Vertex
biotechnology
Director,QualityAnalytics
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“Director, Quality Analytics at Vertex. Skills: Quality Analytics, Data Science, NLP, GenAI. Implement integrated analytics and governance. Provide insight into GxP compliance”
What You'll Achieve.
Deliver trusted insights; Deliver decision-grade insights; Strengthen quality governance; Strengthen operational oversight; Strengthen continuous improvement; Reduce manual effort; Increase speed-to-insight
Industry & Context.
Problem solving; Critical thinking; Analytical thinking; Data Analysis
What They're Looking For.
Must Have
10+ years experience, 3+ years delivering data analysis projects, SQL proficiency, Python proficiency, R proficiency, SAS proficiency, Alteryx proficiency, Spotfire proficiency, Power BI proficiency, Tableau proficiency
Nice to Have
PhD preferred, Pharmaceutical/biotechnology/device industry experience, Veeva QMS experience, eQMS systems experience
What You'll Do.
Implement integrated analytics and governance
Provide insight into GxP compliance
Provide insight into process performance
Provide insight into risk signals
Provide insight into resource utilization
Establish scalable Quality metrics framework
Lead prioritization and demand management
Balance strategic initiatives with operational needs
Lead development of governed dashboards
Lead development of scorecards
Lead development of semantic models
Oversee integration of multi-source datasets
Automate recurring reporting
Increase speed-to-insight
Lead application of data science methods
Proactively identify issues
Proactively identify improvement opportunities
Operationalize analytics products
Measure sustained impact
Establish and scale NLP capabilities
Extract structured insights from unstructured Quality content
Support classification
Support summarization
Support knowledge discovery
Identify LLM-enabled use cases
Evaluate LLM-enabled use cases
Deliver LLM-enabled use cases
Enable governed pipelines
Promote data standards
Improve data completeness
Improve data consistency
Develop team capability
Ensure appropriate training
Ensure skill progression
Build a high-performing team
Lead a high-performing team
Develop a high-performing team
Set clear expectations
Drive adoption of analytics
Execute structured change management
How You'll Work.
Team & Collaboration
Partner with Quality leadership; Partner with business leadership; Partner with stakeholders; Collaborate with data engineering teams; Collaborate with process owners; Collaborate with system owners; Collaborate with enterprise teams
Communication Scope
Oral presentation; Written presentation; Explain complex concepts
Process & Methodology
Roadmap planning, Demand management
Full Job Description
**Job Description** **General Summary:** The Director, Quality Analytics is accountable for advancing the Quality Analytics Center of Excellence by delivering trusted, decision‑grade insights across Quality and GxP domains. This role leads a team that designs and scales metrics, dashboards, and advanced analytics to strengthen quality governance, operational oversight, and continuous improvement across modalities and product lifecycle stages. This role is a people manager, responsible for building and developing a high‑performing team, establishing clear priorities and operating rhythms, and ensuring analytics and AI solutions are implemented in a controlled, compliant manner suitable for regulated environments. The role partners cross‑functionally to improve data quality and reliability, expand predictive and NLP capabilities, and enable fit‑for‑purpose AI and agentic solutions using approved enterprise platforms. This individual will demonstrate Vertex Core Values, as well as model leadership behaviors instilling a culture of quality, engagement, development, and transparency. **Key Duties and Responsibilities:** * Partner with Quality and business leadership to implement integrated analytics and governance that provide timely insight into GxP compliance, process performance, risk signals, and resource utilization. * Establish and maintain a scalable Quality metrics framework (KPI library/definitions, calculation logic, refresh cadence, ownership, and reporting standards) to enable consistent management oversight. * Lead prioritization and demand management for analytics work (intake, triage, roadmap, delivery, sustainment), balancing strategic initiatives with operational needs. * Lead development of governed dashboards, scorecards, and semantic models that enable self‑service insights while maintaining appropriate controls. * Oversee integration of multi‑source datasets and automation of recurring reporting to reduce manual effort and increase speed‑to‑insight.
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