Owner will translate the enterprise Generative AI strategy into actionable technical roadmaps and serve as the Product Owner for AI squads, managing sprint execution and backlog refinement in Jira. Responsibilities also include defining evaluation frameworks for LLMs and leading the end-to-end AI product lifecycle from prototyping to production monitoring.