Parts and Service Sales Forecasting and Service Contracts Analytics

The Manager – Sales Forecasting & Service Contracts Analytics will lead the analytical capabilities that support Mopar North America revenue planning and service contract performance. The role will own the development, governance, and communication of sales revenue forecasts while providing decision-ready analysis across the Service Contracts business to strengthen growth, profitability, retention, and operational performance.

The Manager will lead a multidisciplinary team that includes Business Analysts, Reporting Analysts, and Data Scientists, integrating data preparation, business intelligence, advanced analytics, and forecasting into a coordinated operating model. The role will partner closely with Sales, Service Contracts, Finance, ICT, and other functions to translate complex data into clear outlooks, risks, opportunities, and recommended actions. This content is based on the existing Manager Sales Forecasting Portfolio Analytics_08.2026.docx role and revised to replace Portfolio Analytics ownership with Service Contracts Analytics ownership. [Manager Sa...cs_08.2026 | Word]

Key Responsibilities:

• Sales revenue forecasting: Own recurring short- and long-range revenue forecasts for Mopar Parts & Services, including forecast methodology, assumptions, scenarios, risks, opportunities, performance tracking, and executive communication; ensure forecasts are timely, transparent, appropriately governed, and increasingly accurate.
• Service contracts analytics: Guide reporting and analysis across contract sales, penetration, product mix, pricing, revenue, profitability, claims experience, cancellations, renewals, retention, dealer and channel performance, and forecasting.
• Forecast governance: Establish consistent definitions, calendars, processes, controls, and documentation; reconcile forecasts to actual results and approved financial plans; lead variance, accuracy, bias, and root-cause analysis.
• Multidisciplinary team leadership: Lead, coach, and develop Business Analysts, Reporting Analysts, Data Scientists, and related analytical talent; set clear priorities, match disciplines to business problems, and create integrated delivery plans.
• Analytical solution delivery: Guide the team in building governed datasets, dashboards, and decision-support tools that integrate revenue forecasts, service contract performance, financial plans, and key business drivers to provide a consistent view of outlook, risks, and opportunities.
• Insight translation: Convert complex analysis into concise business implications, quantified opportunities, recommended actions, and executive-ready narratives for leadership and operational stakeholders.
• Data quality and governance: Ensure forecasts, metrics, models, and reporting products use trusted data, approved definitions, documented logic, appropriate access controls, and repeatable validation processes.
• Continuous improvement: Improve forecast accuracy, analytical speed, automation, usability, and adoption; reduce manual work and redundant reporting while advancing modern analytics, machine learning, and AI where they create measurable value.