# Senior Manager - Product Owner

**Company:** [Qiddiya Investment Company](http://jobs.workable.com/companies/tk4V8ANoyWMw9Js529uotH.md)
**Location:** Riyadh, Saudi Arabia
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/065be986-b47a-48e8-9059-b9cb2cf2c45c)

## Description

Lead the strategy, governance, delivery, and continuous enhancement of Data & AI products to maximize business value realization. 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**

-   Define and maintain the **Development** Data & AI product strategies and roadmaps.
-   Establish & maintain product vision, objectives, KPIs, and value realization measures.
-   Prioritize initiatives and investments based on business impact and strategic alignment.
-   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.
-   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.
-   Champion user-centric design principles.
-   Oversee user research, journey mapping, and product usability assessments.
-   Ensure intuitive, scalable, and high-value user experiences.
-   Establish product governance standards and operating procedures.
-   Monitor product quality, performance, reliability, and compliance.
-   Ensure adherence to Data Governance, PDPL, security, and organizational standards.
-   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.

## Requirements

-   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.