Data Analytics Lead - Veeva Ostro
Massachusetts - Boston
- Pay
$200,000–300,000/year · BaseAnnual period assumed · Location-specific pay — pay source
Compensation Base pay: $200,000 - $300,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingUpgrade the data architecture to be high fidelity, AI-ready, and accessible
Guide data integrations into select customer systems with solutions engineering
Uplevel standard analytics and measurement insights with the product team
Execute client-specific custom analyses with the client services team
Direct and grow a team of data analysts and data engineers
From the employer’s posting
upgrade our existing data architecture to be high fidelity, AI-ready, and easily accessible for both internal and external users
Guide the execution of data integrations into select customer systems in partnership with our solutions engineering team
Uplevel our standard suite of analytics and measurement insights in partnership with our product team
Execute on client-specific, custom analytical requests in partnership with our client services team
Direct and grow a team of data analysts and data engineers
What you’ll bring
All qualificationsCore experience
- 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
- 1% charitable giving program
Qualification wording
10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
1% charitable giving program
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
Requirements - Deep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets - Strong 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 build
Posting record
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- Live
- First seen by us
- Aug 21, 2026 · 64 days ago
- Recorded sightings
- 199
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
The Role
What You'll Do
- 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 users
- Customer Data Integrations: Guide the execution of data integrations into select customer systems in partnership with our solutions engineering team
- Product Analyses: Uplevel our standard suite of analytics and measurement insights in partnership with our product team
- Custom Analyses: Execute on client-specific, custom analytical requests in partnership with our client services team
- Leadership & Team Mentorship: Direct and grow a team of data analysts and data engineers
Requirements
- Deep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets
- Strong 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 build
- 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
- Recent 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.)
Interviewing with Veeva
- Follow the application process and submit your resume.
- If moving to the interview stage, our process is as follows:
- A conversation with the hiring manager
- A personality assessment
- A practical case exercise
- A final conversation with our group's Senior Leader
- Once all interviews are complete, the manager will be in touch with a final decision.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $200,000 - $300,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation Base pay: $200,000 - $300,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
- Location & working pattern
Massachusetts - Boston
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting