Asset Management Senior Engineer

GSK•Marietta, NC

7d•Onsite

About The Position

The Asset Management Senior Engineer role is an engineering position within a state-of-the-art manufacturing environment. The operational asset management specialist plays a key role in helping manufacturing sites reliably deliver products to patients by improving how physical assets are managed and operated. Working closely with site teams, this role supports the deployment of asset management standards across work management, operational reliability and reliability by design, calibration management, and engineering store management. The contribution increases asset availability, reduces operational losses, and embeds compliant, data-driven ways of working. Through hands-on collaboration at site level and effective use of EAM systems and digital tools, this role enables sites to secure service to patients, improves cost management and asset usage while maintaining the highest standards of Quality, EHS, and GMP compliance. This role is practical and impact-focused, helping to turn standards into daily operational practices that create measurable and sustainable value for the business. Each specialist is expected to master a combination of 2 of the first 4 domains and bring a demonstrated level of competencies in the 4th level, supporting their primary 2 specialties.

Requirements

Bachelor’s degree in mechanical, Electrical, Automation or Chemical Engineering
Orange Belt
5+ years' experience working in a highly regulated Good Manufacturing Practices (GMP) environment
Experience leading facility equipment programs and leading maintenance teams
Experience with machines, production lines, and working in highly regulated environments such as pharma, healthcare, food, cosmetics, or aeronautics.

Nice To Haves

Masters degree in mechanical, Electrical, Automation or Chemical Engineering
5+ years of experience in the pharmaceutical industry
Green Belt
Leadership experience in coaching and collaborative working
Familiarity with manufacturing regulatory requirements
Strong written and verbal communications skills
Ability to influence at all levels
Proven ability to manage diverse stakeholder groups, including Senior Management.
Master of Engineering (Global Maintenance & Reliability preferred or demonstrated experience)
Networking, influencing, analytical thinking, and strong communication abilities.
Using Python is a plus.

Responsibilities

Master asset reliability standards: FMECA, RCM, RAMS, Preventive maintenance effectiveness review, preventive maintenance optimization, root cause analysis, bad actor management, and criticality management.
Have a good knowledge of supportive EHS tools including Hazid, Hazop and LOA.
Use EAM data (SAP ECC, S/4HANA, …) to drive improvements.
Optimize reliability strategies reducing failure rate, and optimization costs.
Oversight GMP and EHS compliance across sites and support implementation of actions.
Work hands-on with site teams to convert reliability analysis into sustained actions.
Leverage digital solutions (ex. Python) to improve diagnostics and decision-making.
Use cross sites scorecards to enable benchmarking across sites.
Animate the reliability engineering COP, ensuring consistent development of site engineers.
Master end-to-end work management processes: gatekeeping, planning, scheduling, preparation, execution, and work order closure.
Ensure consistent/quality CMMS data to enable effective planning and execution.
Support sites in improving daily maintenance execution, reducing emergency work, backlog, and asset impact, with strong collaboration with the GPS team.
Promote disciplined use paperless tools, in compliance with data integrity requirements.
Drive measurable improvements in asset availability, productivity, and cost efficiency through better work management practices, cross site scorecard.
Animate the work management CoP, ensuring consistence development of site engineers.
Master calibration management processes from regulatory requirements to execution and audit readiness, ensuring coherence between calibration specifications, process requirements, and maintenance plans.
Structure and maintain calibration data in SAP/EAM (assets, plans, cycles, tolerances, priorities) with strong data integrity.
Work closely with the CMMS groups to ensure consistency across systems and get the data needed to drive continuous improvement.
Identify opportunities to optimize calibration strategies based on risk, performance, and regulatory expectations, delivering data driven calibration optimization insights.
Work closely with Quality, Engineering, and Maintenance teams to ensure compliant and efficient calibration execution.
Contribute to the reliability governance as lead to animate the calibration community of practices.
Use digital tools and AI to enable metrics and insights, accelerating decision making & simplification of data analysis, consistency across all manufacturing groups.
Master engineering stores and spare parts management processes, including critical spares, stock strategies, and obsolescence management.
Align CMMS equipment structures, BOMs, spare parts, and maintenance plans.
Optimize inventory levels, cash exposure, and risk while increasing parts availability.
Link reliability analysis with spare parts strategies to reduce MTTR, prevent failures.
Use CMSS data and digital tools (AI, Python, etc.) to deliver insights driving actions.
Animate engineering stores COP driving continuous improvement and capabilities development across all sites.
Use scorecards & insights to drive cross site benchmarks.
Acted as a single point of contact for site Engineering teams and operational leads in his field of specialties.
Leverage GSK production system to eliminate waste and failures, improve continuously.
Built relationships with sites, service providers or stakeholders aligned with objectives.
Contribute to translating Business processes into functional requirements, working closely with the operational engineering system director.
Ensuring reporting tool supports business needs in his field of competency.
Regularly assess tool features against enterprise needs.
Ability to manipulate databases and use SQL to query data.
Using Python is a plus.