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AI/ML Product Owner (Dataiku DSS)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Product Owner (Dataiku DSS) on a 12-month contract, hybrid in SF Bay Area/Alpharetta, GA, with a pay rate of $100-$120/hour. Requires 5+ years in data product management and 2+ years with Dataiku DSS.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
960
-
ποΈ - Date
December 2, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
Oakland, CA 94601
-
π§ - Skills detailed
#Agile #ML (Machine Learning) #GCP (Google Cloud Platform) #Data Governance #Databricks #Microsoft Power BI #BI (Business Intelligence) #AI (Artificial Intelligence) #Azure #Data Engineering #Model Evaluation #Python #AWS (Amazon Web Services) #Monitoring #Scrum #Tableau #Data Lake #Visualization #Stories #Dataiku #Computer Science #Strategy #Data Pipeline #Data Science #SQL (Structured Query Language) #Snowflake #R #Cloud
Role description
AI/ML Product Owner (Dataiku DSS)
Location: Hybrid in SF Bay Area/ Alpharetta, GA
12 month contract to hire
Pay rate: $100-$120/ hour W2
We are unable to provide visa sponsorship for this role.
Responsibilities
Β· Define and own the ML roadmap and project/feature backlog that is aligned with the enterprise AI/ML strategy.
Β· Facilitate ideation, project intake, and own the prioritization of high-value AI/ML use cases, ensuring business alignment and technical feasibility.
Β· Translate business problems into ML project requirements and user stories, ensuring clarity between business and technical teams.
Β· Collaborate with data scientists, data engineers, analysts, and business leads to guide project execution within ML platforms and workflows
Β· Ensure clear communication between technical and non-technical stakeholders translating model metrics and insights into business outcomes.
Β· Partner with Data Governance, MLOps, and Risk teams to ensure Dataiku ML projects adhere to enterprise governance standards.
Β· Provide oversight of the end-to-end model lifecycle within Dataiku and other AI/ML platforms to ensure timely and successful delivery.
Β· Drive adoption and literacy of Dataiku and other AI/ML platforms across analytics and business teams. Develop training and onboarding materials, champion user engagement, and cultivate an AI/ML community of practice.
Qualifications
Β· Bachelors or Masters degree in Computer Science, Data Science, Engineering, or Business Analytics.
Β· 5+ years of experience in data product management or product ownership roles.
Β· 2+ years of hands-on experience with Dataiku DSS in enterprise environments.
Β· Proficiency in the Dataiku ecosystem including Flow design, visual recipes, managed folders, scenarios, and model evaluation.
Β· Understanding of data pipelines, APIs, and integration points (e.g., Snowflake, Azure Data Lake, Databricks).
Β· Familiarity with Python, SQL, or R for AI/ML workflows.
Β· Working knowledge of MLOps, model drift monitoring, and AI governance practices.
Β· Experience with analytics visualization (Tableau, Power BI) or Dataiku dashboards.
Β· Experience leading cross-functional AI/ML teams using agile delivery frameworks.
Preferred Certifications
Β· Dataiku Core Designer, Advanced Designer, or ML Practitioner certification (strongly preferred).
Β· Certified Scrum Product Owner (CSPO) or equivalent Agile certification.
Β· Cloud certification (Azure, AWS, or GCP) a plus.
Pay: $100.00 - $120.00 per hour
Work Location: Hybrid remote in Oakland, CA 94601
AI/ML Product Owner (Dataiku DSS)
Location: Hybrid in SF Bay Area/ Alpharetta, GA
12 month contract to hire
Pay rate: $100-$120/ hour W2
We are unable to provide visa sponsorship for this role.
Responsibilities
Β· Define and own the ML roadmap and project/feature backlog that is aligned with the enterprise AI/ML strategy.
Β· Facilitate ideation, project intake, and own the prioritization of high-value AI/ML use cases, ensuring business alignment and technical feasibility.
Β· Translate business problems into ML project requirements and user stories, ensuring clarity between business and technical teams.
Β· Collaborate with data scientists, data engineers, analysts, and business leads to guide project execution within ML platforms and workflows
Β· Ensure clear communication between technical and non-technical stakeholders translating model metrics and insights into business outcomes.
Β· Partner with Data Governance, MLOps, and Risk teams to ensure Dataiku ML projects adhere to enterprise governance standards.
Β· Provide oversight of the end-to-end model lifecycle within Dataiku and other AI/ML platforms to ensure timely and successful delivery.
Β· Drive adoption and literacy of Dataiku and other AI/ML platforms across analytics and business teams. Develop training and onboarding materials, champion user engagement, and cultivate an AI/ML community of practice.
Qualifications
Β· Bachelors or Masters degree in Computer Science, Data Science, Engineering, or Business Analytics.
Β· 5+ years of experience in data product management or product ownership roles.
Β· 2+ years of hands-on experience with Dataiku DSS in enterprise environments.
Β· Proficiency in the Dataiku ecosystem including Flow design, visual recipes, managed folders, scenarios, and model evaluation.
Β· Understanding of data pipelines, APIs, and integration points (e.g., Snowflake, Azure Data Lake, Databricks).
Β· Familiarity with Python, SQL, or R for AI/ML workflows.
Β· Working knowledge of MLOps, model drift monitoring, and AI governance practices.
Β· Experience with analytics visualization (Tableau, Power BI) or Dataiku dashboards.
Β· Experience leading cross-functional AI/ML teams using agile delivery frameworks.
Preferred Certifications
Β· Dataiku Core Designer, Advanced Designer, or ML Practitioner certification (strongly preferred).
Β· Certified Scrum Product Owner (CSPO) or equivalent Agile certification.
Β· Cloud certification (Azure, AWS, or GCP) a plus.
Pay: $100.00 - $120.00 per hour
Work Location: Hybrid remote in Oakland, CA 94601





