AI-Driven Data Analytics Lead (Remote)

Veeva Systems; New York (NY); Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible PTO

Retirement programs

1% charitable giving program

Job summary

Veeva Systems seeks a Data Analytics Lead for Veeva Ostro to own data systems, measurement analyses, and AI-ready insights at the intersection of products, customers, and commercial strategy. This role drives advancements in data architecture and scalable analytics for life sciences clients.

You will architect and scale the next generation data platform, collaborate with product, client services, and implementation teams, and mentor a team of analysts and engineers to deliver actionable insights

Qualifications

• 10+ years of progressive experience in data science/analytics and/or data engineering.
• Strong SQL and Python; data modeling and large data sets.
• Experience enabling AI readiness in data architectures.
• Leadership experience directing teams.
• Recent work in the pharmaceutical or life sciences sector.
• Technical degree in CS, statistics, engineering, math or physics.

Responsibilities

• Own data systems and measurement analyses at product, customer, and commercial levels.
• Architect, build, and scale a modern, AI-ready data platform.
• Partner with product, client services and solutions engineering on analyses.
• Deliver client-specific analyses reflecting each strategy.
• Lead and mentor a team of data analysts and data engineers.

Skills

SQL

Python

Data modeling

Quantitative analysis

Large data sets

AI readiness

Leadership

Team mentorship

Education

Undergrad or masters in CS/Statistics/Engineering/Math/Physics

Job description

Veeva Systems seeks a Data Analytics Lead for Veeva Ostro to own data systems, measurement analyses, and AI-ready insights at the intersection of products, customers, and commercial strategy. This role drives advancements in data architecture and scalable analytics for life sciences clients.

You will architect and scale the next generation data platform, collaborate with product, client services, and implementation teams, and mentor a team of analysts and engineers to deliver actionable insights