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Global Technical Product Owner – AI & ML | Banking

SaltAbu Dhabi, Abu Dhabi Emirate, United Arab Emirates

International applicants
Full Time
Product Management

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Company name

Salt

Company type

Private

Job type

Full Time

Salary range

Not Specified

Location

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

Qualifications

Bachelor's Degree

Experience

0-2 years

Functional area

Product Management

International applicants

Yes

About this role

Salt is seeking an experienced Global Technical Product Owner – AI & ML to drive the development and delivery of Generative AI products and enterprise AI capabilities within a leading banking environment in Abu Dhabi, United Arab Emirates. This is an exciting opportunity for a product leader who can bridge business strategy, data science and engineering, translating AI capabilities into secure, scalable solutions that deliver measurable business value. Apply now to build enterprise AI products and drive meaningful business transformation.

Looking for a Global Technical Product Owner – AI & ML | Banking at Salt in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates? This role focuses on the day-to-day work of a Global Technical Product Owner – AI & ML | Banking.

My client is looking for a Global Technical Product Owner – AI & ML | Banking | UAE My client is seeking an experienced Global Technical Product Owner – AI & ML to drive the development and delivery of Generative AI products and enterprise AI capabilities within a leading banking

Company Overview

At Salt Solutions Group, we help organisations solve growth, transformation and workforce challenges through a unique combination of talent, consulting and delivery solutions. For over two decades, we've partnered with ambitious start-ups, scale-ups and global enterprises to build teams, deliver projects and create futures. With locations across five continents, we help businesses scale faster and deliver critical outcomes.

Quick Details

  • Job Type: Full-time
  • Experience: 8 Year+
  • Qualifications: Bachelor's degree

Key Responsibilities

  • Define and drive the product strategy and roadmap for Generative AI solutions, aligned with business transformation objectives.
  • Translate AI strategy into prioritised initiatives, product requirements and scalable enterprise solutions.
  • Lead cross-functional teams across AI, data science, engineering and business functions to deliver high-impact AI products.
  • Own and manage multi-squad product backlogs, prioritisation, agile execution and cross-platform dependencies.
  • Establish evaluation frameworks for LLMs and agentic workflows, defining KPIs, ROI measures and performance benchmarks.
  • Drive AI observability, governance, fairness and regulatory compliance across the product lifecycle.
  • Engage senior stakeholders, translating complex technical capabilities into clear business outcomes and executive-level narratives.
  • Evaluate emerging AI technologies and drive adoption of LLMs, RAG, agentic systems and tools such as Azure OpenAI, LangChain and Pinecone.
  • Lead and develop the team, fostering innovation, continuous improvement and effective product delivery.

Requirements

  • 8+ years of experience in product management, ideally focused on AI-enabled automation and enterprise technology products.
  • Proven experience delivering enterprise AI platforms and leading cross-functional technical teams.
  • Strong understanding of Generative AI, LLMs, RAG, RLHF, agentic workflows and AI lifecycle management.
  • Experience with agile product management, portfolio prioritisation, backlog ownership and multi-team delivery.
  • Knowledge of AI evaluation, observability, governance and responsible AI principles.
  • Strong stakeholder management, communication and executive engagement skills.
  • Bachelor's degree in Computer Science, Business, Information Systems or a related discipline.
  • Product management or AI strategy certifications are advantageous.

Benefits

  • Opportunities to drive the development and delivery of Generative AI products.
  • Work within a leading banking environment.
  • Bridge business strategy, data science and engineering.
  • Translate AI capabilities into secure, scalable solutions.
  • Deliver measurable business value.
  • Lead cross-functional teams and foster innovation.

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