Director, CX Advanced Analytics – AI Technical Suite Lead

Jazz Pharmaceuticals · via PraxTor

💰 $188,000 - $282,000/yr 🌎 Remote 📍 Remote, California ⌛ Posted 13 days ago

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Job Description:

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:

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