Director, Quality Analytics

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. Lead application of data science methods (e.g., statistical modeling, forecasting, anomaly detection, trend detection, process capability, risk scoring) to proactively identify issues and improvement opportunities. Partner with stakeholders to operationalize analytics products (model + pipeline + monitoring) and measure sustained impact. Establish and scale NLP capabilities to extract structured insights from unstructured Quality content (e.g., narratives, observations, notes, free‑text fields) to support trending, classification, summarization, and knowledge discovery. Identify, evaluate, and deliver prioritized LLM‑enabled use cases for Quality using approved enterprise platforms. Partner with enterprise teams to enable scalable, governed datasets and pipelines in modern data platforms such as Snowflake and/or enterprise data environments, ensuring secure access and appropriate governance. Promote “right‑first‑time” data practices by collaborating with process/system owners to improve data standards, completeness, and consistency for critical Quality data. Develop team capability across BI/analytics engineering, data science, NLP, and GenAI/agentic AI and ensure appropriate training and skill progression. Build, lead, and develop a high‑performing team, set clear goals, priorities, and expectations. Drive adoption of analytics through structured change management execution. Knowledge and Skills Demonstrated ability to turn data into information that helps drive decisions. Highly skilled in data modeling, leveraging analytical languages and tools (e.g. Python, R, SAS, SQL, Alteryx). Strong data visualization skills and experience with relevant tools (e.g. Spotfire, Power BI, and/or Tableau). Experience applying NLP methods to unstructured text (classification, extraction, summarization, search) to generate insights. Experience with modern data platforms such as Snowflake and/or enterprise data ecosystems, ability to partner effectively with data engineering teams. Strong understanding of data governance and data quality concepts (definitions/standards, lineage, monitoring, stewardship collaboration). Experience designing or deploying LLM‑enabled solutions using enterprise platforms. Experience with utilizing scripting languages to leverage APIs (REST APIs etc.). Strong oral, written and presentation skills with ability to explain complex concepts clearly to a variety of audiences. Understanding of industry requirements/expectations of a Quality Management System. Current knowledge of industry trends and best practices‑ for progressive quality management in a regulated environment. Creative, innovative leadership experience complemented with strong change management. Experience, adaptability, resourcefulness. Strong problem‑solving and critical thinking skills, accompanied by analytical thinking/Data Analysis skills required to make sound decisions. Experience developing and executing adoption plans that include communications, stakeholder engagement, and readiness activities. Education and Experience PhD or Master’s in a data‑related field with a substantial engineering, business and statistical component. 10+ years’ experience working in pharmaceutical / biotechnology / healthcare / health IT industry, and 3+ delivering end‑to‑end data analysis projects or the equivalent combination of education and experience. Demonstrable experience in the pharmaceutical, biotechnology or device industry solving business and/or compliance challenges through the application of analytic approaches strongly preferred. Experience with Veeva QMS and other eQMS systems is preferred. Pay Range $202,400 - $303,600 Disclosure Statement The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job‑related factors permitted by law. Flex Designation Hybrid-Eligible Or On‑Site Eligible Flex Eligibility Status In this Hybrid‑Eligible role, you can choose to be designated as: Hybrid : work remotely up to two days per week; 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. 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 View email address on click.appcast.io #J-18808-Ljbffr Dormont Manufacturing Co