Parts and Service Dealer, Marketing, and eComm Analytics

The Manager – Dealer, Field, Marketing & eCommerce Analytics will lead the data sourcing, business intelligence, and advanced analytics capabilities supporting Mopar dealer and field operations, marketing, and eCommerce. The role will manage a multidisciplinary team of Business Analysts, Reporting Analysts, and Data Scientists responsible for delivering governed data products, intuitive reporting solutions, and decision-ready insights. This leader will establish priorities and standards and partner with business stakeholders to ensure analytical products improve commercial performance, customer engagement, dealer effectiveness, and operational execution.

Key Responsibilities:

• Team leadership: Lead, coach, and develop Business Analysts, Reporting Analysts, and Data Scientists; establish clear accountabilities, performance expectations, development plans, and collaborative ways of working.
• Business partnership: Serve as the primary analytics partner for functional leaders, translating strategic priorities and operational challenges into data, reporting, and advanced-analytics initiatives with clear outcomes.
• Data-source and product oversight: Ensure the team identifies authoritative sources, documents ownership and business rules, defines reusable datasets, and partners with data engineering and ICT to build trusted, scalable data products.
• Business intelligence leadership: Set standards for dashboards, KPIs, semantic models, recurring reporting, visualization, certification, access, performance, and user experience across the supported functions.
• Advanced analytics leadership: Guide opportunity sizing, forecasting, segmentation, experimentation, predictive modeling, optimization, and AI use cases; ensure appropriate validation, interpretation, monitoring, and responsible use.
• Governance and quality: Establish controls for metric definitions, data quality, lineage, documentation, security, model governance, and release readiness; drive timely resolution and prevention of recurring issues.
• Portfolio and delivery management: Manage demand intake, prioritization, capacity, dependencies, delivery plans, risks, and stakeholder communications using Agile or comparable practices.
• Continuous improvement: Simplify manual processes, promote reusable methods and automation, evaluate emerging tools, and strengthen analytical capabilities across the organization.