Section Manager Digital Transformation

About the Role

Nissan is seeking a Section Manager Digital Transformation to lead digital transformation, business intelligence, data analytics, systems integration, automation, data governance, and artificial intelligence initiatives. This full-time role focuses primarily on transforming Sales Performance, Dealer Network Development (DND), and Non-Technical Training through integrated data, digital tools, governed BI, and automation. The position is based in Saudi Arabia.

Key Responsibilities

• Own and maintain the prioritized transformation roadmap and backlog, with a primary focus on Sales Performance, DND, and Non-Technical Training.
• Map current processes, identify manual activities, and redesign priority workflows using approved digital solutions.
• Develop or coordinate internal solutions including dealer assessment, DND expansion tracking, training/certification tools, and reporting automation.
• Assess vendor technical proposals, architecture, scalability, integration approach, security, and total cost of ownership before solution selection.
• Measure benefit realization, including hours saved, cycle-time reduction, errors reduced, cost avoidance, and user adoption.
• Own the evolution of the Sales Performance Dashboard into an integrated performance-management environment.
• Establish Power BI architecture, dashboard/UI standards, reusable data models, governed workspaces, and deployment processes in coordination with IT.
• Define common KPI architecture covering source, owner, logic, target, frequency, and management use.
• Build executive, functional, dealer, and operational views with drill-down capabilities.
• Expand analytics progressively to DND, Training, CX, CCS, Production, and other approved functions.
• Map current-state systems, interfaces, data flows, ownership, and dependencies across various platforms.
• Identify manual interfaces, duplicate data handling, quality gaps, and system limitations; define future-state integration priorities.
• Document API/interface requirements, data mappings, business rules, transformation logic, and source-of-truth ownership.
• Coordinate technical feasibility with Local IT, Regional IS/IT, and enterprise system owners.
• Maintain the Current-State System Map, Future-State Architecture, Data Flow Map, Integration Catalogue, Interface/API Register, and Application Dependency Map.
• Lead workshops to convert problems and opportunities into Business Requirement Documents (BRDs), functional specifications, user stories, and acceptance criteria.
• Act as the business-side technical owner between functions, Local IT, and Regional IS/IT.
• Coordinate feasibility assessment, solution design, development priorities, testing, UAT, defect resolution, and go-live activities.
• Maintain a Digital Transformation Dependency & Risk Register.
• Develop a practical, governed AI roadmap focused on measurable business outcomes.
• Prioritize approved AI use cases across forecasting, lead scoring, conversion analysis, and training analytics.
• Drive approved Microsoft Copilot and AI-enabled productivity use cases with appropriate controls.
• Prototype and technically evaluate AI/automation opportunities, then coordinate scale-up.
• Define value case, success measure, and control requirements for every use case.
• Establish and maintain a data-governance operating model covering data ownership, authoritative source, KPI definition, quality rules, and lineage.
• Maintain Data Dictionary, KPI Dictionary, System/Data Map, Data Ownership Matrix, Data Quality Rules, and Reporting Governance Framework.
• Work within Nissan/NKSA architecture and cybersecurity governance, ensuring role-based access and privacy-by-design.
• Coordinate resolution of material data-quality and reconciliation issues.
• Manage the solution lifecycle from problem definition through development, integration, testing, training, go-live, and enhancement.
• Coordinate with Executive Management, Sales, DND, Training, CX, Finance, Marketing/Aftersales, Local IT, Regional IS/IT/AMIEO, dealers, platform owners, and technology vendors.
• Drive user readiness, training, adoption, and change management.
• Track business benefits and continuous-improvement opportunities; maintain lessons learned and enhancement backlog.
• Provide concise, governed management insights and support monthly/quarterly business reviews.

Qualifications and Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Information Technology, Data Science, Business Analytics, Computer Engineering, or equivalent.
• Minimum 8 years of relevant professional experience, preferably with ownership of enterprise-scale solutions across Digital Transformation, Enterprise Software, Data/BI, Systems Integration, API development/integration, Data Modelling, Automation, Business Applications, AI implementation, or Solution Delivery.
• Strongly preferred: Experience in automotive, dealer operations, CRM/lead management, automotive finance, financial services, or enterprise transformation.
• Mandatory: Excellent English communication skills (spoken and written).
• Arabic language skills are preferred but not mandatory.

Work Type

This is a full-time position.