Job Description

About the Company

Aligned with Saudi Arabia's Vision 2030, we harness the Kingdom's rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region's human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom's ambitious objectives, championing a high-tech, sustainable future.

About the role

We are seeking a Senior AI Success Manager to lead the end-to-end execution, adoption, and value realization of Advanced Analytics (AA) and AI use cases. This senior role is based in Riyadh and requires 10+ years of experience, strong leadership capabilities, and the ability to bridge business units, analytics teams, and governance bodies. The AI Success Manager will ensure AI initiatives move smoothly from ideation to production and into business-as-usual (BAU) operations, delivering measurable impact.

Key Responsibilities

Lead the setup of AA & AI use case squads, ensuring identification and nomination of all required roles and coordination with different Business Units (BUs). Work with the Analytics Platform Administration Manager to set up infrastructure and secure access for use case squad members. Support AA & AI use case squads during the model development phase by identifying and resolving bottlenecks. Coordinate with the Analytics Platform Administration Manager during operationalization to ensure smooth transfer of models into production environments. Collaborate with ABP and BUs to support change management and adoption of AI outputs into BAU processes. Conduct operational governance by tracking, recording, and reporting progress across development stages, milestones, and value realization for all AI use cases. Support the COI, BU, and Finance teams in defining and implementing impact tracking and value measurement methodologies for AI initiatives.

Requirements:

10+ years of professional experience, with senior-level exposure to AI, analytics, or digital transformation initiatives. Strong understanding of machine learning models and the AA & AI use case lifecycle. Familiarity with key AI development stages including data engineering, feature engineering, model building, testing, and operationalization. Basic understanding of banking finance, revenue models, and business value drivers. Working knowledge of Python, R, and platforms such as DataRobot is a plus. Strong stakeholder management, communication, and interpersonal skills. Proven leadership skills with experience managing and coordinating multiple cross-functional teams. Excellent planning, time management, and organizational skills. Detail-oriented, execution-focused, and able to manage workload effectively to meet deadlines. Arabic-speaking capability is preferred; English proficiency is required.

Why Join Us

Lead high-impact AI and Advanced Analytics initiatives at enterprise scale. Play a pivotal role in turning AI use cases into measurable business value. Work closely with senior leadership, governance bodies, and cross-functional teams. Gain exposure to end-to-end AI lifecycle management, from ideation to BAU adoption. Be part of a forward-looking organization driving AI-led transformation in the region.

Disclaimer

CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.