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Jazz Pharmaceuticals

Director, CX Advanced Analytics – AI Technical Suite Lead

Jazz Pharmaceuticals

. Set and drive technical direction for Customer Experience Predictive Algorithms, Performance Optimization, and Analytics and Insights teams .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $188,000 - $282,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical direction for Customer Experience Predictive Algorithms and Analytics, with a strong focus on developing scalable technology architectures and advanced analytics solutions. Proven ability to manage high-performing teams, drive budget allocation, and ensure adherence to best practices in AI and analytics.

Highest-signal resume keywords
Technical Program ManagementPredictive Analytics DevelopmentPython and R ProgrammingData Engineering and ArchitectureAgile Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringPredictive Model DevelopmentAnalytics ArchitectureEnterprise Reporting SolutionsCloud Data PlatformsAI Solution EvaluationData TransformationKPI FrameworksSystem Integration PatternsCI/CD Practices
Soft Skills
Team LeadershipMentoringCollaborationResource PlanningPerformance Management
Tools & Technologies
Power BIRedshiftSnowflakeAPIsAgile Methodologies
Industry Keywords
Customer ExperienceAnalytics and InsightsPerformance OptimizationEthical AI PracticesDigital Analytics

Tech Stack

Tools & technologies
Amazon RedshiftCloudPython

About the role

Key responsibilities & impact
  • Set and drive technical direction for Customer Experience Predictive Algorithms, Performance Optimization, and Analytics and Insights teams
  • Collaborate with CX Suite Leads to create value-focused technical roadmaps
  • Own budget and resource allocation across capabilities and teams
  • Translate product roadmaps into scalable technology architectures and development plans
  • Assess AI solution impact and value, design solution architectures, and develop prototypes and pilots as needed
  • Ensure technical planning supports consistent KPI frameworks, governed measurement, and decision-ready analytics
  • Lead development of consolidated insights, enterprise reporting, digital analytics, in-house marketing mix, and predictive analytics products
  • Ensure development best practices and responsible, ethical AI practices are followed
  • Partner on workforce planning, capability development, and operating model evolution
  • Manage vendor partners and ensure quality delivery aligned with objectives
  • Act as primary technical accountability point for Customer Analytics & Insights and Performance Analytics & Optimization suites
  • Coordinate roadmap dependencies, integrations, and architectural decisions with technical and platform teams
  • Partner with Suite Leads and business teams to shape product experience and translate user needs into scalable solutions
  • Represent technical architecture, platforms, and delivery considerations in domain, cross-suite, and executive forums
  • Align shared data infrastructure, integration standards, and AI/ML enablement across teams
  • Lead resolution of technical cross-team issues affecting performance or adoption
  • Develop people managers and foster collaboration, inclusion, belonging, and high performance

Requirements

What you’ll need
  • Bachelor’s degree in computer science, engineering, information systems, or related technical field preferred
  • 10+ years of experience after Bachelor’s degree, or 8+ years of experience after Master’s degree, in data engineering, technical data/analytics architecture, or enterprise platform delivery management
  • 5+ years of experience with programming languages such as Python and R for advanced analytics and AI, including cloud data platforms such as Redshift and Snowflake
  • 5+ years of experience as a Tech Lead, Technical Program Manager, Engineering Manager, or similar role managing a team of developers
  • Demonstrated experience delivering enterprise-scale analytics, reporting, or modeling platforms such as Power BI, In-house Marketing Mix Solution, and Predictive Analytics Products
  • Hands-on experience with Python and R for analytics and data engineering
  • Experience with Redshift and Snowflake for data sourcing, transformation, and integration
  • Experience guiding technical architecture within complex, matrixed organizations
  • Experience using Agile and Product Operating Model principles
  • Proven ability to lead and mentor development teams and technical leaders
  • Extensive experience with predictive model development, design, explainability, deployment, monitoring, drift detection, retraining, and retirement
  • Strong experience leading Analytics, Advanced Analytics, and AI development teams
  • Experience evaluating AI solutions, designing MVPs/pilots, A/B testing, and defining success metrics
  • Understanding of software architecture, cloud platforms, and modern engineering frameworks
  • Experience designing scalable, secure, and compliant analytics and AI solutions
  • Experience with enterprise digital platforms, business intelligence, analytics platforms, marketing mix solutions, and predictive analytics products
  • Experience designing and governing enterprise analytics data models, including star schemas, semantic models, DAX/Power BI, KPI definitions, and reusable datasets
  • Experience delivering enterprise reporting solutions using development standards, CI/CD practices, quality gates, data contracts, refresh SLAs, lineage, and metric consistency
  • Strong knowledge of system integration patterns, APIs, and data architecture
  • Experience working within Agile product development teams and product operating models
  • Understanding of security, compliance, and regulatory requirements
  • Technical program management capabilities and vendor relationship management
  • Experience leading and developing high-performing teams, including resource planning, performance management, and talent development
  • 10-20% travel required

Benefits

Comp & perks
  • Discretionary annual cash bonus or incentive compensation
  • Discretionary equity grants
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k retirement savings plan
  • Flexible paid vacation
  • 10-20% travel required