Section Manager Digital Transformation

About the Role

Nissan Motor Corporation is seeking a Section Manager Digital Transformation to join its team in Saudi Arabia. This full-time role, based in Jeddah or Makkah, involves leading digital transformation, business intelligence, data analytics, systems integration, automation, data governance, and artificial intelligence initiatives within NKSA. The primary focus is on transforming Sales Performance, Dealer Network Development (DND), and Non-Technical Training through integrated data, digital tools, governed BI, and automation. The role requires 5-10 years of experience.

Key Responsibilities

• Own and maintain the prioritized NKSA transformation roadmap and backlog, with a primary focus on Sales Performance, DND, and Non-Technical Training.
• Map current processes, identify manual/repetitive activity, 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, implementation effort, and total cost of ownership.
• Measure before/after benefit realization, including hours saved, cycle-time reduction, errors reduced, cost avoidance, and user adoption.

Business Intelligence and Data Management

• Own the evolution of the NKSA 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 to prevent duplicate or conflicting reporting.
• Build executive, functional, dealer, and operational views with drill-down capabilities across various organizational levels.
• Expand analytics progressively to DND, Training, CX, CCS, Production, and other approved functions.

Systems Integration and Architecture

• 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, refresh frequency, authentication, monitoring, exception handling, and source-of-truth ownership.
• Coordinate technical feasibility with Local IT, Regional IS/IT, and enterprise system owners; support data pipelines, middleware, and warehouse/lakehouse requirements where approved.
• Maintain the Current-State System Map, Future-State Architecture, Data Flow Map, Integration Catalogue, Interface/API Register, and Application Dependency Map.

Business-to-IT Translation and Product Ownership

• Lead workshops with business functions 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, NKSA Local IT, and Regional IS/IT while respecting technology, architecture, cybersecurity, and platform ownership.
• Coordinate feasibility assessment, solution design, development priorities, testing, UAT, defect resolution, business readiness, cutover, go-live, and post-launch stabilization.
• Maintain a Digital Transformation Dependency & Risk Register covering various IT, data, budget, and security aspects.
• Escalate blocked dependencies through agreed governance with clear owner, due date, and business impact.

AI, Automation, and Advanced Analytics

• Develop a practical, governed NKSA AI roadmap focused on measurable business outcomes.
• Prioritize approved use cases across forecasting assistance, lead scoring/prioritization, conversion and lost-sales analysis, dealer insights, and document intelligence.
• Drive approved Microsoft Copilot and AI-enabled productivity use cases with appropriate security, privacy, human oversight, and adoption controls.
• Prototype and technically evaluate AI/automation opportunities, then coordinate scale-up with Local/Regional IS/IT and relevant owners.
• Define value case, success measure, and control requirements for every use case before production scaling.

Qualifications and Experience

• 5-10 years of experience in digital transformation, business intelligence, data analytics, or related fields.
• Demonstrated ability to lead initiatives in data governance, systems integration, and automation.
• Experience acting as a business-side technical lead and product owner.
• Proficiency in translating operational needs into functional and technical requirements.
• Strong understanding of data governance, quality, security, and single source of truth principles.