SR MANAGER, HVM PHOTO PH PREQ

主な業務内容

FEOL/CELLエンジニアリングチームのマネジメント、人材育成、コーチングを通じた組織運営プロセス管理、データ分析、問題解決手法を活用したプロセス性能向上および継続的な歩留まり改善の推進プロセス異常の迅速な検知、影響範囲の特定、および課題解決のリードProcess Integration、Production、AME、IE、Quality、およびグローバルチームと連携したプロセス課題への対応と技術開発の推進次世代製品の導入、技術移管、認定評価、および量産立ち上げ活動の支援プロセス能力向上、製造効率改善、サイクルタイム短縮、コスト最適化に向けた継続的改善活動の推進長期的な事業目標達成に向けた、持続可能な製造体制およびプロセス管理システムの構築説明責任、協働、イノベーション、技術力、実行力を重視する組織文化の醸成AI、先進的なデータ分析技術、およびデジタルマニュファクチャリングソリューションを活用したプロセス能力向上、歩留まり改善、異常管理、および意思決定の高度化AI活用ツールおよびデータドリブンな手法の導入推進による原因分析の迅速化、生産性向上、および継続的改善活動の推進ポジションのミッションFEOL/CELL領域におけるプロセス改善をリードし、歩留まり向上、プロセス安定化、迅速な技術開発の実行を通じて、次世代製品の成功およびFab15 Maxout目標の達成に貢献していただきます。====================================================The Process M2 Manager is responsible for leading the Fab15 FEOL/CELL organization to achieve world-class manufacturing performance in Safety, Quality, Cost, Yield, and Technology Execution. This role provides technical and organizational leadership for FEOL/CELL process engineering activities, driving process capability, yield improvement, product performance, and execution of next-generation technology objectives.Key Responsibilities:• Lead and develop the FEOL/CELL engineering team through effective people management, coaching, and talent development.• Drive process performance and continuous yield improvement through strong process control, data analysis, and problem-solving methodologies.• Lead rapid identification, containment, and resolution of process excursions to ensure manufacturing stability and product quality.• Partner with Process Integration, Production, AME, IE, Quality, and global organizations to address process challenges and accelerate technology execution.• Support next-generation product introduction, technology transfer, qualification, and manufacturing ramp activities.• Lead continuous improvement initiatives focused on process capability, manufacturing efficiency, cycle time reduction, and cost optimization.• Ensure robust process control systems and sustainable manufacturing solutions to support long-term business objectives.• Establish a culture of accountability, collaboration, innovation, technical excellence, and execution discipline.• Leverage AI, advanced analytics, and digital manufacturing solutions to improve process capability, yield performance, excursion management, and decision-making.• Drive adoption of AI-enabled tools and data-driven methodologies to accelerate root cause analysis, improve productivity, and support continuous improvement initiatives.