Job Description

Company Overview

Vertex is a global biotechnology company focused on investing in scientific innovation to create transformative medicines for people with serious diseases. Across our organization, we work with urgency, rigor, and collaboration to deliver therapies that improve patient outcomes and create long-term value.

General Summary

The Operational Excellence & Business Analytics team serves as the process improvement and performance enablement backbone of CMTO, providing the integrated performance visibility, standardized metrics, and improvement discipline required to run, grow, and optimize Vertex's external commercial manufacturing network.

The Associate Director, Operational Excellence & Business Analytics is an end-to-end role that combines capabilities into a single accountability: the ability to (1) translate enterprise- and asset-level performance data into a coherent, decision-ready view of the network and its individual components, and (2) prioritize and drive the improvement initiatives those insights demand, and (3) present to cross-functional leadership.  The role partners closely with Network Performance, Manufacturing Operations, MS&T, Business Operations Leads, and Finance to embed data-driven decision-making and continuous improvement into CMTO's governance and operating rhythms.

This position will serve as a strategic change agent and analytics translator, advancing CMTO's operational excellence culture by demonstrating quantifiable benefits from improvement initiatives, mentoring teams on lean methods and data fluency, and ensuring decisions across the network are traceable, measurable, and reviewable.

Key Duties and Responsibilities

Operational Excellence Strategy & Initiative Execution

• Contribute to setting CMTO's operational excellence strategy, priorities, and success measures, aligned to enterprise and functional priorities
• Identify, prioritize, and drive execution of a portfolio of commercial manufacturing improvement and transformation initiatives — partnering with sites and functions while avoiding ownership of routine operations
• Lead initiatives targeting lead-time reduction, launch optimization, yield, and manufacturing success-rate improvements and COGM reduction through structured problem definition, root-cause analysis, options analysis, and ROI calculation
• Lead Lean, Six Sigma, Kaizen, Value Stream Mapping, and structured problem-solving initiatives across technical and business processes

Performance Visibility & Standardized Metrics

• Build and maintain an integrated performance view across network performance, asset execution, readiness, cost, and delivery — ensuring defined KPIs are observable in practice through consistent data availability, structure, and integrity
• Establish and maintain standard dashboards, metrics, and systems of record that enable consistent CMTO LT and enterprise-level visibility and comparability
• Partner with Network Performance to translate performance standards into reportable, automated views; partner with Digital Technology & Engineering on digital transformation plans that improve access to accurate, timely data

Decision & Governance Enablement

• Support scenario analysis and trade-off evaluations for network, asset, and portfolio decisions by making assumptions, options, and implications transparent — without owning execution
• Enable data-driven governance by ensuring decisions, assumptions, and outcomes are traceable, measurable, and reviewable in CMTO and enterprise governance forums
• Prepare executive-ready materials, performance narratives, and recommendations for governance reviews and leadership decisions

Continuous Improvement & Change Execution

• Embed learning, improvement discipline, and change execution into CMTO governance and operating rhythms, using insights and performance signals from Business Analytics and Network Performance
• Ensure sustainability of improvements through robust change management, control plans, and performance monitoring
• Identify and deploy AI, automation, and advanced analytics solutions to improve operational performance and analytics scalability

Community of Practice & Capability Building

• Operate as a community-of-practice leader for manufacturing operational excellence across internal manufacturing and supply chain, driving common standards, methods, and ways of working
• Mentor teams on lean processes, problem-solving tools, and data fluency, and benchmark industry best practices to inform innovative approaches

Knowledge and Skills

• Demonstrated success implementing Lean Manufacturing, Six Sigma, Kaizen, Value Stream Mapping, FMEA, Hoshin Kanri, and Change Management methodologies in GMP environments
• Proven experience leading improvement initiatives targeting lead-time reduction, launch optimization, yield improvement and COGM/COGs reduction
• Strong experience developing and deploying KPIs, performance dashboards, and standard metrics frameworks across multi-site or multi-partner networks
• Hands-on proficiency in data analysis, root-cause analysis, scenario modeling, and structured problem-solving
• Demonstrated experience identifying and deploying AI, automation, and advanced analytics solutions to improve operational performance and reporting scalability
• Working knowledge of data architecture concepts — systems of record, data integrity, KPI definitions and version control, and partnering with digital/IT functions on data pipelines (without owning them)
• Strong proficiency in Microsoft Excel, PowerPoint, and Word; experience with enterprise reporting tools such as Power BI, Tableau, SAP, Smartsheet, or similar
• Ability to translate complex performance data into clear business narratives and influence senior stakeholders
• Strong collaboration, facilitation, presentation and stakeholder management skills.
• Ability to operate effectively in a matrixed environment with strong role clarity, partnering across Network Performance, Business Operations, Manufacturing Operations, MS&T, Finance, and Strategic Sourcing

Education and Experience

• Bachelor's degree in Industrial Engineering, Engineering, Data Science, Analytics, or a related field required; advanced degree (MS, MBA) preferred
• Typically requires 8–12 years of experience in pharmaceutical, biotechnology, regulated manufacturing, supply chain, or MS&T environments
• Minimum 5 years of experience leading operational excellence, transformation, business process, performance analytics, or strategic improvement projects
• Lean Six Sigma Green Belt preferred

At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Pay Range:

$160,000 - $240,000

Disclosure Statement:

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 
1.    Hybrid: work remotely up to two days per week; or select
2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid
 

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected]