Director, Analytics and Automation
Jazz Pharmaceuticals
2 months ago
Remote friendly (Philadelphia, PA)
United States
IT
Application:
- If you are a current Jazz employee, apply via the Internal Career site.
Responsibilities:
- Define and execute the enterprise analytics and automation strategy aligned to business priorities and digital transformation.
- Establish a roadmap for guided self-service, advanced analytics, and automation.
- Advise executive and functional leaders on analytics, automation, and insight generation.
- Drive value-based prioritization and ensure measurable business outcomes.
- Set and uphold analytics standards (data modeling, visualization standards, insight storytelling).
- Lead analytics-adjacent and process automation initiatives to improve efficiency, quality, and cycle time.
- Partner with automation, engineering, and business teams to identify and prioritize automation opportunities.
- Ensure automation solutions are well-governed, scalable, and aligned to enterprise architecture/standards.
- Oversee benefits tracking and post-implementation value realization for data/analytics products.
- Partner with data governance to improve data quality, KPI governance, metadata, and trust in outputs.
- Ensure compliance with regulatory, security, and privacy requirements.
- Lead teams (employees, CWs, offshore resources) and use consulting partners as needed.
- Promote responsible, ethical, and compliant use of data and analytics.
- Transform data into actionable insights and recommendations; support business leaders.
- Provide guidance on data visualization and UI/UX considerations.
- Collaborate to build a community of practice with functional analysts and data science leads.
Required Qualifications / Skills:
- 7+ years delivering data analytics projects (end-to-end data engineering, modeling, analytics delivery).
- Experience delivering solutions in cross-functional teams; agile and waterfall.
- Hub-and-spoke model experience (functional COEs + IT central capabilities).
- Fluency with SQL, Power BI, Power Automate, R, Python.
- Strong data visualization and data-driven storytelling.
- Ability to communicate complex results to diverse audiences.
- Prior biotechnology industry or consulting experience (required).
- Experience leading teams including MSPs, CWs, employees, and consulting partners.
- Travel: 10–20%.
Education:
- Bachelor’s or Master’s degree in computer science, data science, statistics, or related field.
- Preferred specialization in Data Analytics, Statistics, ML, or AI.
Benefits (explicitly stated):
- Medical, dental, and vision insurance; 401k retirement savings plan; flexible paid vacation.
- If you are a current Jazz employee, apply via the Internal Career site.
Responsibilities:
- Define and execute the enterprise analytics and automation strategy aligned to business priorities and digital transformation.
- Establish a roadmap for guided self-service, advanced analytics, and automation.
- Advise executive and functional leaders on analytics, automation, and insight generation.
- Drive value-based prioritization and ensure measurable business outcomes.
- Set and uphold analytics standards (data modeling, visualization standards, insight storytelling).
- Lead analytics-adjacent and process automation initiatives to improve efficiency, quality, and cycle time.
- Partner with automation, engineering, and business teams to identify and prioritize automation opportunities.
- Ensure automation solutions are well-governed, scalable, and aligned to enterprise architecture/standards.
- Oversee benefits tracking and post-implementation value realization for data/analytics products.
- Partner with data governance to improve data quality, KPI governance, metadata, and trust in outputs.
- Ensure compliance with regulatory, security, and privacy requirements.
- Lead teams (employees, CWs, offshore resources) and use consulting partners as needed.
- Promote responsible, ethical, and compliant use of data and analytics.
- Transform data into actionable insights and recommendations; support business leaders.
- Provide guidance on data visualization and UI/UX considerations.
- Collaborate to build a community of practice with functional analysts and data science leads.
Required Qualifications / Skills:
- 7+ years delivering data analytics projects (end-to-end data engineering, modeling, analytics delivery).
- Experience delivering solutions in cross-functional teams; agile and waterfall.
- Hub-and-spoke model experience (functional COEs + IT central capabilities).
- Fluency with SQL, Power BI, Power Automate, R, Python.
- Strong data visualization and data-driven storytelling.
- Ability to communicate complex results to diverse audiences.
- Prior biotechnology industry or consulting experience (required).
- Experience leading teams including MSPs, CWs, employees, and consulting partners.
- Travel: 10–20%.
Education:
- Bachelor’s or Master’s degree in computer science, data science, statistics, or related field.
- Preferred specialization in Data Analytics, Statistics, ML, or AI.
Benefits (explicitly stated):
- Medical, dental, and vision insurance; 401k retirement savings plan; flexible paid vacation.