About the Role
We are seeking a Director of QA Data Analytics to lead our global QA Systems and Data Analytics strategy. This individual will define and execute a sustainable model through established governance, standards, and validated data analytic tools.
They will partner with business leaders and stakeholders to identify opportunities that reduce compliance risk, provide early signals to minimize business impact, drive global standardization, and improve efficiencies.
The ideal candidate will utilize AI and Machine Learning technologies to unify and enhance our systems, driving innovation and efficiency throughout the Quality organization.
Key Responsibilities
* Develop and manage the QA Systems and Data Analytics strategy and roadmap for ADC Quality Organization.
* Communicate the analytics approach and how it will meet objectives to business partners and leaders.
* Ensure quality systems and data analytic tools comply with Corporate and Division policies and procedures.
* Collaborate with stakeholders to understand business problems and implement scalable solutions.
* Design, create, test, and implement complex models that drive analytical solutions throughout the quality organization.
* Design, build, and implement systems and tools for collecting, cleaning, and storing data to support statistical models and business analysis.
* Stay abreast of developments at the intersection of data science, technology, and business relevant to the company.
Quality Digital Framework
* Establish a Data Governance Program to enable One Quality System, Safeguard and Industry 4.0.
* Establish Data Management to empower continuous improvement and provide a primary source of truth.
* Build automated analysis and reporting of key performance metrics.
* Build a Data Catalog with prioritized datasets from systems used in manufacturing, quality, and ERP.
* Perform Generative AI and Machine Learning assessments.
* Increase use of digital systems to maximize intelligent solutions and increase quality compliance.
Requirements
* Bachelor's degree in Operations Management, Data Engineering, Data Science, Business Analytics, or related field.
* 16+ years of relevant industry experience.