Product Manager - Machine Learning - Remote

NAVA Software solutions is looking for a Product Manager - Machine Learning Details: Product Manager - Machine Learning

Job Functions: Within the role, the Lead Product Manager will: Develop and manage end-to-end Machine Learning technical product solutions. Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption. Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives Rely upon design thinking / growth mindset to approach business problems with a strategic view Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities Champion new Machine Learning capabilities, functions, and processes within and across the organization Education/Experience Requirements: Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines Familiarity with advanced reporting and analytics tools. Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes