Business Intelligence Leader

Dana IncorporatedMaumee, OH
7d

About The Position

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.Job PurposeThe Leader of Business Intelligence Aftermarket leads the global strategy for how data, analytics, and market insights are used to guide commercial decisions across the Aftermarket organization. This role works closely with regional Aftermarket leaders to ensure business intelligence strategies are consistently applied worldwide while allowing for the right level of local customization. By aligning global standards with regional market needs, this leader ensures that data-driven insights translate into practical, regionally relevant actions that support profitable growth and strengthen Dana’s competitive position across all markets.

Requirements

  • Bachelor’s degree required (Business, Finance, Economics, Data/Analytics, Engineering, or related).
  • 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 modeling, data visualization and reporting automation.
  • Expert in value-based, competitive, and elasticity-driven pricing with strong command of pricing governance, controls, architecture, and margin optimization.
  • Skilled at translating market, financial, lifecycle, and customer insights into portfolio decisions with a clear understanding of how category roadmaps align with product planning and commercial execution.
  • Strong decision maker, and communicator who uses fact‑based judgment, balances global and regional needs, and tailors communication to executives, regional leaders, and technical teams
  • Strategic, influential leader who defines long‑term BI vision, translates complex data into clear insights, and influences senior stakeholders without direct authority.

Nice To Haves

  • 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.
  • Direct familiarity with analytics tools (e.g., Power BI, Tableau, SQL, Python/R) is a plus, but the priority is the ability to direct and interpret analyses, not perform them individually.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
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