Senior Director, Data & AI Lead

The Senior Director, Tech Operations Data & AI Center of Excellence (CoE) is responsible for owning, governing, and scaling Data & AI capabilities across Tech Operations in alignment with Jazz's enterprise hub-and-spoke operating model .

This role holder serves as the TechOps-facing hub leader , accountable for:

• TechOps Data & AI strategy and roadmap
• Demand shaping and value-based prioritization
• Adoption, capability uplift, and realized value
• End-to-end accountability for TechOps AI and advanced analytics outcomes , while leveraging DEC and enterprise DA+A hub capabilities for delivery capacity

The role holder partners closely with TechOps functional leaders, Digital Committees, AI Council, and enterprise CoEs to ensure Data & AI initiatives are business-led, governed, compliant, and scalable in a regulated pharmaceutical environment. This leader combines strategic vision, operating-model leadership, and executive influence , ensuring Data & AI become practical, scalable, and responsible enablers of TechOps performance, reliability, and innovation.

Essential Functions/Responsibilities:

TechOps Data & AI Strategy & Portfolio Ownership

• Owns and executes the TechOps Data & AI strategy and multi-year roadmap , aligned to enterprise Data & AI standards and TechOps digital priorities.
• Acts as the front door for TechOps Data & AI demand , shaping high-value use cases, governing experimentation, and ensuring adoption and realized value across Manufacturing, Supply Chain, Quality, and Technical Operations.
• Drives value-based portfolio prioritization , sequencing initiatives through the established TechOps Digital Committee and investment governance forums.
• Retains end-to-end accountability for TechOps Data & AI outcomes , from ideation through scaled adoption.

Hub-and-Spoke Operating Model Leadership

• Leads the TechOps Data & AI CoE as the TechOps spoke , operating within Jazz's broader hub-and-spoke Data & AI model.
• Clearly defines and enforces role clarity between:

• TechOps CoE ownership (use case shaping, adoption, value realization).
• Enterprise hubs (DEC / DA+A) for platform, architecture, data engineering, 'MLOps', and security capabilities.

• Ensures consistent application of enterprise standards, guardrails, and patterns , while tailoring solutions to TechOps needs.

Governance, Risk & Responsible AI

• Ensures all TechOps Data & AI initiatives comply with Jazz AI principles, regulatory requirements, security, privacy and validation standards .
• Partners with the AI Council to flag AI-impacting initiatives and guide responsible experimentation.
• Champions ethical, explainable, and compliant AI practices across TechOps.

Experimentation, Scaling & Delivery Enablement

• Sponsors and governs experimentation, proofs-of-concept, and pilots , advancing only viable initiatives into scaled delivery.
• Works with DEC and enterprise DA+A teams to transition validated initiatives into production-ready solutions.
• Ensures solutions are operationalized into TechOps processes, systems, and decision-making workflows.

Adoption, Capability Building & L&D

• Owns the TechOps Data & AI capability uplift agenda , including learning pathways, role-aligned expectations, and champion networks.
• Drives adoption through change management, communications, and embedded data & AI fluency across TechOps.
• Tracks and reports on usage, adoption, and realized value , not just delivery milestones.

People & Partner Leadership

• Builds and leads a high-performing TechOps Data & AI CoE team , including employees, contingent workers and partners.
• Serves as a senior advisor to TechOps LT members, translating complex Data & AI topics into actionable business decisions.
• Influences without direct authority across enterprise hubs, functional spokes and governance bodies.

Required

• Proven record of leading enterprise-scale Data, Analytics, or AI strategies with measurable outcomes.
• Strong understanding of advanced analytics, AI/ML concepts , and their application to industrial or operational environments.
• Demonstrated ability to operate effectively within federated or hub-and-spoke operating models .
• Experience partnering with platform, architecture, engineering, and governance teams.
• Exceptional leadership, communication, and executive-level influencing skills.
• Strategic mindset with strong execution discipline.

Preferred

• Experience in pharmaceutical, biotech, or other highly regulated industries .
• Familiarity with MLOps, advanced analytics platforms and AI product operating models .
• Advanced degree (Master's or PhD) in Data Science, Computer Science, Engineering, Statistics, or related field preferred.
• Significant progressive experience in data, analytics, AI, or digital roles, including senior leadership responsibility.
• Track record of building data & AI literacy and adoption programs beyond technical teams.

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.