SUMMARY:
The LEAD PRODUCT OWNER is the business champion and team linguist that is accountable for maximizing the value of the product results from the work of the development team. You own the details of the business value delivered at the team level. You translate business requirements into product requirements to ensure that the product delivers on user needs. You will be assigned to a Team(s) based on the size, scale and complexity of the technology, that best aligns with your skills and experience.
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
Skilled in managing cross-functional data science development teams (scientists and technologists with diverse skillsets) in an agile environment
Experience defining goals, user stories, and prioritizing machine learning and artificial intelligence solutions
Experience gathering user requirements for data science solutions
Experience building and delivering sophisticated systems that leverage various machine learning algorithms or technologies that integrate well with other organization-wide systems and are able to scale optimally.
Partner with the Science Program lead to design, develop, and launch ML/ AI algorithms and/or solutions that become widely adopted across the enterprise.
Skilled in managing business priorities against design/user needs while delivering against product roadmaps
Skilled in managing end-to-end data science solutions and services
Stakeholder management skills experienced in building and managing stakeholder relationships to influence and drive change
Problem solving, critical thinking and analytical skills
Planning, organizational and time management skills
Comfort with ambiguity remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks
Exhibits qualities of and have proven to be a great teammate
Verbal and written communication skills, ability to translate between business and technical
Technical acumen grasps the technical details of data science, machine learning, and artificial intelligence
4-6 years relevant experience in data science capability development
Education: Bachelor's degree or equivalent experience