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Full-Time

QA Manager

Confirmed live in the last 24 hours

Allergan Data Labs

Allergan Data Labs

201-500 employees

Data-driven digital marketing for medical aesthetics

Data & Analytics
Healthcare
Consumer Goods

Compensation Overview

$125.5k - $238.5kAnnually

+ Short-term Incentive Programs + Long-term Incentive Programs

Senior

Remote in USA

Category
QA & Testing
Quality Assurance
Required Skills
Datadog
JavaScript
Data Science
Jest
GraphQL
AWS
Mocha
iOS/Swift
Android Development
Snowflake
Requirements
  • 5+ years as a QA Engineer or Software Engineer, with a strong background in QA process, techniques and tools.
  • 3+ years of experience building highly effective QA teams, implementing best practices, establishing KPIs, and using data to drive and improve testing strategy
  • In-depth familiarity with a variety of testing methodologies including unit, integration, functional, manual, load and regression.
  • Experience testing complex Data Science and ML projects is a plus.
  • Experience testing GraphQL a plus.
  • Experience with ETL and data warehouse testing (Snowflake).
  • Experience in managing QA pipelines within CI/CD environments.
  • Experience with Amazon Web Services.
  • Experience with application monitoring and logging tools (Datadog, CloudWatch, etc.)
  • Experience writing primarily JavaScript tests using frameworks tools like Jest, LambdaTest, Mocha/Chai, WebDriverIO, and Playwright.
  • iOS/Android testing experience is a plus.
Responsibilities
  • Foster a collaborative, respectful, and continuously learning team environment.
  • Mentor and coach QA team members in technical leadership and career development.
  • Define and implement a comprehensive product test strategy and execution plan.
  • Lead reviews for functional, integration, regression, and end-to-end testing efforts.
  • Analyze the technical and functional aspects of applications to identify optimal test strategies, best practices, and detailed test plans.
  • Plan, coordinate, and manage both manual and automated testing activities.
  • Continuously adopt and implement test automation strategies, staying current with industry trends and technologies.
  • Drive initiatives that reduce time to market and enhance overall efficiency of all testing processes.
  • Establish and maintain a process for identifying, analyzing, and prioritizing issues effectively.
  • Interview, hire, and mentor a cohesive team that exemplifies passion, ownership, and excellence.
  • Serve as a strong advocate for product quality, providing clear quality metrics and status updates to stakeholders.

Allergan Data Labs enhances Allergan's medical aesthetics business by using data to create personalized digital marketing strategies. They focus on consumers interested in cosmetic treatments and procedures, providing tailored marketing campaigns based on individual preferences and behaviors. This approach improves consumer engagement and helps retain customers by fostering loyalty through customized interactions. The company generates revenue by driving interest and sales for Allergan's products and services, measuring success through the performance of their marketing efforts. The team consists of experts in digital marketing, data science, and customer relationship management, working collaboratively to implement effective strategies. The goal of Allergan Data Labs is to create seamless and engaging digital experiences for consumers in the medical aesthetics market.

Company Stage

N/A

Total Funding

N/A

Headquarters

Irvine, California

Founded

2018

Growth & Insights
Headcount

6 month growth

6%

1 year growth

6%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at Allergan Data Labs offers the opportunity to be at the forefront of digital marketing innovation in the rapidly growing medical aesthetics industry.
  • The company's emphasis on data-driven strategies provides employees with valuable experience in cutting-edge data analytics and personalized marketing.
  • A collaborative and transparent work environment fosters professional growth and ownership, making it an attractive workplace for top talent.

What critics are saying

  • The performance-based revenue model means that job security could be closely tied to the success of marketing campaigns, adding pressure to deliver results.
  • Operating in a niche market like medical aesthetics may limit broader career opportunities for employees outside this specialized field.

What makes Allergan Data Labs unique

  • Allergan Data Labs leverages advanced data analytics to create highly personalized marketing campaigns, setting them apart from traditional marketing firms.
  • Their focus on the medical aesthetics market allows them to specialize and deeply understand consumer needs in this niche, unlike broader healthcare marketing agencies.
  • The integration of digital marketing, data science, and CRM expertise within one team enables Allergan Data Labs to deliver cohesive and effective marketing strategies.

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