Director, CX Advanced Analytics & AI Technical Suite Lead

If you are a current Jazz employee please apply via the Internal Career site.
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.
Brief Description
At Jazz, we are reimagining how we design and deliver more precise customer experiences, enabled by new technologies, modern ways of working, and high performing team behaviors. Through this work, we enable teams to better understand patients, caregivers, and HCPs, anticipate their needs across the enterprise, deliver timely and personalized engagement, and orchestrate seamless, end-to-end experiences as One Jazz.
To power this ambition with both speed and scale, we are embracing a new product-oriented operating model, allowing business and technology teams to partner side by side in building, advancing, and delivering global capabilities across our enterprise. Cross-functional, empowered Global Capability teams own outcomes—not just outputs—and work from clear capability visions, strategies, and measurable goals. We prioritize user problems, validate solutions through experimentation and data, and iterate quickly to create real value for our users and the business. As part of this model, you’ll collaborate closely with users, stakeholders, and technical teams across the organization, using discovery and delivery practices to ensure we’re building the right things, in the right way, at the right time
The Director, CX Advanced Analytics & AI Technical Suite Lead, leads a technical team that includes:
The Global Capability Technical Owner for Performance Optimization, who manages digital analytics products, including in-house marketing mix solution
The Global Capability Technical Owner for Predictive Algorithms, who manages our Customer Experience AI products
The Global Capability Technical Owner for Analytics & Insights + Global Performance Reporting who manages consolidated insights products
Development teams and vendor partners
At Jazz, we believe that effective people leadership is essential to our success. Our people managers play a vital role in creating an environment where teams thrive, and individuals reach their full potential. Jazz invests in people managers to equip them to drive performance, grow individuals, and create belonging. As a result, Jazz people managers champion a culture of collaboration, inclusion, and belonging, ensuring that everyone feels heard and valued. They connect with their teams on a personal level, understanding their unique needs and motivations and providing personalized support to empower every team member to thrive.
Essential Functions/Responsibilities
Key Responsibilities:
Leadership, Strategy, & Technical Roadmap Development
Set and drive the technical direction for Customer Experience Predictive Algorithms (AI), Performance Optimization (Advanced Analytics) and Analytics and Insights teams in alignment with product strategy and enterprise priorities.
Collaborate with the Customer Analytics & Insights and Performance Analytics & Optimization CX Suite Leads to create value-focused roadmaps, defined to launch and enhance the technical capabilities to deliver the Customer Experience ambition
Own budget and resource allocation, making investment decisions across capabilities and teams to maximize impact and long-term value.
Translate product roadmaps into scalable technology architectures and development plans working closely with the Enterprise AI and Analytics & Automation Capability Leads to assess feasibility, identify dependencies, and mitigate risks
Partner closely with the CX Advanced Analytics & AI Technical Suite Lead, assess the impact and value of AI solutions, identify the optimal solution design including solution measurement and design of prototypes and pilots as needed.
Ensure technical planning supports consistent KPI frameworks, governed measurement, and decision‑ready analytics across brands and channels.
Ensure development teams build scalable, secure, and reliable technology solutions that support:
Consolidated Insights Products, which are productized analytics and market research solutions that accelerate and standardize insight generation across customer segments and use cases.
Enterprise Reporting Products, which deliver standardized, decision-ready insights and governed KPIs to support executive, brand, field, and functional leadership. Supporting technology solutions include PowerBI.
Digital Analytics Products and In-house Marketing Mix Solution, which measure campaign performance, optimize marketing investment allocation, and deliver advanced modeling to drive ROI and engagement impact.
Predictive Analytics Products, which leverage advanced modeling to enhance targeting and engagement strategies.
Ensure development best practices are followed for all Analytics, Advanced Analytics / Optimization and AI products. Drive development teams to follow responsible and ethical AI development and ensure compliance with Jazz Legal policies.
Partner with leadership on workforce planning, capability development, and evolution of the operating model as capabilities mature
Manage vendor partners, ensuring clear accountability, quality delivery and alignment to objectives
Cross-Functional Collaboration
Act as the primary technical point of accountability for both the Customer Analytics & Insights and Performance Analytics & Optimization suites, partnering with architects, security, and data teams to ensure compliance with organizational standards and regulatory expectations.
Work closely with Tech Leads, Capability Owners, development teams, and adjacent platform teams to coordinate roadmap dependencies, integrations, and architectural decisions.
Partner with the Suite Lead on product roadmap and strategy, ensuring technical architecture decisions are aligned with suite priorities, and collaborating with business teams to shape the product experience and translate user needs into scalable, high-impact solutions.
Represent the technical architecture, platforms, and delivery considerations of Analytics and AI development for product teams in domain, cross‑suite, and executive forums to drive alignment and resolve dependencies.
Collaborate with CX Data Tech Leads and Enterprise Data & AI Capability Leads to align on shared data infrastructure, integration standards, and AI/ML enablement — ensuring consistency across analytics platforms and driving coordinated delivery across the Customer Analytics & Insights and Performance Analytics & Optimization suites.
Lead resolution of technical cross-team issues affecting Customer Analytics & Insights and Performance Analytics & Insights performance or adoption
Technical Skills
Required Knowledge, Skills, and Abilities
Extensive experience with development, design and explainability of predictive models, including deployment, monitoring, drift detection, retraining, and retirement, grounded in production grade ML/AI engineering practices and model governance.
Strong experience leading Analytics, Advanced Analytics and AI development teams ensuring responsible and ethical development as well as scalable, secure solutions.
Strong experience evaluating AI solutions for impact and value, designing viable MVP / pilots with clear evaluation criteria such as A/B testing and success metrics.
Ability to translate predictive and analytical outputs into trusted, explainable, and operationally consumable artifacts for orchestration, reporting, and field execution—balancing model sophistication with usability for Commercial stakeholders. Proven ability to evaluate build vs buy solutions and apply design thinking to evaluate process redesign and explainability into adoption planning.
Understanding of software architecture, cloud platforms, and modern engineering frameworks.
Experience designing scalable, secure, and compliant analytics & AI solutions within complex enterprise environments.
Experience designing and integrating enterprise digital platforms and technology solutions such as business intelligence and analytics platforms, In-house Marketing Mix Solutions, Predictive Analytics Products, including their configuration, integration, and governance implications.
Experience designing and governing enterprise analytics data models, including star schemas and semantic models (e.g., DAX/Power BI), KPI definitions, and reusable datasets, with strong command of analytics engineering principles, performance optimization, and layer separation (data, semantic, visualization).
Proven ability to deliver enterprise reporting solutions using development standards, CI/CD practices, qualit

Work arrangement
Yes