Sr Director Data, AI and Digital Platforms

Hollister Incorporated - Libertyville, IL

Full-time - Senior

Hybrid - Libertyville, IL

Miscellaneous Manufacturing

About the position

Reporting directly to the Global Chief Information Officer, you will collaborate with Senior Leaders across our product and services businesses and across our IT Digital Partners to reimagine the future of our business, creating unparalleled business value. This Senior IT leader will possess extensive knowledge of Data, AI/ML, DevSecOps, and digital platforms with demonstrated success in leading world class engineering organizations, building enterprise grade platforms/solutions, and translating technology investments into business outcomes. As the Senior Director of Data, AI, and Digital Platforms, you will lead the design, development, and evolution of our Digital and Data/AI Platforms with a key focus on unifying all data across the enterprise and external sources to derive insights to accelerate business performance and customer intimacy. This role will lead an enterprise culture shift toward a data-driven culture and enable more personalized customer experiences through all our customer touchpoints, current and future. You will help evolve the IT landscape towards a modular, composable enterprise architecture, accelerating productivity and speed to value. You will foster strong engineering disciplines and inspire a high-performing global team to deliver continuous business value. Hollister operates in a hybrid work environment.

Responsibilities

• Be an industry thought leader and provide oversight and strategic direction to the Data/AI and Digital Platform teams, aligning product and platform roadmaps with corporate and business unit objectives.
• Stay informed on emerging technologies and assess their potential impact on the organization.
• Continually evolve and mature our digital, DevSecOps, and data management practices in alignment with industry advances and regulatory requirements.
• Foster a culture of innovation and collaboration within the team and across the enterprise.
• Establish Global IT as a strategic partner and change catalyst driving unparalleled business value.
• Design and implement modern data architectures to enhance analytics, AI/ML, and data visualizations.
• Lead the design, development and evolution of a secure, compliant, and scalable data/AI platform.
• Establish comprehensive data governance frameworks, ensuring data quality, security, and compliance.
• Cultivate a digital and data-driven culture, enhancing data literacy across the organization.
• Lead the design, development and evolution of modern, secure, compliant, and scalable digital platforms.
• Expand automation, RPA, Intelligent / Autonomous Agents leveraging Data, AI/ML, GenAI.
• Expand and evolve our DevSecOps and CI/CD platforms to rapidly deliver digital solutions.

Requirements

• 15+ years overall experience is required.
• Bachelor's degree or higher in Information Technology, Engineering, Computer Science, Mathematics/Statistics, or related field.
• MBA or Master of Science Preferred.
• Minimum of fifteen years of overall experience in IT, with at least ten years of experience in Data and Analytics and at least five years in DevOps / Web and Mobile Apps.
• Proven record of developing and delivering data and analytics strategies and business outcomes across multiple functions and businesses in a multinational company.
• Industry visibility, panel participation and other publicly available thought leadership.
• Advanced understanding of various data platforms, digital platforms, and cloud platforms.
• Advanced understanding of DataOps, MLOps and FinOps.
• Experience in leading digital transformation through data, analytics, AI and GenAI.
• Excellent communication, presentation, and interpersonal skills.
• Experience with data governance and data literacy programs and delivery.
• Proven record of managing executive relationships and driving a data-first mindset across a complex organization.
• Ability to travel (~25%) as needed.

Nice-to-haves

• Formal education/training and experience with data, AI/ML methods, GenAI.
• Experience driving responsible AI adoption and deep knowledge of LLMs, and RAG techniques.
• Working knowledge of data and AI/ML ecosystem, technology, and industry best practice.
• Working knowledge of microservices, containers, APIs, composable architectures.
• Strong knowledge of Azure Environment and DevSecOps.

Benefits

• Competitive pay
• Generous paid time off programs
• Peer-to-peer recognition
• Health and life insurance
• Wellness programs and incentives
• Generous retirement savings
• Employee Share Ownership Program (BESOP)