AI Product Manager
First American
AzureCloudPythonSQL
Data Product Lead
Leidos
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $89,700 - $162,150 per year
Job Level
Senior
Tech Stack
CloudInformatica
About the role
- Drive the design, and delivery of high-value data products that enable advanced analytics, AI/ML, and agentic AI use cases
- Partner with functional team leadership to co-own the vision, roadmap, and success criteria for specific data products that support business operations, AI/ML, and agentic AI solutions
- Collaborate with functional data product owners to capture business needs and translate them into technical requirements
- Coordinate technical staff (data engineers, architects, data scientists, governance specialists) to deliver scalable, reliable, and AI-ready data products
- Ensure alignment of data products with enterprise data architecture, governance, and quality standards
- Partner with Data Scientists and AI Engineers to ensure data products support advanced ML, GenAI, and agentic AI use cases
- Apply a product development mindset, focusing on usability, reusability, adoption, and measurable business value
- Track and report on product performance, usage, and ROI, adjusting roadmaps as needed
- Act as a champion for data products, promoting awareness, adoption, and training across the organization
- Drive continuous improvement by incorporating feedback loops from business users and technical teams
- Contribute to the development of data product standards, documentation, and playbooks.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Business, or related field
- 8+ years of relevant experience; additional years of experience may be substituted in lieu of a degree
- Proven experience in product management or product leadership, ideally with data or analytics platforms
- Strong understanding of data platforms and pipelines (e.g., Snowflake, Informatica, Immuta, Collibra, cloud data services)
- Familiarity with AI/ML concepts and how data products enable advanced AI solutions
- Excellent skills in requirements gathering, backlog management, and stakeholder engagement
- Ability to coordinate cross-functional technical teams (engineering, architecture, governance, science)
- Strong business acumen and ability to translate business needs into technical data product requirements.
- Excellent communication
- US citizenship required.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data product managementadvanced analyticsAI/MLdata architecturedata governancedata pipelinesrequirements gatheringbacklog managementstakeholder engagementproduct development
Soft skills
communicationbusiness acumencollaborationleadershipcontinuous improvementusability focusreusability focusadoption focuschampioningfeedback incorporation
