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Senior Data Product Manager

Remote: 
Full Remote
Contract: 
Salary: 
48 - 190K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

7+ years product management experience in healthcare data products, Experience in RWE, health tech software development, and user research.

Key responsabilities:

  • Establish requirements and success criteria for disease specific data modules
  • Work collaboratively with stakeholders to ensure timely delivery of products
  • Collaborate with engineering team to deliver high-quality products on time
  • Ensure products meet needs of life-science partners and medical research customers
Verana Health logo
Verana Health Scaleup https://www.veranahealth.com/
51 - 200 Employees
See more Verana Health offers

Job description

About Us

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

Our team is reinventing how medical research happens with data and technology. This is a company built by and for people who are looking to get out of their comfort zone and try new things, who want to learn and grow quickly, and who seek to be part of a mission-driven team committed to improving patient lives. Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NV, NY, OH, PA, SC, TN, TX, UT , VA, WA, Washington D.C. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. 

Job Overview

As Senior Data Product Manager, you will support the product strategy and roadmap for our data as a service (DaaS) offerings. In this role, you will establish requirements and success criteria for disease area specific data modules, and work to obtain broad stakeholder approval for these requirements. You will also work closely with the quantitative sciences and engineering teams to estimate timelines and shepherd the code through to timely delivery.

Role and Responsibilities:

You will have ownership and responsibility for ensuring that our data products are focused on customer-facing business value and work collaboratively to create consensus across multiple stakeholders including Quantitative Sciences, Medical, Clinical and Engineering. You will work closely with the engineering team to ensure that all products are delivered on time and to the highest quality standards.  Your day-to-day work will involve working closely with the Clinical team, Quantitative Science team, and the development team to ensure that our products meet the needs of our life-science partners and medical research customers. 

Basic Requirements:  

  • 7+ years of product management experience in a regulated environment, with a focus on healthcare data products.
  • Experience in product development and user research methodology for complex enterprise web applications, as well as experience with RWE and/or health tech software development.
  • Strong communication skills, stakeholder management skills, and an ability to collaborate with subject matter experts are essential for this role.
  • Have an understanding of how to manage releases, mitigate impact of changes, and evaluate build, buy, partner decisions.
  • Experience managing complex and changing internal and external priorities, as well as experience working with remote engineering teams,
  • You identify and convert customer needs and pain points into GTM channels and offerings using a product and technology lens.
  • You operate efficiently in a fast-paced environment and make reasonable decisions when faced with ambiguity.

Bonus:

  • Healthcare Data Science experience. 
  • An understanding of the ophthalmology, urology, and/or neurology clinical domains.

Benefits:

  • We provide 100% health, vision, and dental coverage for employees 
    • Up to 90% for dependents
  • 401K Match
  • Flexible vacation plans 
  • $700 learning and wellness annual stipend 
  • $25/wk in Doordash credit 
  • Headspace meditation app access

Final note

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

 

 

Verana Health is committed to complying with all applicable pay transparency laws and supports equitable pay practices. We pay based on a market-based approach, supported with robust data and in alignment with the compensation of our existing team. We construct our compensation ranges based on the US national average but your pay may vary depending on your location and the cost of living index for that geographic area. In determining an offer, base salary will also be based on experience, qualifications, skills and market conditions.

Please note pay ranges for major metropolitan areas may be different.
National Pay Range
$152,000$190,000 USD

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Decision Making

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