Sr Manager-Process Analytics

Jubilant Hollister Stier LLC, Spokane's Largest Manufacturing Company, and well-established member of the business community, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. Jubilant Hollister Stier is a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma.

Jubilant Hollister Stier is a proud member of the Jubilant Pharma family.

Our Promise:
Caring, Sharing, Growing

We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions through growth, cost effectiveness and wise investment of resources.

The Senior Manager of Process Analytics will lead a team responsible for analyzing process data to allow for optimizing and improving processes through data-driven insights. This role produces actionable information that enables operational efficiency, cost reduction, and quality improvement by leveraging advanced analytics, statistical modeling, and process engineering principles. The ideal candidate combines strong leadership skills with deep expertise in statistics, data analysis, and continuous improvement methodologies.

• Leadership
  • Lead and mentor a team of data analysts and process engineers to deliver actionable insights to applicable stakeholders.
  • Collaborate with cross‑functional teams (IT, PMO, QA, Operations, Executive/Site Leadership teams) to ensure insights are understood and accurately incorporated into site processes.
  • Provide opportunities for the team to upskill to leading edge technology and statistical methodology.
• Data Analysis & Process Optimization
  • Collect, clean, and analyze large datasets from production systems.
  • Utilize process data to demonstrate that processes remain in a state of control.
  • Identify deviations from a state of control and differentiate between common and special case variance.
  • Identify trends' causes to empower optimization.
  • Apply statistical process control (SPC) methodologies to monitor processes and improve process controls.
  • Assess and identify opportunities to implement process analytical technology (PAT) tools and strategies that enhance real‑time monitoring and enable predictive control.
• Performance Monitoring & Reporting
  • Develop dashboards and KPIs to monitor production performance and quality metrics.
  • Present findings and recommendations to site leadership in clear, actionable formats.
  • Create and drive reports on a frequency defined by site needs.

• Bachelor's degree in Industrial Engineering, Data Science, Statistics, or related field (Master's preferred).
• 8+ years in data analytics, with at least 3 years in a leadership role.
• Demonstrated ability to lead cross‑functional teams and manage complex projects.
• Proven track record of implementing data‑driven process improvements.
• Preference for experience in pharma and/or production or manufacturing data analysis.
• Experience with IoT, MES, ERP systems.
• Knowledge of machine learning applications in manufacturing.
• Mastery in Advanced vocational/specialized knowledge.
• Mastery in Strong proficiency in data analytics tools (SQL, Python, R, Power BI/Tableau).
• Mastery Expertise in Lean, Six Sigma, and continuous improvement methodologies.
• Working Knowledge in Project Management required.
• Functional Expert in Microsoft Office required.
• Occasional lifting of equipment, samples, or materials (up to 25 lbs) required.
• Frequent standing and walking during laboratory inspections or site assessments required.
• Manual dexterity required for handling lab instruments, PPE, and documentation.
• Visual acuity for reading safety data sheets, monitoring instruments, and analyzing data.
• Ability to wear PPE including lab coats, gloves, respirators, and eye protection for extended periods.
• Occasional travel to laboratory or manufacturing sites, including remote or high‑containment facilities.

Weekday Days, Monday-Friday

This is an on‑site, full‑time…