Section Manager Digital Transformation
Role Overview
Leads NKSA digital transformation, BI, data analytics, systems integration, automation, data governance, and AI initiatives.
Primary priorities are sales performance, dealer network development, and non-technical training; wider capabilities may support other functions based on approved priorities.
Acts as a business-side technical lead and product owner bridging business functions, IT teams, enterprise platforms, dealers, and technology partners; does not replace IT ownership.
Key Skills for This Role
Full Job Posting
Role overview
Leads NKSA digital transformation, BI, data analytics, systems integration, automation, data governance, and AI initiatives.
Primary priorities are sales performance, dealer network development, and non-technical training; wider capabilities may support other functions based on approved priorities.
Acts as a business-side technical lead and product owner bridging business functions, IT teams, enterprise platforms, dealers, and technology partners; does not replace IT ownership.
Transformation and performance management
- Own the prioritized transformation roadmap and backlog; map processes and redesign workflows using approved digital solutions.
- Coordinate internal solutions for dealer assessment, network expansion, training, workflow approvals, management actions, and reporting automation.
- Evolve the sales dashboard and establish Power BI architecture, data models, workspace governance, deployment, refresh, and adoption standards.
- Define KPI standards and deliver executive, functional, dealer, and operational reporting, including trends, comparisons, exceptions, and action tracking.
Integration and technical product ownership
- Map systems, interfaces, data flows, ownership, and dependencies across platforms including Salesforce, SAP, Dragon, CRM, LMS, Power BI, and Microsoft 365.
- Define integration requirements, data mappings, business rules, refresh, authentication, monitoring, exception handling, and source-of-truth ownership.
- Translate business needs into BRDs, specifications, user stories, and acceptance criteria; coordinate feasibility, testing, UAT, go-live, and stabilization.
- Maintain system, architecture, data-flow, integration, dependency, and risk documentation.
AI, analytics, and governance
- Develop a governed AI roadmap and prioritize use cases such as forecasting, lead analysis, dealer insights, training analytics, and document intelligence.
- Evaluate AI and automation prototypes and coordinate approved scale-up with appropriate security, privacy, and human oversight.
- Lead analytics across sales performance, CRM and lead intelligence, dealer network development, and training.
- Maintain data governance for ownership, authoritative sources, KPI definitions, quality, access, security, retention, and lineage.
Delivery and stakeholder coordination
- Manage the solution lifecycle from problem definition and requirements through architecture, security review, integration, testing, training, go-live, and enhancement.
- Coordinate business functions, IT, regional teams, dealers, platform owners, and vendors; drive readiness, change, adoption, and benefit tracking.
- Provide management insights and support monthly and quarterly reviews using trusted data.
Education 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 owning enterprise-scale solutions in the listed transformation and technology areas.
- Automotive, dealer operations, CRM/lead management, automotive finance, financial services, or enterprise transformation experience is strongly preferred.
Technical capabilities
- Mandatory capabilities include Power BI, DAX/analytical modelling, SQL/SQL Server, dashboard architecture, KPI design, data modelling, APIs, integration architecture, data pipelines, ETL/ELT, data quality, Microsoft 365, Power Platform, Power Automate, SharePoint, and Azure ecosystem familiarity.
- Preferred technologies include Microsoft Fabric, Azure Data Services, Azure OpenAI/AI, AI Document Intelligence, LLM integration, Python, machine learning, CI/CD, DevOps, containerization, and data warehouse/lakehouse.
- Salesforce, SAP, CRM, DMS, and LMS integration experience and familiarity with Nissan systems such as Dragon are preferred.
- C#/.NET or equivalent enterprise development, web/API architecture, and enterprise application design are highly desirable.
Business and language skills
- Business understanding, commercial awareness, technical translation, executive communication, stakeholder management, project leadership, structured problem-solving, vendor management, change management, and user adoption skills are sought.
- Excellent spoken and written English is mandatory; Arabic is preferred but not mandatory.
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