The Opportunity
Abbott Diabetes Care (ADC) is looking for a Director of QA Data Analytics. This person will be responsible for defining and executing the global QA Systems and Data Analytics strategy to ensure a sustainable global model can be delivered through established governance, standards, and validated data analytic tools. They will partner with cross-functional business leaders and key stakeholders to identify system and data analytic opportunities that will reduce compliance risk, provide early signals to minimize business impact to our products, drive global standardization, and improve efficiencies by minimizing non-value-added activities.
This individual will utilize AI and Machine Learning technologies to unify and enhance our systems, driving innovation and efficiency throughout the global Quality organization.
What You'll Work OnDevelop and manage the QA Systems and Data Analytics strategy and roadmap for ADC Quality Organization. Effectively communicate the analytics approach and how it will meet and address objectives to business partners and leaders Assure the quality systems and data analytic tools are in compliance with Corporate and Division policies and procedures to support quality decision making and internal/external audits Collaborate with key stakeholders to understand business problems to implement scalable and sustainable solutions utilizing cutting-edge technologies and tools Design, create, test, and implement complex models that drive analytical solutions throughout the quality organization that provide actionable insights, identify trends, and measure performance Design, build, and implement systems and tools for collecting, cleaning, and storing appropriate 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 and drive business innovation through analytics Determines end results company needs to accomplish, sets objectives to achieve end results, and determines how objectives will be achieved Establishes operating objectives and functional policies, usually through membership on the senior executive team Defines entire Quality & Operations Digital Framework (see below) and our data visualization needs across manufacturing, post market complaints and customer insights in conjunction with our operations colleagues. This framework will have global impact across the manufacturing and quality organization. Quality Digital Framework: Establish Data Governance Program for data & analytic initiatives to enable One Quality System, Safeguard and Industry 4.0 Establish Data Management to empower continuous improvement and provide a primary source of truth, empowering insights. Build automated analysis and reporting of key performance metrics, reducing manual reporting and data compilation. Build a Data Catalog with prioritized datasets from systems used in manufacturing, quality and ERP, reducing data acquisition time. Generative AI and Machine Learning assessments Increase use of our digital systems to maximize intelligent solutions and increase quality complianceRequired QualificationsBachelor's degree in Operations Management, Data Engineering, Data Science, Business Analytics, or related field 16+ years of relevant industry experience
