Specialist IS Business Systems Analyst

Amgen • Holly Springs, NC

1d • $110,038 - $148,876 • Hybrid

About The Position

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist IS Business Systems Analyst. What you will do. Let’s do this. Let’s change the world! In this vital role, you will help drive Amgen’s digital and AI-enabled transformation by connecting business needs with practical technology solutions. You will apply business insight, technical judgment, and execution discipline to guide initiatives that improve how teams work, make decisions, and deliver value. This role will also evaluate opportunities thoughtfully, align the right stakeholders, and ensure solutions are effective, compliant, and built for meaningful impact.

Requirements

• Doctorate degree
• OR Master’s degree and 2 years in Information Systems, Computer Science, Engineering, Business, Life Sciences, or related field
• OR Bachelor’s degree and 4 years in Information Systems, Computer Science, Engineering, Business, Life Sciences, or related field
• OR Associate’s degree and 8 years in Information Systems, Computer Science, Engineering, Business, Life Sciences, or related field
• OR High school diploma / GED and 10 years in Information Systems, Computer Science, Engineering, Business, Life Sciences, or related field
• Demonstrated experience in business systems analysis, including requirements elicitation, process discovery, business process mapping, user stories, acceptance criteria, and translation of business needs into technology solutions.
• Experience leading or supporting medium-to-large technology, digital, automation, data, analytics, or AI-enabled initiatives involving cross-functional teams.
• Experience supporting computerized systems in a pharmaceutical, biotechnology, manufacturing, or other regulated environment.
• Working knowledge of GxP, computerized system lifecycle, validation/qualification, change control, data integrity, access management, audit trails, electronic records, cybersecurity, and compliance requirements.
• Experience with project management and Agile delivery practices, including scope, schedule, risk and dependency management, backlog management, sprint planning, testing, UAT, defect management, and release readiness.
• Demonstrated knowledge of data and analytics, including data sources, data quality, KPIs, metrics, analytics, and data-driven decision-making.
• Working knowledge of AI/ML, Generative AI, intelligent automation, and emerging technologies, including business use-case identification, responsible AI principles, and evaluation of new technology capabilities.
• Demonstrated ability to identify and implement process improvement, standardization, digitalization, and automation opportunities.
• Strong technical problem-solving and analytical skills, with the ability to coordinate issue resolution across business teams, technical teams, system owners, and vendors.
• Strong communication, collaboration, and stakeholder-management skills, with the ability to work effectively across technical and non-technical organizations and communicate with leadership.
• Ability to manage multiple priorities, risks, dependencies, milestones, and deliverables in a dynamic environment.
• Ability to develop business, technology, data, and domain expertise and apply emerging capabilities to practical business needs.
• Demonstrated ability to mentor and provide guidance to team members and contribute to technical and delivery best practices.
• Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision.
• Demonstrated proficiency in written and verbal communication in English language.
• Intellectual curiosity and the ability to question partners across functions.
• Ability to prioritize successfully based on business value.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully across virtual teams.
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.

Nice To Haves

• Experience with data visualization and analytics platforms such as Power BI, Tableau, Spotfire, Databricks, or comparable technologies.

Responsibilities

• Lead medium-to-large digital, automation, data, analytics, and AI-enabled initiatives across multiple departments or functional areas from business need through implementation and adoption.
• Partner with Manufacturing, Business, Technology/IS, Engineering, Automation, Quality, Data, and vendor stakeholders to identify business needs, process improvements, and scalable technology solutions.
• Lead requirements elicitation and process analysis, translating business needs into system requirements, user stories, process flows, acceptance criteria, and measurable success criteria.
• Define and manage project scope, delivery plans, timelines, resources, budgets, risks, dependencies, milestones, and deliverables.
• Manage cross-functional teams through solution design, development, testing, implementation, release readiness, adoption, and post-implementation assessment.
• Support the computerized system/application lifecycle, including implementation, validation/qualification, change control, sustainment, enhancements, integrations, upgrades, periodic reviews, and retirement.
• Identify opportunities to simplify, standardize, and automate business processes, eliminate manual activities, improve data quality, and replace inefficient or legacy workflows.
• Partner with the business to identify, standardize, and operationalize data sources, metrics, KPIs, dashboards, and analytics solutions supporting operational excellence and data-driven decision-making.
• Drive delivery and adoption of digital platforms, workflow automation, dashboards, analytics, and AI-enabled capabilities that improve productivity, quality, decision-making, and user experience.
• Identify appropriate AI/ML and Generative AI use cases, support responsible AI adoption, and contribute to practical guidance and guardrails for AI platforms, tools, and applications.
• Ensure technology solutions comply with applicable Technology, cybersecurity, GxP, data integrity, quality, legal, policy, and operational requirements.
• Communicate project status, risks, decisions, technical approaches, dependencies, and business value to stakeholders, vendors, and leadership.
• Drive continuous improvement and value realization by monitoring outcomes, gathering user feedback, and identifying opportunities to enhance delivered solutions.
• Provide technical guidance and mentoring and contribute to best practices for digital, data, AI, automation, and technology-enabled project delivery.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree