Product Owner (Dataiku, AI/ML)-10+yrs-Remote (& )

Responsibilities:

Define and own the ML roadmap and project/feature backlog that is aligned with the enterprise AI/ML strategy.

Facilitate ideation, project intake, and own the prioritization of high-value Al/ML use cases, ensuring business alignment and technical feasibility.

Translate business problems into ML project requirements and user stories, ensuring clarity between business and technical teams.

Collaborate with data scientists, data engineers, analysts, and business leads lo guide project execution within ML platforms and workflows.

Ensure clear communication between technical and non-technical stakeholders translating model metrics and insights into business outcomes.

Partner with Data Governance, MLOps, and Risk teams to ensure Dataiku ML projects adhere to enterprise governance standards.

Provide oversight of the end-to-end model lifecycle within Dataiku and other Al/ML platform to ensure timely and successful delivery.

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 A/ML community of practice.

Required Qualifications:

Bachelors or Master’s degree in Computer Science, Data Science, Engineering, or Business Analytics.

Must have Hands-on Dataiku DSS experience minimum 2+ years.

(Model lifecycle, Flow design, governance, deployment, model monitoring)

Must have Product Owner/ Data Product Manager background.

(Roadmap ownership, backlog prioritization. Stakeholder alignment)

Must have Enterprise-scale AI/ML delivery experience.

Proven ability to translate model outcomes into business value.

Cloud ML experience (Azure strongly preferred)

Dataiku certifications (Core, Advanced, ML Practitioner)

5+ years of experience in data product management or product ownership roles.

2+ years of hands-on experience with Dataiku DSS in enterprise environments.

Experience leading cross-functional AI/ML teams using agile delivery frameworks.

Proficiency in the Dataiku ecosystem including Flow design, visual recipes, managed folders, scenarios, and model evaluation.

Understanding of data pipelines, Apls, and integration points (e.g., Snowflake, Azure Data Lake, Databricks).

Familiarity with Python, SQL, or R for AI/ML workflows.

Working knowledge of MLOps, model drift monitoring, and Al governance practices.

Experience with analytics visualization (Tableau. Power BI) or Dataiku dashboards.

Strong analytical thinking and storytelling ability can translate complex Al outcomes into business Impact.

Exceptional communication and stakeholder management skills across technical and business domains.

Strategic mindset with passion for Al democratization and data-driven transformation.

Dataiku Cora Designer, Advanced Designer, or ML Practitioner certification (strongly preferred).

Certified Scrum Product Owner (CSPO) or equivalent Agile certification.

Cloud certification (Azure, AWS, or Google Cloud Platform) a plus.