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Technical Product Owner

Hybrid in Morris Plains, NJ, US • Posted 6 days ago • Updated 6 days ago

Full Time

No Travel Required

Able to Sponsor

Hybrid

$50/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Agile
Artificial Intelligence
Machine Learning (ML)
Product Management
Product Owner

Summary

Job Description:

Product Vision & Roadmap: Define and maintain a technical roadmap for AI/ML products, ensuring alignment with organizational goals and infrastructure capabilities.
Backlog Management: Author detailed technical user stories and acceptance criteria. Translate high-level business requirements into technical tasks for data scientists and ML engineers (e.g., specifying performance metrics like F1-score, precision/recall, or latency requirements).
Technical Stewardship: Collaborate with architects to ensure data quality, governance, and scalable model deployment strategies.
Stakeholder Management: Act as the primary interface between business units and the technical team, managing expectations regarding the iterative and probabilistic nature of AI development.
MLOps & Delivery: Oversee the integration of models into production environments, ensuring robust monitoring, feedback loops, and continuous retraining pipelines.
Data Strategy: Identify and prioritize data source acquisition, labeling efforts, and feature engineering requirements necessary for model success.

Required Qualifications

Experience: 5+ years of Product Management or Product Owner experience, with at least 2-3 years specifically focused on AI, Machine Learning, or Big Data products.
Technical Depth: Strong understanding of ML fundamentals (Supervised/Unsupervised learning, NLP, Computer Vision, or LLMs) and the CRISP-DM or similar data science lifecycles.
Tooling: Familiarity with ML frameworks (PyTorch, TensorFlow, Scikit-learn) and cloud platforms (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI).
Data Savvy: Proficiency in SQL and experience working with large-scale data environments (Snowflake, Databricks, or Hadoop).
Agile Proficiency: Expert knowledge of Agile/Scrum methodologies and experience using Jira or Azure DevOps for sprint planning.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.

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.

Dice Id: NM11535
Position Id: 8938126
Posted 6 days ago

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