Product Owner
Lexical Intelligence
Technical Product Owner
Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for a Technical Product Owner to drive the roadmap and strategy for our AI/ML-powered NLP and analytics software. This role requires deep experience in software development lifecycle management, agile methodologies, and biomedical data analytics, with a focus on product ownership for Artificial Intelligence capabilities. The Product Owner will have a firm understanding of portfolio analysis tools, user experience design, and stakeholder engagement. The Product Owner shall be able to work well within a team of scientists, software engineers, data scientists, and technical writers. The selected applicant will be subject to a pre-employment background and reference check. Required Qualifications- 5+ years of product management experience in software development
- Bachelor's degree or other degree(s) in Computer Science, Information Systems, Bioinformatics or related fields
- Experience with agile development methodologies (Scrum, Kanban)
- Demonstrated ability to translate user needs into technical requirements
- Strong communication skills and ability to work with diverse stakeholders
- Experience with AI/ML integration into software applications and managing the product lifecycle of machine learning models.
- Demonstrated systems thinking experience, including evaluating end-to-end workflows, cross-functional dependencies, and downstream impacts of product decisions
- Experience working with federal agencies, particularly NIH
- Experience with portfolio analysis tools and biomedical data systems
- Knowledge of bibliometrics, graph theory, or natural language processing
- Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories
- Familiarity with UI/UX design principles and tools such as Miro
- Experience with cloud-based infrastructure (AWS GovCloud, STRIDES)
- Knowledge of biomedical research data sources and systems (IMPACII, PubMed, etc.)
- Experience with AI/ML integration into software applications
- Familiarity with MLOps (Machine Learning Operations) practices and tools.
- Experience defining user stories and technical requirements specifically for AI features (e.g., model performance metrics, data requirements, and feedback loops).
Vacancy posted 2 days ago
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