Join a progressive company in the reinsurance industry that truly values and appreciates their employees!

Company Information

• Since its establishment over 45 years ago, this company has become a leader in the global life reinsurance industry.They deliver expert solutions in individual life reinsurance, individual living benefits reinsurance, group reinsurance, financial solutions and more.
• The firm was recognized by the Asia Insurance Review as "Life Reinsurer of the Year" at the 2018 Asia Insurance Industry Awards for the second consecutive year.
• The firm was also ranked #97 among 500 companies in the Forbes 2018 Global 2000: World's Best Employers listing.
  

How the Company Appreciates You

• Competitive compensation
• Health and welfare insurance
• Paid Time Off
• Retirement benefits
• Education Assistance
• Onsite fitness center and dining options
• Bonus opportunities and more
  

The Role You Will Play

• The Global Product Portfolio Manager - Data Product will lead, manage, and direct the product planning and execution throughout the product lifecycle, including engagement in the product development cycle partnering with the product teams, sales & marketing and underwriting to ensure commercial solutions are developed for scale execution.
• The specific area of responsibility for this role will be to direct the development of the market-facing data & analytics product platform.
• In this role, you will gain access to a wealth of opportunity within the company - building a strong team from within is a top priority with this firm.
  

Community Information

• This opportunity is based in Saint Louis, Missouri, at the company’s corporate office – an exceptional office space with state-of-the-art fitness center and a variety of options for dining.
• Saint Louis offers a culture of innovation and excellence paired with historic and iconic city sights.
• With an affordable cost of living, Saint Louis is a great place to live.
  

Background Profile

• 10+ years of related experience including data and analytics, data monetization, data science, product development, and/or software engineering
• Expertise in executing data strategies that pertain to how data will be generated, collected, consumed and monetized
• Working knowledge to utilize data generated by a product to improve the product, algorithmically or otherwise
• Exposure to life, annuity, health insurance or risk management
• Bachelor’s degree in Computer Science, Business, Mathematics, Actuarial Sciences, Statistics, or related field