Director, Manufacturing Data

ASTRAZENECA UK LIMITED; Macclesfield; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading pharmaceutical company is seeking a qualified individual to manage the end-to-end lifecycle of OT, Process, and Asset data standards. This role requires proven experience in overseeing digital project delivery and managing cross-functional teams in a manufacturing environment. The ideal candidate will have a Master’s Degree in Engineering or IT, along with strong strategic planning skills and familiarity with pharmaceutical manufacturing processes. This position offers a dynamic opportunity to contribute to global operations.

Qualifications

• Proven experience with OT data including SCADA, DCS, PLCs.
• Ability to lead cross-functional teams effectively.
• Experience managing large-scale transformation projects.

Responsibilities

• Own the end-to-end lifecycle of OT, Process and Asset data standards.
• Deliver data products working with multiple teams.
• Align operations with data transformation goals.

Skills

Data and OT Expertise

Leadership and Team Management

Digital Project Delivery and Delivery Management

Strategic Planning and Integration

Pharmaceutical Manufacturing Experience

Education

Master's Degree in Engineering, IT or other relevant field

Job description

Job Overview

Within this role you will own the end-to-end lifecycle of OT, Process and Asset data standards and data products, working hand-in-hand with the Operations Data Office, Operations IT, PT&D and Manufacturing Technology Solutions (MTS) teams to deliver for global operations.

Requirements and Qualifications

• Data and OT Expertise: Proven experience with OT data (e.g., SCADA, DCS, PLCs, historians), Process data (e.g., recipe data, batch/continuous parameters, quality metrics) and Asset data (e.g., asset hierarchy, maintenance data).
• Leadership and Team Management: Ability to lead cross-functional teams, experience working with OpsIT, Operations Data Office, PT&D, TOSI and MTS.
• Digital Project Delivery and Delivery Management: Experience managing large-scale transformation projects and proven delivery of data standards in a manufacturing environment, ensuring timely and budget-conscious delivery.
• Strategic Planning and Integration: Strong strategic planning skills to align operations with data transformation goals, including integrating data product delivery with Operations IT.
• Pharmaceutical Manufacturing Experience: Familiarity with pharmaceutical manufacturing processes and proven experience in a manufacturing environment.
• Master's Degree in Engineering, IT or other relevant field (or equivalent experience).

Desirable Requirements

• AI/ML and Digital Technologies: Exposure to AI, Machine Learning Applications.
• Experience with Autonomous Technologies: Experience with process digital twin applications and deployment of Autonomous technologies in a pharmaceutical environment.
• Change and Vendor Management: Experience in change management and managing vendor relationships for data products and data standards.
• Cybersecurity and Agile Methodologies: Knowledge of cyber security guidelines in OT environments and familiarity with Agile methodologies.
• Certifications and UX Design: Relevant certifications (e.g., PMP, Six Sigma) and understanding of UX/UI principles for user-centered digital products.