Senior Manager - Product Owner

Role Overview

Senior Manager - Product Owner at Qiddiya Investment Company. This role leads the strategy, governance, delivery, and continuous enhancement of Data & AI products to maximize business value realization.

Role Purpose

Drive product vision, portfolio prioritization, stakeholder alignment, product adoption, and execution excellence while ensuring alignment with organizational objectives and data-driven transformation initiatives.

Key Responsibilities

Strategy & Vision

• Define and maintain Development Data & AI product strategies and roadmaps.
• Establish and maintain product vision, objectives, KPIs, and value realization measures.
• Prioritize initiatives and investments based on business impact and strategic alignment.

Portfolio & Lifecycle Management

• Manage a portfolio of data, AI, analytics, and digital products.
• Lead the end-to-end lifecycle of Data & AI products.
• Oversee backlog prioritization, sprint planning, and release management.
• Ensure delivery timelines, budget adherence, and expected business outcomes.
• Resolve strategic delivery risks and roadblocks.

Stakeholder Management & Adoption

• Engage executive stakeholders to define priorities and strategic direction.
• Act as the primary bridge between business, technology, design, and data teams.
• Drive product adoption and business engagement across the organization.

User Experience & Design

• Champion user-centric design principles.
• Oversee user research, journey mapping, and product usability assessments.
• Ensure intuitive, scalable, and high-value user experiences.

Governance & Compliance

• Establish product governance standards and operating procedures.
• Monitor product quality, performance, reliability, and compliance.
• Ensure adherence to Data Governance, PDPL, security, and organizational standards.

Team Leadership & Capability Building

• Lead and mentor Product Owners, Business Analysts, and Product Management resources.
• Establish product management methodologies, templates, and standards.
• Build organizational capabilities across product management disciplines.

Qualifications & Experience

• Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
• 7+ years of experience in Product Management, Data Products, Analytics, or AI-related domains.
• Proven experience managing enterprise-scale product portfolios.
• Strong understanding of Data & AI platforms, governance, analytics, and digital transformation.
• Professional certifications in Product Management, Agile, Project Management, or Change Management preferred.