Sr Associate Digital Mfg I

Amgen•Holly Springs, NC
•$93,543 - $126,558

About The Position

The Sr Associate Digital Manufacturing I joins a team advancing smart manufacturing technologies and digital transformation initiatives at Amgen North Carolina. The role enhances manufacturing floor operations and supports business leadership through data analytics, AI, and automation. It owns critical processes and develops digital solutions to improve operational performance, advance the site’s digital maturity, and support a more connected, data-driven manufacturing environment. The role builds digital tools to improve manufacturing productivity; leads implementation of site-level data structures and architecture for analytics, modeling, and big data initiatives; develops predictive models and actionable insights; and drives AI and predictive analytics integration. It also evaluates alignment among smart technologies, enterprise systems, and manufacturing processes, supports prioritization and execution of digital projects, and analyzes and visualizes manufacturing performance data. The position collaborates with global digital teams and other manufacturing sites, and prepares business cases for digital investments.

Requirements

  • One of the following: high school diploma or GED and 4 years of engineering or computer science work experience; an associate degree and 2 years of engineering or computer science work experience; a bachelor's degree and 6 months of engineering or computer science work experience; or a master's degree.

Nice To Haves

  • Experience with command-line programming or scripting using one or more languages such as Python, C, C++, or Java.
  • 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 work 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.

Responsibilities

  • Identify improvement opportunities in manufacturing operations and build digital tools to enhance productivity.
  • Lead implementation of 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 alignment with business goals.
  • Support prioritization, approval, and execution of digital initiatives.
  • Analyze complex data sets and manufacturing performance metrics using SQL, Tableau, and other visualization or analytics platforms.
  • 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

  • Health and welfare plans for staff and eligible dependents.
  • Financial plans with opportunities to save for retirement or other goals.
  • Work/life balance and career development opportunities.
  • Retirement and Savings Plan with 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.
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