Data Analytics Lead at Lifelancer

Veeva Ostro sits at the intersection of life sciences, marketing, and artificial intelligence. We empower pharmaceutical brands, healthcare providers (HCPs), and patients by orchestrating AI-enabled omnichannel engagement across the entire patient and prescriber lifecycle.As the Data Analytics Lead, you will own the data systems and associated measurement analyses that sit at the intersection of our products, customers, and commercial strategy. Our products generate significant data as users ask questions and take action, and you will work with the product team to surface and execute on insights that govern how our product evolves. This data is also used by our customers in their planning efforts, and you will work closely with our client service and implementation teams to enable and deliver on customized analyses that reflect the nuances of each client’s strategy. To deliver on the above, you will proactively architect, build, and scale the next generation of our data platform to make it modern, scalable, and AI-ready.The RoleVeeva Ostro sits at the intersection of life sciences, marketing, and artificial intelligence. We empower pharmaceutical brands, healthcare providers (HCPs), and patients by orchestrating AI-enabled omnichannel engagement across the entire patient and prescriber lifecycle.Modern Data Architecture & Engineering: Work alongside platform and data engineers to upgrade our existing data architecture to be high fidelity, AI-ready, and easily accessible for both internal and external usersCustomer Data Integrations: Guide the execution of data integrations into select customer systems in partnership with our solutions engineering teamProduct Analyses: Uplevel our standard suite of analytics and measurement insights in partnership with our product teamCustom Analyses: Execute on client-specific, custom analytical requests in partnership with our client services teamLeadership & Team Mentorship: Direct and grow a team of data analysts and data engineersRequirementsDeep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data setsStrong command of modern data architecture particularly in enabling AI readiness. You will not be the sole engineer building every component yourself, but you need enough technical depth to actively participate in the design and build10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teamsRecent work experience should relate to the pharmaceutical / life sciences industry (not necessarily at a pharmaceutical / life sciences company)Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)Perks & BenefitsMedical, dental, vision, and basic life insurancePTO and company-paid holidaysRetirement programs1% charitable giving program

Data Analytics Lead

Emma

Responsibilities

Skills wanted:

Language(s) required:

Jayesh Pandya

Jayesh Pandya

About Lifelancer:

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lifelancer.com/

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