Senior Director, AI & Data Solutions

Senior Director, AI & Data Solutions

Position Summary:

Desired

Location:

Bridgewater, NJ or Morrisville/Durham, NC, with ability to travel 20%

The Senior Director, AI & Data Solutions enables Catalent to move from AI experimentation to scaled, production-ready solutions that improve cost, productivity, quality, and decision-making. This role translates business priorities into enterprise AI, data, and analytics capabilities; builds the operating model needed to govern and scale them; and ensures solutions are embedded into real workflows where they deliver measurable value.

The position reports to the VP, Digital Transformation. The role is expected to partner closely with senior leaders across Operations, Quality, Sales, Marketing, Finance, IT/Digital, Information Security, Legal and Compliance to align AI and data priorities with enterprise business outcomes. This is an opportunity to shape how AI and data are used at enterprise scale within a global life sciences organization.

The successful candidate will help establish the roadmap, governance, platforms, delivery model and business adoption discipline required to turn high-potential AI ideas into reusable, compliant and measurable capabilities that improve how Catalent operates.

• Strategy and
  
  Roadmap:
  
  Define and execute Catalent’s enterprise AI and data roadmap, prioritizing use cases by business value, feasibility, and strategic fit. Translate enterprise and functional priorities into AI, data and analytics capabilities that deliver expected value across productivity, quality, cost, cycle time, growth and better decision-making.
• Delivery and Value Creation: Own the end-to-end delivery of high-value AI, data, and analytics solutions, from discovery and design through deployment, adoption, and value tracking. Embed AI and data solutions into real business workflows, ensuring active business ownership, clear adoption plans, measurable success criteria and sustained usage after deployment. Build reusable solution patterns, platforms and delivery methods that allow successful AI and data capabilities to scale across Catalent.
• Governance and Responsible AI: Establish and oversee enterprise AI and data governance to ensure responsible use, data quality, security, privacy, compliance, regulatory alignment, lifecycle management, and accountability across AI and data assets. Champion ethical and responsible AI practices by partnering with Security, Legal, Compliance, Quality, and business stakeholders to ensure appropriate governance, transparency, human oversight, auditability, validation, and model risk management.
• Leadership and Organization Capability: Build, lead and develop a high-performing AI and Data organization with the skills, discipline and business orientation required to scale impact across Catalent. Create strong partnerships across business, technology, data, security, legal and compliance teams to ensure solutions are practical, adopted and sustainable. Manage internal teams, external partners and vendors effectively, ensuring delivery quality, value for money and alignment to Catalent’s enterprise standards.
• Other duties as assigned.

• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in AI, data, digital product development, software engineering, or technology-enabled transformation.
• Demonstrated ability to translate business strategy into technology roadmaps, investment priorities, and executable delivery plans.
• Strong understanding of AI technologies, data platforms, analytics, cloud and hybrid architectures, Agile delivery, and modern integration patterns such as microservices, service-oriented architecture, and event-based architecture.
• Working knowledge of information architecture, data governance, master data management, business intelligence, data warehouse design, and data science concepts.
• Experience building and leading high-performing teams across AI, data, analytics, product, architecture, Engineering or solution delivery disciplines.
• Understanding compliance, validation, privacy, information security, quality and operational risk considerations…