Director, QA Data Analytics - Abbott Laboratories : Job Details

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO.
• An excellent retirement savings plan with high employer contribution.
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

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.

• Develop 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.
• Determine end results the company needs to accomplish, set objectives to achieve end results, and determine how objectives will be achieved.
• Establish operating objectives and functional policies, usually through membership on the senior executive team.
• Define entire Quality & Operations Digital Framework 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.

• 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 compliance.

• Bachelor's degree in Operations Management, Data Engineering, Data Science, Business Analytics, or related field.
• 16+ years of relevant industry experience.

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is $164,900.00 – $329,700.00. In specific locations, the pay range may vary from the range posted.