Section Manager Digital Transformation

Role overview

Digital transformation and BI

• Own the prioritized transformation roadmap and backlog; redesign workflows and coordinate solutions such as dealer assessment, DND tracking, training tools, approvals, and reporting automation.
• Evaluate vendor proposals, architecture, scalability, integration, security, effort, and total cost of ownership; measure realized business benefits.
• Evolve the Sales Performance Dashboard into an integrated performance-management environment and establish Power BI architecture, data models, workspaces, deployment, refresh, and adoption controls.
• Define KPI standards and build executive, functional, dealer, and operational views with drill-downs, comparisons, alerts, and action tracking.

Integration, delivery, and AI

• Map systems, interfaces, data flows, ownership, and dependencies across approved enterprise platforms; define integration priorities, API requirements, data mappings, business rules, refresh, security, and monitoring.
• Coordinate feasibility with Local IT, Regional IS/IT, and platform owners; support approved data pipelines, middleware, and warehouse/lakehouse requirements.
• Lead workshops and translate business needs into requirements, specifications, user stories, and acceptance criteria; coordinate design through testing, UAT, go-live, and stabilization.
• Develop a governed AI roadmap and prioritize measurable use cases; coordinate approved Copilot and AI-enabled productivity use with appropriate security, privacy, human oversight, and adoption controls.
• Coordinate cross-functional delivery, change management, user readiness, training, adoption, benefit tracking, continuous improvement, and management insights.

Functional analytics and governance

• Develop analytics for sales performance, lead quality and conversion, dealer network coverage and expansion, and training completion and competency.
• Establish data ownership, authoritative sources, KPI definitions, refresh, quality, access, security, retention, and lineage; maintain governance dictionaries, maps, matrices, and frameworks.
• Work within Nissan/NKSA architecture and cybersecurity governance, including role-based access, credential handling, audit logging, backup/recovery, and privacy-by-design.
• Coordinate resolution of data-quality and reconciliation issues, prevent uncontrolled integrations, and maintain dependency and risk tracking.

Education and experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Information Technology, Data Science, Business Analytics, Computer Engineering, or equivalent.
• Minimum eight years of relevant professional experience; enterprise-scale solution ownership across digital transformation, enterprise software, BI/data, integration, automation, AI, or solution delivery is preferred.
• Automotive, dealer operations, CRM/lead management, automotive finance, financial services, or enterprise transformation experience is strongly preferred.

Technical capabilities

• Mandatory: Power BI, DAX/analytical modelling, SQL/SQL Server, dashboard architecture, KPI design, data modelling, REST APIs/web services, integration architecture, data pipelines, ETL/ELT concepts, and data quality.
• Mandatory: Microsoft 365, Power Platform, Power Automate, SharePoint, and Azure ecosystem familiarity.
• Preferred: Microsoft Fabric, Azure Data Services, Azure OpenAI/AI, AI Document Intelligence, LLM integration, Python, machine learning, CI/CD, DevOps, containerization, data warehouse/lakehouse, and Salesforce/SAP/CRM/DMS/LMS integration.

Business competencies

• Business understanding, commercial awareness, translating business needs into technical design, executive communication, stakeholder management, project leadership, structured problem solving, vendor management, change management, and user adoption.