SUMMARY:

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.

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 to support data modernization and customer mobile/web app development.
• Advanced understanding of DataOps, MLOps and FinOps
• Experience in leading digital transformation though data, analytics, AI and GenAI.
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
• 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, multinational, multiple business unit organization.
• Ability to travel (~25%) as needed.

Specialized Skills/Technical Knowledge:

• 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 including data engineering, data warehousing technology, and DataOps
• Working knowledge of microservices, containers, APIs, composable architectures
• Strong knowledge of Azure Environment and DevSecOps

LI-Hybrid

Our Total Rewards package in aggregate is above market and includes competitive pay, generous paid time off programs, peer-to-peer recognition, health and life insurance, wellness programs and incentives, generous retirement savings, and a unique Benefit of Employee Share Ownership Program (BESOP).

• Leadership and Strategy: 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.
• Innovation and Collaboration: Foster a culture of innovation and collaboration within the team and across the enterprise, establishing Global IT as a strategic partner and change catalyst driving unparallel business value.
• Modern Data Architecture and Data Platform: Design and implement modern data architectures to enhance analytics, AI/ML, and data visualizations, driving key insights for decision-making. Lead the design, development and evolution of a secure, compliant, and scalable data/AI platform to enable easy access to trustworthy data across the enterprise.
• Data Governance: Establish comprehensive data governance frameworks, ensuring data quality, security, and compliance while simplifying governance via AI and automation.
• Digital and Data Culture: Cultivate a digital and data-driven culture, enhancing data literacy across the organization.
• Digital Platforms: Lead the design, development and evolution of modern, secure, compliant, and scalable digital platforms, including websites, mobile apps, digital products, automation, and integration/API, while delivering seamless customer experiences.
• Automation Advancement: Expand automation, RPA, Intelligent / Autonomous Agents leveraging Data, AI/ML, GenAI and latest technological advancements to accelerate business agility and performance.
• Lead the Evolution of DevSecOps, CI/CD, and Microservices: Expand and evolve our DevSecOps and CI/CD platforms to rapidly deliver digital solutions and exceptional customer experiences. Evolve IT toward a microservices and API-first architecture to facilitate the discovery and re-use of assets to drive operational efficiency, developer productivity, and scalability while enforcing security and compliance.

Essential Functions of the Role:

• Architectural Experience: Deep experience in designing scalable Digital Platforms, Data Platforms, microservices, reusable assets, products, and solutions.
• Technology Industry Expertise: Deep digital, data and technology skills and understanding of technology trends and best practices in digital platforms, microservices, data, AI/ML, GenAI, cloud computing, and automation as well as experience in customer-facing digital products / apps.
• Leadership Experience: Proven track record in leading and inspiring highly technical teams, leading change, and advancing an enterprise-wide data-driven culture.
• Strategic Thinking: Ability to translate business objectives into effective long-term technology strategies and roadmaps.
• Analytical Skills: Strong analytical and problem-solving skills to deliver solutions that drive business results.
• Collaboration and Communication Skills: Excellent interpersonal skills for collaboration with cross-functional teams and executives, with the ability to influence senior leaders and peers toward a business outcome
• Industry Experience: Experience in life sciences or related high-regulated industries, with executive leadership in data operations or technology organizations.