Senior Business Systems Analyst (BSA)

Role Summary

We are seeking a Senior Business Systems Analyst (BSA) to bridge the gap between business stakeholders, manufacturing system owners, and technical teams. The BSA will support the design, validation, and deployment of data readiness and authentication processes for manufacturing systems data being ingested into Clients data lake and downstream platforms (e.g., PI). 

The role focuses on requirements gathering, process mapping, and cross-functional collaboration, ensuring that datasets are fit-for-purpose and aligned with operational and compliance needs. 

Key Responsibilities

• Partner with manufacturing system owners, Data lake teams, and business stakeholders to define data readiness requirements. 
• Translate business needs into clear technical specifications for Data Analysts/Engineers. 
• Document data authentication protocols, audit controls, and readiness standards. 
• Conduct gap analysis to identify integrity issues, missing data, or inconsistencies impacting downstream systems. 
• Support design of automated audit controls to ensure ongoing data quality and compliance. 
• Work with Trailblazer rollout teams to align site-level data readiness solutions with deployment timelines. 
• Develop and maintain process documentation, data flow maps, and user acceptance criteria. 
• Act as the liaison between technical resources (data engineering teams) and business users (manufacturing, operations, QA). 
• Monitor progress, escalate risks, and ensure solutions meet both business and compliance requirements. 

Required Skills & Experience 

• 7–10 years’ experience as a Business Systems Analyst or related role in manufacturing / life sciences. 
• Strong understanding of manufacturing systems data (SCADA, PLC, control systems) and downstream applications. 
• Experience with data readiness, authentication, and audit protocols. 
• Proven ability to translate complex data/technical concepts into business-friendly documentation. 
• Familiarity with PI (OSIsoft / Aveva) or other manufacturing historians  
• Excellent skills in requirements gathering, process documentation, and stakeholder management. 
• Strong analytical mindset with the ability to work with ambiguous/incomplete data. 
• Knowledge of regulatory and compliance considerations in pharma manufacturing data is a plus. 

Desirable / Nice-To-Have

• Experience with Agile methodologies / PI planning. 
• Prior work in data quality, governance, or audit frameworks. 
• Exposure to data lakes, pipelines, and relational database ecosystems. 
• Knowledge of pharma GxP data requirements.