Digital Engineer, Vaccine Business Unit

By clicking the Apply button I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takedas Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

OBJECTIVES/PURPOSE

デジタル自動化システムの安定運用と継続的改善

• 既存のデジタル自動化システムの安定稼働を確保し運用改善や最適化を継続的に実施する 部門横断のデジタルプロジェクト推進とステークホルダー連携強化
• 他部門のデジタル担当者と連携し組織全体のデジタル施策を統合的に推進する デジタルロードマップの策定と実行支援
• 部門ニーズに基づく中長期的なデジタル戦略を策定し現場への浸透と実行を支援する 製造現場データの利活用推進とデータ基盤の強化
• データ収集加工解析の仕組みを整備しデータ可用性向上と価値創出につながる活用を企画推進する データ分析に基づく改善提案と意思決定支援
• 適切な解析ツールを選定適用し得られた知見をマネジメント層や現場へ提言する AI自動化技術を活用した業務改革と価値創出
• 生成AIや自動化技術を活用し業務効率化や意思決定高度化につながる改善活動を主導する デジタルイノベーション文化の醸成と組織スキル向上
• データ可視化AR/VRDigital Twin など先端技術の導入を推進し組織全体のデジタルリテラシー向上とDX加速を支援する データガバナンスと規制遵守の確保
• 規制基準や変更管理に沿ったシステム仕様SOP の整備を支援しデジタル基盤の信頼性を担保する

Ensure stable operation and continuous improvement of digital and automation systems

• Maintain the reliability of existing digital and automation systems while driving ongoing optimization and operational enhancements. Lead cross-functional digital initiatives and strengthen stakeholder collaboration
• Partner with digital representatives across departments to advance integrated digital initiatives and support enterprise-wide alignment. Support the development and execution of the digital roadmap
• Contribute to the creation of mid- to long-term digital strategies based on departmental needs and facilitate their adoption and execution on the shop floor. Promote data utilization and enhance the manufacturing data foundation
• Establish and improve data collection transformation and analytics capabilities to increase data availability and enable value creation. Provide insights and decision support through data analytics
• Select and apply appropriate analytical tools delivering actionable insights and recommendations to management and operational teams. Drive operational improvement and value creation through AI and automation technologies
• Leverage generative AI and automation technologies to enhance operational efficiency and elevate decision-making processes. Foster a culture of digital innovation and enhance organizational capabilities
• Promote the adoption of advanced technologies such as data visualization tools AR/VR and Digital Twin while supporting organization-wide digital literacy and accelerating digital transformation. Ensure data governance and regulatory compliance
• Support the development and revision of system specifications and SOPs in alignment with regulatory requirements and change management processes ensuring the reliability of the digital foundation.

ACCOUNTABILITIES

デジタル自動化システムの活用による運用管理と継続的改善

• オートメーションシステムのSMEとして製造プロセス改善や業務効率化につながる分析提案を行う得られた知見をマネジメント層や現場へ提供する
• システム利用者の管理と必要なトレーニングを提供し運用レベルの維持向上を図る

トラブルシューティングと技術サポート

• 自動化システムに関する一次対応問題解決を行い再発防止策も含めたオンサイトサポートを提供する

デジタルロードマップの策定と実行支援

• 部門ニーズに基づく中長期的なデジタル戦略や新技術導入に向けた計画の策定に参画し現場への展開定着を支援する

データ基盤の整備と製造データ利活用の推進

• データ収集加工解析の仕組みを整備しデータ可用性と品質を向上させる
• 製造現場データを活用したユースケースを企画し水平展開可能なソリューションを設計提案する

デジタルイノベーション文化の醸成とスキル向上支援

• データ可視化AR/VRDigital Twin など先端技術の導入を推進し組織全体のデジタルリテラシー向上を支援する
• 現場技術部門への指導を通じてデータ活用能力の底上げとDX文化の定着を促進する

データガバナンスと規制遵守の確保

• GMPCSVALCOAなどの規制基準に沿ってシステム仕様書SOPの作成改訂を支援する
• データ品質セキュリティ変更管理を適切に運用しデジタル基盤の信頼性を担保する

ステークホルダーマネジメントと部門横断連携

• データデジタルテクノロジーデータサイエンスビジネスエクセレンスなど関連部門と連携しプロジェクトステークホルダーマネジメントを行う
• 組織横断のデジタル施策を統合的に推進し全体最適を実現する

Operational Management and Continuous Improvement through Digital/Automation Systems

• Serve as the SME for automation systems conducting analyses and proposing improvements that enhance manufacturing processes and operational efficiency and providing insights to both management and shop-floor teams.
• Manage system users and deliver necessary training to maintain and elevate operational capability.

Troubleshooting and Technical Support

• Provide first-line response and issue resolution for automation systems including on-site support with preventive measures to avoid recurrence.

Development and Execution of the Digital Roadmap

• Participate in the development of mid- to long-term digital strategies and plans for new technology adoption based on departmental needs and support deployment and adoption on the shop floor.

Enhancement of Data Infrastructure and Promotion of Manufacturing Data Utilization

• Establish and improve mechanisms for data collection transformation and analysis to enhance data availability and quality.
• Develop use cases leveraging manufacturing site data and design scalable solutions for broader deployment.

Fostering a Digital Innovation Culture and Enhancing Organizational Skills

• Promote the adoption of advanced technologies such as data visualization tools AR/VR and Digital Twin supporting the enhancement of digital literacy across the organization.
• Strengthen data utilization capabilities and embed a culture of digital transformation through guidance and hands-on support for manufacturing and technical teams.

Ensuring Data Governance and Regulatory Compliance

• Support the creation and revision of system specifications and SOPs in alignment with regulatory standards such as GMP CSV and ALCOA.
• Ensure the reliability of the digital foundation through proper management of data quality security and change control.

Stakeholder Management and Cross-Functional Collaboration

• Collaborate with related functions such as Data Digital & Technology Data Science and Business Excellence to manage project stakeholders effectively.
• Drive integrated execution of cross-functional digital initiatives to achieve overall organizational optimization.

EDUCATION BEHAVIOURAL COMPETENCIES AND SKILLS:

学歴

• 高卒以上の学歴を有していること
• 製薬関連の経験や工場での勤務経験を有することが望ましい

知識経験

• 数年のテクノロジーマネージメントやプロジェクトマネージメントの経験を有することが望ましい
• 職場での改善実践経験を有するほうが望ましい
• ITシステムやデジタル製品に関連するプロセスの知識
• デジタルツールRPA Power BIPower AutomatePower Appsなどを作成し活用した経験を有することが望ましい
• 情報やアイデアを口頭文書の両面で分かりやすく伝えられるコミュニケーション力を持つ
• 業務状況課題KPIリスクタイムラインを適切に整理しマネジメントへ効果的に報告できる
• 相手の意見に耳を傾け建設的な対話ができる協調性が高い
• 部門横断で円滑に連携し関係者と協力して目標達成に取り組める
• 責任感と主体性を持ち期限前倒しで成果を出す姿勢を持つ
• AIデジタル技術自動化含むに強い関心を持ち生産性向上に情熱を注げる
• 現状に満足せず業務改善や新たな課題に自発的に挑戦できる
• 自己成長意欲が高く新しい知識やスキルを積極的に吸収できる
• 人とのコミュニケーションが好きでチームで成果を生み出すことに喜びを感じられる
• 日本語での読み書きが可能で業務指示や文書を正確に理解できること

Education / experience

• High school diploma or higher diploma.
• Previous experience in the pharmaceutical industry is preferred.
• Several years of experience in technology management and project management is preferred.
• Practical experience in implementing workplace improvements is preferred.
• Strong knowledge of IT systems and processes related to digital products
• Experience in developing and utilizing digital tools (such as RPA Power BI Power Automate and Power Apps) is preferred.

Behavioral Competencies

• Effectively presents information and ideas formally and informally verbally and in writing to others in a manner that facilitates understanding.
• Able to communicate status needs KPIs risks and timelines effectively to management.
• Display a clear willingness to listen to others.
• Has good interperson skills and works interdepartmentally in an effective manner to achieve objectives.
• Shows commitment and dedication and strives to be ahead of schedule.
• Passionate about AI and digital technology including automation to improve productivity and efficiency.
• Never satisfied with the status quo and proactive in pursuing process improvements and new challenges.
• Highly motivated to grow and eager to acquire new knowledge and skills.
• Values effective communication and takes pride in contributing to team-based achievements.
• Proficient in reading and writing Japanese to understand work instructions and documents.

Takeda Compensation and Benefits Summary:

• Allowances: Commutation Housing Overtime Work etc.

• Salary Increase: Annually Bonus Payment: Twice a year

• Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30 Production Sites (Osaka/ Yamaguchi) 8:00-16:45 (Narita) 8:30-17:15 Research Site (Kanagawa) 9:00-17:45

• Holidays: Saturdays Sundays National Holidays May Day Year-End Holidays etc. (approx. 123 days in a year)

• Paid Leaves: Annual Paid Leave Special Paid Leave Sick Leave Family Support Leave Maternity Leave Childcare Leave Family Nursing Leave.

• Flexible Work Styles: Flextime Telework

• Benefits: Social Insurance Retirement and Corporate Pension Employee Stock Ownership Program etc.

Important Notice concerning working conditions:

• It is possible the job scope may change at the companys discretion.

• It is possible the department and workplace may change at the companys discretion.

• Fixed-term contracts may be renewed after the end of the contract period based on the workload and employee performance. The total contract duration shall not exceed 5 years.

Locations

Worker Type

Worker Sub-Type

Time Type