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Dealer Audit plays a critical role in safeguarding the integrity of GM dealer operations and providing assurance over funding that supports strategic market initiatives and warranty obligations. We are seeking a highly motivated, experienced technical lead to develop and evolve Dealer Audit’s risk assessment capabilities, enabling a strategic, data‑driven audit plan and delivering actionable insights to the business. This role requires strong operational agility and strategic thinking: identifying and anticipating emerging risks, consolidating and interpreting complex data sets, making sound recommendations, aligning diverse stakeholders, and continuously learning and adapting. Success depends on building trusted relationships with GM partners and the dealer network while advancing the One GMAS culture.
Job Responsibility:
Own the design, refinement, and governance of Dealer Audit’s quantitative risk-scoring and monitoring framework, integrating multiple data sources to prioritize dealers and programs for audit coverage
Serve as the functional analytics and AI leader for Dealer Audit, setting the vision and roadmap for data, dashboards, and advanced analytics (including AI) that enable scalable, technology-enabled audit execution
Act as product owner for key Dealer Audit analytics assets (e.g., Audit Results and QAR dashboards, risk dashboards), ensuring they meet the needs of leadership and auditors
Lead advanced data analytics to develop the annual Dealer Audit Risk Assessment, global audit plan, and Continuous Business Monitoring
Hands on ownership of risk logic from data ingestion through audit selection and execution, not limited to analytics support or dashboard consumption
Identify and evaluate key risk drivers across dealer operations to ensure audit coverage is focused on the highest-impact risks
Assess and enhance risk-model effectiveness through audit outcome analysis, root-cause analysis, and validation of risk indicators
Partner with GM IT and analytics teams to refine, calibrate, and expand risk metrics, with a focus on preventative and pre-validation initiatives
Support additional projects and strategic initiatives as assigned
Champion the adoption of data analytics and AI within Dealer Audit, including coaching auditors, representing the service line in GMAS data/AI initiatives, and partnering with training teams to build capabilities
Influence commercial and operational policies by building trust and credibility through objective, data-based audit insights
Build strong cross-functional partnerships with GMAS Data Analytics, Policy, IT, and business stakeholders to detect emerging risks, validate assumptions, and define data needs
Integrate new data sources (e.g., RAD, Dealer Financials) and continuously refresh DRMO risk indicators
Serve as a trusted connector and ambassador for One GMAS, promoting collaboration, innovation, and enterprise-wide risk awareness
Requirements:
Bachelor's degree in Business, Computer Science, Data Analytics, or a related field
5+ years of manufacturer-side dealership operations experience (e.g., GM or other OEMs), with deep, practical knowledge of dealer sales incentive, fleet and retail operations, including the ability to assess program design, identify control gaps, and quantify financial exposure
Knowledge of GM systems and dealer reporting platforms (e.g., RAD, Dealer Financials) or comparable enterprise systems
Demonstrated expert-level Excel capability, including advanced Power Query (M) for large-scale data transformation, automation, and audit production workflows
Experience with risk modeling, metric validation, calibration, and root-cause analysis
Exceptional ability to synthesize complex, imperfect data into clear, audience-specific summaries for auditors, managers, and senior leadership
Ability to operate at high speed in a production audit environment, managing multiple concurrent workstreams with strict delivery timelines
Demonstrated ability to rapidly switch between technical execution
Nice to have:
Hands-on experience in dealer audits and sales incentive program risk management, with a proven ability to translate field realities and program design into actionable audit insights
Professional certification such as PMP, CIA, CISA, or equivalent (completed or in progress)