Business Intelligence Leader

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Dana is a global leader in the supply of highly engineered driveline, sealing, and thermal-management technologies that improve the efficiency and performance of vehicles with both conventional and alternative-energy powertrains. Serving two primary markets – passenger vehicle and commercial truck – Dana provides the world’s original-equipment manufacturers and the aftermarket with local product and service support through a network of nearly 100 engineering, manufacturing, and distribution facilities.

Enterprise Business Intelligence & Commercial Strategy

• Define and execute the Aftermarket Business Intelligence vision and roadmap, aligning analytics, insights, and governance with enterprise commercial objectives.
• Serve as a trusted strategic advisor to senior Aftermarket leadership, providing fact‑based insights and recommendations supporting AOP, long‑range planning, and investment decisions.
• Establish consistent intelligence, reporting, and insight standards across Pricing, Content, Category Management, and Analytics teams.

Pricing Leadership Oversight

• Provide strategic oversight and direction to ensure pricing strategies are analytically grounded, market‑responsive, and margin accretive.
• Ensure pricing governance, policies, and performance measurement are aligned with broader Business Intelligence and financial objectives.
• Review and challenge pricing recommendations, scenarios, and outcomes to drive continuous improvement in pricing effectiveness.

Category Management Leadership

• Oversee Category Management strategy, ensuring portfolio decisions are driven by market data, customer demand, lifecycle management, and profitability insights.
• Ensure category roadmaps align with pricing architecture, product planning, and commercial priorities.
• Enable fact‑based trade-off decisions related to assortment complexity, investment prioritization, and category performance.
• Provide leadership oversight for content functions, ensuring product data, attributes, and digital content support customer experience, pricing execution, and channel effectiveness.
• Ensure accuracy, consistency, and governance of product information across internal systems and customer‑facing platforms.
• Leverage data and insights to continuously improve content quality and commercial impact.
• Provide directional leadership to the Data Analytics team, setting priorities and expectations for insight delivery, analytics rigor, and business impact.
• Partner closely with Analytics leadership to embed advanced analytics, reporting automation, and decision‑support tools across commercial functions.
• Champion data literacy, self‑service analytics, and insight-driven decision‑making across the Aftermarket organization.

Cross‑Functional Leadership & Influence

• Collaborate closely with Sales, Finance, Product Planning, IT, Operations, and Regional Aftermarket Leaders to align insights with execution.
• Lead change management efforts related to analytics maturity, system enablement, and process standardization.
• Influence senior stakeholders without direct authority to drive enterprise outcomes.

• Bachelor’s degree required (Business, Finance, Economics, Data/Analytics, Engineering, or related).
• MBA or Master’s in Analytics, Business Intelligence, or Strategy strongly preferred.
• Professional certifications (e.g., pricing, analytics, data governance) are advantageous but not required.
• 15+ years of progressive experience in Aftermarket, Automotive, Industrial, or related durable goods industries.
• Strong familiarity with Aftermarket commercial models, distributor dynamics, pricing strategies, catalog/content requirements, and product lifecycle behaviors.
• Experience designing global BI frameworks with regional/local adaptation.
• Demonstrated experience leading multiple commercial or analytical functions with measurable financial and strategic impact.
• Proven ability to lead senior managers and influence indirect teams across matrixed organizations.

• Strong expertise in:
  Pricing analytics, market segmentation, product portfolio analysis, opportunity…