Sr. Associate IS Business System Analyst

Amgen•Juncos, PR

About The Position

The Sr. Associate IS Business System Analyst partners with manufacturing and technology teams to deliver reliable, compliant, and innovative data solutions supporting critical operations. The role advances digital transformation, operational excellence, and data-driven decision-making through PI Data Historian and related technologies. The position administers and supports PI Data Historian platforms for Drug Substance and Drug Product operations, integrates them with manufacturing systems, and coordinates troubleshooting with vendors and external support teams. It also supports technology implementations and operations, including server deployment coordination, validation, work orders, and cybersecurity patch management. The analyst manages cross-functional initiatives, supports compliance and regulatory assessments as a Technology Subject Matter Expert, and contributes technical expertise to analytics and other Informatics and Technology solutions. The role collaborates with business, Technology, and Enterprise Architecture teams on project portfolios, solution alternatives, business cases, and continuous improvement. The position is an individual-contributor role.

Requirements

Meet one of the following education and experience combinations: master's degree; bachelor's degree and 2 years of Information Systems experience; associate's degree and 6 years of Information Systems experience; or high school diploma/GED and 8 years of Information Systems experience.

Nice To Haves

Bachelor's degree in Engineering and/or Computer Science.
Experience administering and supporting data historian systems, preferably OSI PI, and integrating them with manufacturing and process control systems such as PCS, DCS, PLC, and SCADA.
Hands-on experience with PI System components, including PI Asset Framework (AF), PI Vision, Performance Equations, RT Reports, and reporting and visualization tools.
Experience with databases and data platforms such as SQL, Oracle, and Databricks.
Knowledge of data analytics, data science, statistical analysis, business intelligence, machine learning, and visualization tools such as Tableau, Spotfire, Python, and R.
Ability to collaborate with business partners and cross-functional Technology teams and drive projects from concept through implementation.
Experience working in Agile environments and applying Agile methodologies to project delivery and continuous improvement.
Understanding of cybersecurity principles and practices, including access management, vulnerability remediation, patch management, and system compliance.
Experience supporting the full application lifecycle, including administration, maintenance, enhancement identification, implementation, and ongoing operational support.
Strong verbal and written communication, presentation, and stakeholder management skills, with fluency in English and Spanish.

Responsibilities

Administer, configure, and maintain PI Data Historian platforms supporting Drug Substance and Drug Product operations, including equipment integration across manufacturing areas.
Collaborate with cross-functional teams to integrate PI Data Historian with manufacturing systems, including MES, PCS, DCS, PLC, SCADA, and related technologies.
Coordinate with vendors and external support teams to troubleshoot and resolve application-related issues and maintain system reliability and operational efficiency.
Lead and support technology project implementations and ongoing operations, including server deployment coordination, validation support, work order execution, and cybersecurity patch management.
Manage multiple medium-to-large cross-functional initiatives and deliver milestones on time.
Support compliance with cybersecurity, privacy, data integrity, and regulatory requirements through patching, security assessments, and adherence to standards.
Serve as a Technology Subject Matter Expert in internal and external audits, inspections, and regulatory assessments.
Support development and adoption of data analytics, data science, machine learning, and artificial intelligence capabilities.
Provide technical guidance on Informatics and Technology solutions in support of business priorities and continuous improvement.
Collaborate with business, Technology, and Enterprise Architecture teams on project portfolios, solution alternatives, and business case development.