Director, CX Advanced Analytics – AI Technical Suite Lead

🔥 16 hours ago

🏄 California, Pennsylvania – Remote

🏄 California – Remote 🔔 Pennsylvania – Remote

💵 $188k - $282k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Jazz Pharmaceuticals

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

🏭 Manufacturing

🧬 Biotechnology

Healthcare • Manufacturing • Biotechnology

Jazz Pharmaceuticals is a biopharmaceutical company dedicated to developing innovative medicines that address serious unmet medical needs. With a strong commitment to research and development, Jazz focuses on creating life-changing therapies, emphasizing the importance of collaboration, diversity, and employee engagement in its operations. The company prides itself on transforming patients' lives through its meaningful product offerings and a culture that fosters enthusiasm and flexibility.

📋 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

🏖️ Benefits

• 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