Sr Manager-Process Analytics

Senior Manager of Process Analytics

Jubilant Hollister Stier CMO, Spokane’s Largest Manufacturing Company, supports the pharmaceutical industry with advanced manufacturing and quality solutions.

The Senior Manager of Process Analytics will lead a team responsible for analyzing process data to allow for optimising 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.

• 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) to ensure insights are understood and accurately incorporated into site processes.
• Provide opportunities for the team to up‑skill to leading edge technology and statistical methodology.
• Collect, clean, and analyse large datasets from production systems.
• Utilise 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 optimisation.
  
  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.
• 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 of advanced, vocational/specialised knowledge.
• Strong proficiency in data analytics tools (SQL, Python, R, Power BI/Tableau).
• Expertise in Lean, Six Sigma, and continuous improvement methodologies.
• Working knowledge of project management.
• Functional expertise in Microsoft Office.
• Occasional lifting of equipment, samples, or materials (up to 25 lbs).
• Frequent standing and walking during laboratory inspections or site assessments.
• Manual dexterity required for handling lab instruments, PPE, and documentation.
• Visual acuity for reading safety data sheets, monitoring instruments, and analysing 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 position located in Spokane, WA.

$ – $189,600 annually depending on experience, with opportunity for growth, promotion and annual raises. Midpoint and above is reserved for employees who have longevity with Jubilant Hollister Stier and consistently exhibit outstanding performance over a period of time in the role.

• Medical, Dental, Vision, Flexible Spending and Health Savings Accounts
• Life, AD&D, Short and Long Term Disability
• 401(k) with company match
• Generous paid time off plan
• Employee Assistance Program

Jubilant Hollister Stier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.