Director, CX Analytics & Optimization Technical Suite Lead
Jazz Pharmaceuticals
September 03, 2026
Remote friendly (Philadelphia, PA)
United States
IT
Essential Functions/Responsibilities
Leadership, Strategy, & Technical Roadmap Development
- Set and drive technical direction for Customer Analytics & Insights and Performance Analytics & Optimization teams.
- Collaborate with CX Suite Leads to create value-focused roadmaps for Customer Experience ambitions.
- Own budget and resource allocation; make investment decisions to maximize impact and long-term value.
- Translate product roadmaps into scalable architectures and development plans; assess feasibility, dependencies, and risks with Enterprise AI & Analytics Automation leads.
- Ensure KPI frameworks, governed measurement, and decision-ready analytics across brands and channels.
- Ensure teams build scalable, secure, reliable solutions for: Consolidated Insights Products, Enterprise Reporting Products (e.g., Power BI), Digital Analytics Products & In-house Marketing Mix Solution, and Predictive Analytics Products.
- Partner on workforce planning and operating model evolution.
- Manage vendor partners for accountability, quality delivery, and alignment to objectives.
Cross-Functional Collaboration
- Primary technical point of accountability across both suites; partner with architects, security, and data teams.
- Coordinate dependencies, integrations, and architecture with Tech Leads, Capability Owners, development teams, and platform teams.
- Represent technical architecture/delivery considerations in forums; resolve cross-team technical issues.
- Align with CX Data and Enterprise Data & AI leads on data infrastructure, integration standards, and AI/ML enablement.
Technical Skills (Required)
- Deep software architecture/cloud expertise; designing scalable, secure, compliant enterprise solutions.
- Experience with enterprise BI/analytics, marketing mix, and predictive analytics products (configuration, integration, governance).
- Analytics data modeling (star schemas/semantic models like DAX/Power BI), KPI definitions, reusable datasets; analytics engineering and performance optimization.
- CI/CD, quality gates; define data contracts, refresh SLAs, lineage, metric consistency.
- Predictive model engineering: deployment, monitoring, drift detection, retraining/retirement; explainability and governance.
- Integration patterns, APIs, data architecture; Agile product development.
Qualifications
- Bachelor’s degree in CS/engineering/IS or related.
- 10+ years post-Bachelor’s (or 8+ post-Master’s) in software engineering, technical architecture, or enterprise platform delivery management.
- 3+ years as Tech Lead/Tech Program Manager/Engineering Manager or equivalent dev-leadership role.
- 6–8 years leading people.
- Enterprise-scale analytics/reporting/modeling delivery experience (e.g., Power BI, marketing mix, predictive).
- Hands-on Python/R; cloud data platforms (Redshift/Snowflake).
- Experience guiding architecture in matrix organizations; Agile/Product Operating Model experience.
- Lead/mentor development teams.
Preferred
- Advanced degree.
- Pharma/healthcare experience.
- Product-based operating model partnership experience.
- Rare disease/specialty brands experience.
Working Requirements
- 10–20% travel.
Leadership, Strategy, & Technical Roadmap Development
- Set and drive technical direction for Customer Analytics & Insights and Performance Analytics & Optimization teams.
- Collaborate with CX Suite Leads to create value-focused roadmaps for Customer Experience ambitions.
- Own budget and resource allocation; make investment decisions to maximize impact and long-term value.
- Translate product roadmaps into scalable architectures and development plans; assess feasibility, dependencies, and risks with Enterprise AI & Analytics Automation leads.
- Ensure KPI frameworks, governed measurement, and decision-ready analytics across brands and channels.
- Ensure teams build scalable, secure, reliable solutions for: Consolidated Insights Products, Enterprise Reporting Products (e.g., Power BI), Digital Analytics Products & In-house Marketing Mix Solution, and Predictive Analytics Products.
- Partner on workforce planning and operating model evolution.
- Manage vendor partners for accountability, quality delivery, and alignment to objectives.
Cross-Functional Collaboration
- Primary technical point of accountability across both suites; partner with architects, security, and data teams.
- Coordinate dependencies, integrations, and architecture with Tech Leads, Capability Owners, development teams, and platform teams.
- Represent technical architecture/delivery considerations in forums; resolve cross-team technical issues.
- Align with CX Data and Enterprise Data & AI leads on data infrastructure, integration standards, and AI/ML enablement.
Technical Skills (Required)
- Deep software architecture/cloud expertise; designing scalable, secure, compliant enterprise solutions.
- Experience with enterprise BI/analytics, marketing mix, and predictive analytics products (configuration, integration, governance).
- Analytics data modeling (star schemas/semantic models like DAX/Power BI), KPI definitions, reusable datasets; analytics engineering and performance optimization.
- CI/CD, quality gates; define data contracts, refresh SLAs, lineage, metric consistency.
- Predictive model engineering: deployment, monitoring, drift detection, retraining/retirement; explainability and governance.
- Integration patterns, APIs, data architecture; Agile product development.
Qualifications
- Bachelor’s degree in CS/engineering/IS or related.
- 10+ years post-Bachelor’s (or 8+ post-Master’s) in software engineering, technical architecture, or enterprise platform delivery management.
- 3+ years as Tech Lead/Tech Program Manager/Engineering Manager or equivalent dev-leadership role.
- 6–8 years leading people.
- Enterprise-scale analytics/reporting/modeling delivery experience (e.g., Power BI, marketing mix, predictive).
- Hands-on Python/R; cloud data platforms (Redshift/Snowflake).
- Experience guiding architecture in matrix organizations; Agile/Product Operating Model experience.
- Lead/mentor development teams.
Preferred
- Advanced degree.
- Pharma/healthcare experience.
- Product-based operating model partnership experience.
- Rare disease/specialty brands experience.
Working Requirements
- 10–20% travel.