Section Manager Digital Transformation

📣 إعلان

منذ ساعة واحدة تقريباً

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	السعودية

وصف الوظيفة

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.