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Global Commercial Data & Insights Leader

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: Qnity Electronics, Inc.
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, CRM Systems & Management
  • Business
    Data Analyst, Business Intelligence, CRM Systems & Management
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

첨단 전자 산업의 다음 도약을 이끌 준비가 되셨나요? 빠르게 진화하는 기술과 연결의 시대, 성공을 이끄는 문제 해결에 함께 하길 원하신다면 Qnity 에서 당신의 문제 해결 능력, 열정과 창의력으로 전자산업의 다음 도약을 함께 만들어 가세요.

Qnity 는 첨단 전자 및 하이테크 산업을 위한 글로벌 선도 소재 솔루션 리더이자, 새로운 가능성에 도전하고 함께 성장하는 팀입니다. 우리는 기술의 한계를 넓히고, 최첨단 기술을 현실로 만드는데 기여하고 있습니다. 미래를 앞서 생각하고 경계를 넘는 도전자, 그리고 다양한 시각을 가진 당신을 기다립니다. 세상을 더 빠르게 연결하는데 중요한 역할을 하는 Qnity 에서 당신의 커리어를 시작하고 도약하세요.

Key Responsibilities 1. Customer Definitions & Customer 360 Strategy
  • Own the enterprise strategy for how the company defines and views its customers across transactional relationships and hierarchical structures. Articulate what each dimension means, its business relevance, and how it should inform commercial decisions.
  • Own customer profile definitions, including transacting type (direct, distributor, and other sell-to classifications), parent entities, customer groups such as OEM, and other elements needed for effective customer management. Ensure each is clearly defined and correctly positioned within the overall taxonomy.
  • Own the customer segmentation framework and assignment process, ensuring classifications use clear criteria, are applied consistently, and remain accurate as customer relationships evolve.
  • Establish governance policies, decision rights, and escalation paths for customer definitions and segmentation.
  • Maintain and prioritize a multi-year commercial data and insights roadmap that aligns business strategy, governance, reporting investments, and technology capabilities.
2. Customer Data Standards & Data Quality
  • Serve as business owner for customer data standards across commercial systems, ensuring consistent application of account hierarchies, segmentation, classifications, and governance policies.
  • Ensure customer profile elements are accurately embedded and consistently applied across SAP, Salesforce, and other relevant systems in partnership with system owners and data custodians.
  • Maintain alignment across systems and resolve profile-related conflicts that could undermine data integrity or reporting accuracy.
  • Establish ongoing measurement of customer profile data quality, including quality dimensions, thresholds, KPIs, and monitoring and reporting mechanisms.
3. Customer & Commercial Reporting
  • Serve as the primary commercial representative for strategic customer reporting and insight initiatives across the enterprise.
  • Identify needs for new or revised customer and commercial reports and align reporting investments with business strategy and enterprise objectives.
  • Ensure customer definitions are reflected correctly in reports and dashboards, working with Commercial Analytics and IT.
  • Lead or co-lead the Commercial Reporting Governing Body, ensuring reports are built, certified, maintained in a streamlined repository, and retired when appropriate.
  • Structure and maintain customer profile elements to support growth analysis, market opportunity assessment, and advanced commercial analytics.
4. Governance Leadership, Value Realization & AI Enablement
  • Lead or co-lead the Customer Data Excellence initiative, contributing customer data governance and commercial insight expertise to cross-functional work streams and program planning.
  • Prioritize Customer Data Excellence initiative activities and deliverables against the use cases defined in the program roadmap.
  • Lead or co-lead the Commercial Data Governance Council to align customer definitions, commercial KPIs, data standards, issue resolution, and strategic data investments.
  • Partner with business leaders to establish and track value realization metrics for customer data, reporting, and analytics investments, including growth, customer engagement, sales productivity, forecast accuracy, and decision quality.
  • Ensure customer profile data is AI-ready, with governed and certified definitions,…
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