Lead Product Manager – Data & AI (Banking)

About the Organization

• Established and systemically important bank in the GCC region.
• Services include retail, corporate, government, international, and investment clients.
• Currently undergoing an extensive digital and data transformation, with a strong in-house Data & AI capability.

Role Overview

• End-to-end responsibility for data and AI products within a specific business domain (Retail or Wholesale Banking).
• Accountable owner for product vision, execution, and prioritization.
• Serves as the interface between commercial stakeholders and Data & AI delivery teams.
• Transforms strategic business priorities into scalable solutions with measurable business impact.

Strategy and Roadmap

• Define and uphold product vision and multi-quarter roadmap for the assigned domain.
• Collaborate with domain heads to identify commercial value opportunities through data.

Stakeholder Ownership

• Main point of contact between Data & AI functions and the business line.
• Manage competing demands and negotiate trade-offs.
• Report progress, risks, and dependencies to senior leadership and steering committees.

Delivery Responsibilities

• Maintain backlog across data engineering, data science, machine learning engineering, and business intelligence teams.
• Create epics, user stories, and acceptance criteria with technical leads and architects.
• Lead sprint ceremonies and ensure high delivery quality for data products, dashboards, models, and AI capabilities.

Planning and Coordination

• Oversee the full product lifecycle from requirement gathering through release.
• Manage cross-team dependencies, capacity planning, and release sequencing.
• Facilitate integration of solutions into core banking systems and workflows.

Value and Governance

• Define and monitor product KPIs and return on investment metrics.
• Ensure compliance with data governance, privacy, and security policies.
• Collaborate with governance teams on data quality, lineage, and ownership matters.

Candidate Profile

• Strong understanding of banking operations across retail, corporate, or digital business channels.
• Experienced in product management within data, AI, or digital transformation domains.
• Ability to convert business problems into actionable data and AI product requirements.
• Proven track record in setting roadmaps, defining success metrics, and establishing ROI business cases.
• Experienced in senior stakeholder management within business and technology functions.
• Demonstrated leadership of cross-functional Agile or hybrid teams.
• Familiar with AI/ML lifecycle, analytics, and business intelligence solutions.
• Knowledgeable about lakehouse, streaming, and API-driven architectures.

Experience & Qualifications

• Bachelor’s or Master’s degree in AI, Data Science, Finance, Information Systems, or related fields.
• Over 10 years of experience in product management, program management, or data and AI delivery roles.
• Proven success delivering complex data or AI products within financial services or technology sectors.
• Certification in Scrum Product Owner, SAFe, or PMI PMBoK considered a plus.

Additional Information

Only shortlisted candidates will be contacted for further discussion.