Product Manager/Artificial Intelligence Specialist
2 days ago
At S2 Analytical Solutions, we are seeking a highly skilled Product Manager/Artificial Intelligence Specialist to join our team. This is a critical role that requires a unique blend of business acumen, technical expertise, and leadership skills.
Job Summary:The Product Manager/Artificial Intelligence Specialist will be responsible for leading the development and deployment of AI and machine learning products and solutions. This individual will work closely with cross-functional teams to translate user needs into product strategies and drive the development of innovative solutions.
Key Responsibilities:- Analyze large datasets to identify patterns and recommend solutions that improve client capabilities.
- Identify valuable data sources and automate data collection processes.
- Develop and maintain relationships with stakeholders, including data scientists, engineers, and military professionals.
- Collaborate with software engineering teams to design and develop user experiences that meet the standards expected by the Intelligence Community, Department of Defense, and government workforce.
- Support the entire product development lifecycle, from conceptualization and design to implementation and evaluation.
- Bachelor's degree in a relevant field, such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline.
- 6+ months of experience in AI space.
- Agile/scrum experience and familiarity with Agile methodologies or certifications, such as Scrum Master.
- Working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML).
- Adaptive learning and AI curiosity, with a relentless passion for learning and self-improvement, particularly in the AI domain.
- Relevant certifications or additional education in Product Management, Project Management, or a related field.
- Lead high-performing teams delivering IT solutions.
- AI/ML familiarity, an understanding of AI/ML concepts, algorithms, and current trends.
- Cross-functional collaboration, experience working with diverse teams, such as data scientists, engineers, vendors, and military professionals.
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