Start Date
Immediate
Expiry Date
09 Dec, 25
Salary
0.0
Posted On
10 Sep, 25
Experience
10 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Analytics, Segmentation, Data Engineering, Communication Skills, Sql
Industry
Information Technology/IT
ABOUT KLICK HEALTH
Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that’s an asset. If you feel like you’d be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!
VICE PRESIDENT, DATA SOLUTIONS
We are seeking a Vice President, Data Solutions to lead the design, delivery, and activation of data-driven strategies across our healthcare and pharmaceutical client base. You will serve as a strategic bridge between data science, data engineering, and the solutions that connect them—ensuring that complex data is transformed into actionable intelligence that delivers meaningful impact for our clients.
In this role, you’ll oversee a team of data strategists and data scientists, collaborate closely with client leads and pitch teams, and shape both the technical roadmap and applied use cases for pharma commercialization, HCP/patient engagement, and brand performance.
You’re fluent in both SQL and C-suite—equally comfortable designing analytic frameworks and presenting them through executive-facing narratives. You understand the difference between an insight and a datapoint—and know how to operationalize both.
REQUIREMENTS: