Associate Director IT Global Data Analytics, Innovation & Digital Experimentation - Georgia Tech

Job Title:
Associate Director IT Global Data Analytics, Innovation & Digital Experimentation – Georgia Tech

Job Country:
United States (US)

Avanos Medical is a medical device company focused on delivering clinically superior solutions to improve patient outcomes.

The Associate Director IT Global Data Analytics, Innovation and Digital Experimentation is a critical member of Avanos IT leadership. This technology leader will be located in the Avanos Innovation and Development lab on the Georgia Tech campus, where they will staff and lead interns and IT engineers while directing technology strategy for advanced analytics and Generative AI.

The Associate Director will be responsible for staffing and leading interns and IT engineers at the Avanos Innovation and Development lab, and for driving technology strategy related to advanced analytics and Generative AI.

• Strategic Leadership
  • Define and implement the company’s vision for data and AI, aligning with business goals and regulatory requirements.
  • Drive innovation by identifying and prioritizing opportunities to embed AI into products.
  • Collaborate with executive leadership to position data and AI as a core competitive advantage.
• Data and AI Governance
  • Establish best practices for data management, ensuring data quality, integrity, and security in compliance with industry standards (FDA, GDPR, HIPAA).
  • Oversee ethical AI development practices, ensuring transparency and fairness in algorithmic decision-making.
  • Define metrics to measure effectiveness of AI and data-driven initiatives.
• AI-Driven Product Innovation
  • Develop AI-enabled features for users.
  • Lead initiatives in NLP, computer vision, and machine learning to enhance workflows and patient engagement.
• Operational Excellence
  • Build and mentor a team of data scientists, engineers, and AI specialists.
  • Partner with IT, regulatory, and quality assurance teams to ensure robust data infrastructure and compliance.
  • Leverage AI to optimize internal operations, such as supply chain efficiency and clinical trial design.
• Stakeholder Engagement
  • Serve as a thought leader, representing the company in industry forums and conferences.
  • Collaborate with external partners, academic institutions, and vendors to stay ahead of emerging trends.
  • Communicate data and AI strategies effectively to non-technical stakeholders.

• A bachelor’s degree in computer science, information technology or a related field.
• 10 years of technology industry experience, including data modelling, database administration, data architecture, data lake development, algorithm development, API development, data visualization, and project leadership.
• 5+ years of building and leading high performing engineering teams.
• Expertise in training and deploying generative models like DALL‑E, GPT-3, etc.
• Proficiency with Python and Tensor Flow or related libraries.
• Ability to solve complex problems through novel applications of generative AI or other innovative technologies.
• Demonstrated project management experience across a variety of efforts involving personnel, strategic and organizational planning, business process improvement, business program and project management, and benchmarking and program metrics.
• Demonstrated stakeholder management experience.
• Demonstrated executive‑level communications and interpersonal effectiveness skills.
• Demonstrated working knowledge of IT security and data privacy.
• Demonstrated experience with AGILE software development and JIRA for project tracking.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Avanos Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.