Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Product Owner
Technical Product Owner
Databricks
AI/ML
Databricks workflows
RAG (Retrieval-Augmented Generation)
model engineering
prompt engineering
Azure
AWS
Cloud
AI models
LLMs
RAG pipelines
Azure AI
AWS Bedrock
OpenAI
Job Details
Job Title: Technical Product Owner Databricks & AI
Job Location: 100% Remote
Job Duration: 12+ Months contract
About the Role:
We are seeking a highly skilled Technical Product Owner with strong expertise in Databricks, AI/ML, and advanced data engineering practices. The ideal candidate will bridge the gap between business stakeholders and technical teams, driving the development and delivery of data-driven products and AI-powered solutions.
Key Responsibilities:
- Act as the primary liaison between business, data engineering, and AI/ML teams.
- Own and manage the product backlog for data and AI initiatives, ensuring clear prioritization and alignment with business goals.
- Define product requirements and user stories related to Databricks workflows, RAG (Retrieval-Augmented Generation), model engineering, and prompt engineering.
- Collaborate with data scientists, ML engineers, and data analysts to deliver scalable and efficient AI-driven solutions.
- Ensure seamless integration of Databricks in both Azure and AWS ecosystems for analytics, model training, and deployment.
- Drive experimentation and optimization of AI models, LLMs, and RAG pipelines for real-world use cases.
- Monitor product performance, identify improvements, and ensure delivery of high-quality data products.
Required Skills & Qualifications:
- 5+ years of experience as a Technical Product Owner, Data Product Manager, or similar role.
- Strong hands-on knowledge of Databricks (Azure & AWS environments).
- Proven experience with prompt engineering, RAG, and model engineering.
- Solid understanding of AI/ML concepts, LLMs, and data pipelines.
- Strong background in data analytics, data engineering, and product lifecycle management.
- Excellent communication, stakeholder management, and requirement-gathering skills.
Preferred Skills:
- Experience in cloud-native AI services (Azure AI, AWS Bedrock, OpenAI, etc.).
- Familiarity with MLOps, CI/CD pipelines, and model deployment practices.
- Background in data governance, compliance, and performance optimization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.