Sr Associate Digital Mfg I

Amgen•Holly Springs, NC

About The Position

Join Amgen’s forward-thinking team driving the adoption of smart manufacturing technologies and digital transformation initiatives within the plant. In this role, you will improve floor operations and support business leadership through advanced data analytics, AI, and automation. You will own critical processes and design digital solutions that improve operational performance, helping advance Amgen North Carolina’s digital maturity and enable a smarter, more connected, data-driven manufacturing future. You will identify improvement opportunities and build digital tools for manufacturing operations; develop site-level data structures and architecture for analytics, modeling, and big data initiatives; and build predictive models and actionable insights to optimize plant performance. You will integrate AI and predictive analytics, align smart technologies and enterprise systems such as MES and ERP with manufacturing processes and business goals, and support the prioritization, approval, and execution of digital projects. You will also analyze and visualize manufacturing performance data, collaborate with global digital teams and other sites, and prepare business cases for digital investments. The role requires engineering or computer science education and work experience. Preferred qualifications include programming or scripting experience, data modeling and analytics skills, knowledge of manufacturing processes and lean principles, and the ability to work effectively across technical, operational, and leadership teams in a fast-paced manufacturing environment.

Requirements

One of the following: high school diploma/GED and 4 years of engineering or computer science work experience; associate degree and 2 years of engineering or computer science work experience; bachelor’s degree and 6 months of engineering or computer science work experience; or master’s degree.
Experience with command-line programming or scripting using one or more languages such as Python, C, C++, Java, or similar.
Strong understanding of data structures and ability to build analytical models that generate actionable insights.
Ability to present data-driven insights and metrics to leadership and foster cross-functional collaboration.
Knowledge of manufacturing processes and ability to translate business needs into functional and technical system requirements.
Commitment to operational excellence, continuous improvement, and lean manufacturing principles such as Kaizen.
Ability to perform effectively in fast-paced manufacturing environments and resolve issues rapidly to support production continuity.
Excellent collaboration and communication skills across technical, operational, and leadership levels.
Proactive, results-driven approach and ability to manage multiple priorities and meet project timelines.

Nice To Haves

Command-line programming or scripting experience using Python, C, C++, Java, or a similar language.
Knowledge of lean manufacturing principles such as Kaizen.

Responsibilities

Identify manufacturing improvement opportunities and build digital tools to enhance productivity.
Lead implementation of robust site-level data structures and architecture to support advanced analytics, modeling, and big data initiatives.
Build predictive models and generate actionable insights to optimize plant performance.
Drive integration of AI and predictive analytics at Amgen North Carolina.
Evaluate interdependencies among smart technologies, enterprise systems such as MES and ERP, and manufacturing processes to ensure system alignment with business goals.
Support prioritization, approval, and execution of digital initiatives.
Use advanced analytical techniques and tools such as SQL and Tableau to interpret complex data and assess manufacturing performance metrics.
Partner with global digital teams and other manufacturing sites to share best practices, standardize digital solutions, and support continuous improvement.
Prepare business cases to secure funding for digital initiatives aligned with site and organizational objectives.

Benefits

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions.
Group medical, dental, and vision coverage.
Life and disability insurance.
Flexible spending accounts.
Discretionary annual bonus program.
Stock-based long-term incentives.
Award-winning time-off plans.
Flexible work models where possible.
Career development opportunities.

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