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:
High performance standards
Learner attitude, be comfortable out of "comfort zone"
Wellness -oriented lifestyle
Openness to constructive feedback
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
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
Scheduled Weekly Hours