HonorHer Jobs


Job Information

Humana Wellness Platform Integration Lead in Louisville, Kentucky


Diversify and accelerate growth of our business through interoperability and open new business opportunity by decoupling and re-combining our data assets and wellness capabilities with others from Humana and within market-based partnerships and ecosystems.



Achieve full interoperability of our data and capabilities with ECOM within 3 years , enable 3 select Wellness capabilities to become "stand alone" value streams within 2 years, create new value ( revenue, new products/features, health outcomes) from 3 Wellness "Data as a Product " opportunities. Within 2 years, create plug and play integration platform for rapid partnerships and data exchanges.


Business -Technical bridging - able to wear both IT and Business hats to drive collaboration Data savviness - be highly familiar with analytics and data science technologies, systems and applications Interoperability/connectivity acumen - proficient in APIs and other interoperability solutions Entrepreneurial mindset - able to identify and implement new business opportunities , while motivating defenders of status quo to contribute Creative Problem Solving- able to untangle and re-frame complex problems; and to generate creative, 1+1 =3 solutions, using pieces derived from highly distributed systems Results Driven - lives up to commitments , regardless of obstacles

Culture related competencies:

  • Integrity

  • High performance standards

  • Learner attitude, be comfortable out of "comfort zone"

  • Wellness -oriented lifestyle

  • Openness to constructive feedback

Required Qualifications

  • Bachelor's degree

  • 5 or more years of digital product experience

  • 2 or more years of project leadership experience

  • Experience building and maintaining analytic data sets

  • Working knowledge of ad-hoc query tools and data repositories that support data extraction and manipulation

  • Experience using Structured Query Language

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

  • Experience with SAS and/or SPSS

  • Experience with large data sets and health-care data

  • Intermediate to advanced experience in programming, analytical work, research and/or statistics

Additional Information

Scheduled Weekly Hours