Johnson & Johnson Services, Inc. is recruiting for a Director, Data Products within the Med. Tech Supply Chain Digital & Data organization. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):Cork, Ireland / Czech Republic - R-079568 Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med. Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Executive Summary. The Director, Data Products leads the strategy and delivery of Med Tech Supply Chain data products that form the foundation of the organization’s Digital Brain—transforming raw data into trusted, business-ready, and AI-enabled assets. This role is accountable for building and scaling high-quality, reusable data products and semantic models that power analytics, enable AI, and drive fact-based decision-making across Med. Tech Supply Chain and enterprise functions. Operating at the intersection of business, data, and technology, this leader ensures that data ready to fuel insights and digital innovation. What This Role Delivers. Builds the Enterprise Data Foundation. Leads the transformation of raw and fragmented data into trusted, governed, and scalable data products. Establishes standardized, reusable data assets that serve as the single source of truth across the enterprise. Ensures data is reliable, consistent, and ready for downstream analytics and AI 2. Enables AI-Ready Data at Scale. Designs data products and semantic layers that are explicitly optimized for AI and sophisticated analytics use cases. Ensures data is structured, contextualized, and consumable at point of need. Advances the organization from handling data to activating intelligent data 3. Drives Business Value Through Data Products. Partners with business leaders to identify high-value data opportunities and translate them into scalable solutions. Tracks and communicates measurable value realization from data initiatives 4. Establishes a Product-Based Data Operating Model. Owns the shift from project-based delivery to data as a product. Embeds' product thinking, lifecycle ownership, and continuous improvement across the data organization. Aligns teams around delivering enduring, reusable capabilities rather than one-off solutions 5. Leads Med. Tech Data Transformation. Defines the roadmap for modernizing data capabilities, governance, and architecture. Drives alignment across global, cross-functional partners in a complex environment. Builds and leads high-performing teams and partners to deliver at scale. Qualifications. Education: Minimum Bachelor's degree and/or equivalent University degree required; focused degree in Computer Sciences or related field preferred. Advanced degree preferred. Required:Minimum ten (10) years of relevant professional work experience. Data, analytics, AI or digital leadership roles. A consistent track record of project delivery and business relationship management. Ability to translate business requirements into technology solutions. Strong leadership skills – operate as an independent leader with understanding and appreciation of the global/enterprise context. Strong presentation skills – ability to speak across various forums and communicate to s broad, diverse audience required. Preferred:Advanced Analytics, Business Alignment, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Visualization, Developing Others, Digital Fluency. Other:May require up to 10% domestic and/or international travel to other sites and locations.