Senior Manager Business Intelligence, AI & Data Governance, CVRM

Welcome to Holly Springs, North Carolina— home to Roche/Genentech's largest-ever investment: a $2B greenfield start-up where next-generation technology, high-performing teams and Operational Excellence converge to create the global standard for high-volume, highly-efficient Drug Product manufacturing.

The facility's core is defined by Innovation - leveraging advanced automation, robotics, digital tools, real-time data analytics, and simple, streamlined processes to produce the highest quality medicines.

This plant meets today’s demand for CVRM (Cardiovascular, Renal, and Metabolism) medicines and is scalable to grow with the portfolio, which focuses on next-generation metabolic medicines specifically targeting the global obesity epidemic and Type 2 diabetes.

This is a fast-paced, entrepreneurial environment with a high-level of accountability, with planned launch in 2028. Are you a problem-solver and change-agent who thrives in a Team environment, eager to tackle the most complex manufacturing challenges? If so, this is a once-in-a-lifetime opportunity to launch a state-of-the-art facility from the ground-up and shape the culture of our organization for the next generation.

Join us in Holly Springs, where you won't just build a plant—you will build the future of medicine.

The Senior Manager Business Intelligence, AI & Data Governance is the site's technical and strategic leader for data-driven operations, responsible for designing, building, and maintaining a comprehensive data ecosystem that drives actionable intelligence across manufacturing, quality, and warehouse operations.

This is a working specialist role—you will design and build dashboards, collaborate on data analysis, and establish data governance norms across the site, while simultaneously leading and mentoring a high-performing team of data engineers, BI developers, data scientists, and data governance specialists.

You bridge complex engineering and data architectures with daily manufacturing, quality, and warehouse operations, ensuring intelligence is actively utilized, continuously validated, and expanded to deliver measurable business impact.

• Design, deploy, and personally build site-wide BI dashboards, analytics pipelines, and KPI frameworks that support operational, quality, and executive decision-making
• Analyze plant data to proactively identify operational opportunities (yield optimization, cycle time reduction, energy efficiency, quality improvements) and partner with business functions to translate insights into action
• Co-design data visuals and analytics solutions with Operations, Quality, Engineering, and Warehouse teams, ensuring relevance and usability
• Establish and manage analytics time-to-insight standards, reducing lead time for operational reports and batch disposition analytics

• Lead the execution of AI/ML initiatives including predictive maintenance, yield optimization, and real-time operator decision support
• Drive measurable improvements in batch yield, equipment uptime (OEE), or downtime reduction through predictive AI models
• Ensure AI model validation and governance align with GxP requirements

• Establish and enforce site-wide data governance policies, data lineage protocols, and data quality assurance mechanisms for all non-ERP data sources (SCADA, MES, LIMS, historian systems, IoT platforms)
• Ensure compliance with FDA 21 CFR Part 11 and ALCOA+ principles across data operations
• Lead data quality assurance mechanisms and maintain 100% adherence to GxP/ALCOA+ standards
• Partner with Quality Assurance and Compliance teams to align data integrity…