先端エレクトロニクスの世界で、次の飛躍 ‘Next Leap’ を実現しませんか?
急速に変化するテクノロジーとコネクティビティの分野で、成功への原動力となる課題解決に挑戦しませんか?あなたの発想力、熱意、そして問題解決力で、エレクトロニクスのさらなる飛躍を形にしましょう。
Qnityは、先端エレクトロニクスやハイテク産業向けの材料・ソリューションを提供するグローバルリーダーです。しかし、私たちの強みは製品だけではありません。新しい可能性に挑戦し続け、常にチャレンジを楽しむ結束力のある仲間が集まっています。すべてのメンバーが、最先端技術の実現に貢献しています。
Qnityは、未来を見据えて挑戦する人、既成概念を打ち破る人、そして多様な視点を歓迎します。なぜなら、私たちは世界の進歩を加速させる重要な役割を担っているからです。Qnityで、あなたのキャリアをスタートさせる、または次のステージへ進めるチャンスを見つけてください。
Key Responsibilities
- Serve as the primary SME for manufacturing master data across the organization.
- Act as the organization's global expert on the end-to-end relationship between manufacturing master data and supply planning outcomes.
- Advise manufacturing sites on the proper design and maintenance of:
- Bills of Materials (BOMs)
- Master Recipes
- Workcenters
- Production Versions (PVs)
- Phase-to-Phase Relationships
- Provide guidance on manufacturing process modeling best practices, considering downstream impacts to planning, scheduling, execution, inventory, and costing.
- Define, maintain, and govern standards for BOMs, Recipes/Routings, Work Centers, Production Versions, and related manufacturing data.
- Develop and implement audit processes to monitor data quality, compliance, accuracy, and consistency.
- Partner with manufacturing sites and business teams to resolve master data issues and support process improvementsplanning, scheduling and execution issues caused by inaccurate or inconsistent manufacturing data structures.
- Support root cause analysis and corrective actions for data-related issues impacting production, inventory accuracy, costing, planning andscheduling, or reporting.
- Lead investigations and resolution of issues involving unexpected planning behavior, incorrect capacity loads, production version selection issues, component shortages, and inaccurate consumption patterns.
- Collaborate with operations and technical teams to ensure manufacturing master data accurately reflects plant processes and business requirements.
- Drive manufacturing data standardization and continuous improvement initiatives across sites.
- Develop and deliver training, documentation, and best practices to strengthen manufacturing data management capabilities.
- Monitor key manufacturing data quality and performance metrics and identify opportunities for improvement.
Required Qualifications
- Bachelor's degree in Engineering, Manufacturing, Supply Chain, Operations, or related field.
- 7+ years of manufacturing experience.
- Strong hands‑on experience with:
- Bills of Materials (BOMs)
- Recipes/Routings
- Work Centers
- Production Versions
- Phase-to-Phase Relationships
- Experience with SAP PP, PP‑PI, S/4HANA, or similar ERP systems.
- Advanced analytical skills with proven experience evaluating large manufacturing datasets, including data extraction, analysis, validation, and reconciliation of defects.
- Strong understanding of manufacturing processes, production execution, and master data management.
- Strong understanding of how manufacturing master data drives planning and scheduling.
- Experience developing data standards, governance processes, audits, or process improvement initiatives.
- Strong analytical, problem‑solving, and stakeholder management skills.
Preferred Qualifications
- Experience in multi‑site or global manufacturing environments.
- Experience with SAP Master Data Governance (MDG).
- Experience supporting manufacturing data governance, standardization, or transformation initiatives.
- Experience with OMP, APO, IBP, Kinaxis, Blue Yonder, or comparable advanced planning systems.
- Experience developing training materials, SOPs, and business process documentation.
タレントコミュニティに参加して、情報を入手しましょう。 https://careers.qnityelectronics.com/jp/ja/jointalentcommunity
Qnityは雇用機会の均等を重視しています。応募者は、人種、肌の色、宗教、信条、性別、性的指向、ジェンダー アイデンティティ、婚姻状況、出身国、年齢、退役軍人のステータス、身体障害、またはその他の保護の対象となるクラスに関係なく選考されます。ポジションの検索または応募のために合理的配慮が必要な場合は、当社の Accessibility Page (アクセシビリティ ページ)にある連絡先情報をご確認ください http://www.qnityelectronics/accessibility.html
Qnityは包括的な給与および福利厚生のパッケージを提供しています。詳しくは、報酬と福利厚生のページをご確認ください https://careers.qnityelectronics.com/jp/ja/compensation-and-benefits-final
私たちは採用プロセスを向上させるために人工知能(AI)を使用しています。