We are seeking an experienced Product Owner AI/ML with hands-on Dataiku DSS expertise to lead enterprise-scale AI/ML initiatives. This role owns the end-to-end model lifecycle, drives business-aligned AI product outcomes, and partners closely with Data Science, Engineering, Governance, and MLOps teams.

Please do NOT submit:

Pure Data Engineers or Data Scientists without Product Owner responsibilities
Candidates with multiple short-tenure roles and limited delivery ownership

Key Responsibilities

Define and own the AI/ML product roadmap, feature backlog, and delivery plan aligned with enterprise AI strategy
Lead ideation, intake, and prioritization of high-value AI/ML use cases
Translate business problems into ML requirements, user stories, and acceptance criteria
Act as the primary bridge between business stakeholders and technical teams
Collaborate with Data Scientists, Data Engineers, Analysts, and Business Leads within Dataiku DSS workflows
Own end-to-end ML model lifecycle including design, development, deployment, monitoring, and iteration
Ensure ML initiatives comply with enterprise data governance, risk, and MLOps standards
Communicate model metrics, insights, and outcomes in clear business terms
Drive Dataiku adoption, enablement, and AI/ML literacy across the organization
Develop training materials and champion an AI/ML community of practice

Required Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or Business Analytics
5+ years experience as a Product Owner / Data Product Manager
2+ years hands-on experience with Dataiku DSS in enterprise environments
Strong experience owning model lifecycle management (design deployment monitoring)
Proven success delivering enterprise-scale AI/ML solutions
Experience translating ML outputs into measurable business value
Hands-on knowledge of Dataiku Flow design, visual recipes, scenarios, managed folders, and model evaluation
Familiarity with Python, SQL, or R
Experience working with Azure ML environments (strongly preferred)
Solid understanding of MLOps, model drift monitoring, and AI governance

Preferred / Nice to Have

Dataiku Certifications: Core Designer, Advanced Designer, ML Practitioner
Certified Scrum Product Owner (CSPO) or Agile certification
Cloud certifications (Azure preferred; AWS/Google Cloud Platform acceptable)
Experience with Snowflake, Azure Data Lake (ADLS), Databricks, APIs
Exposure to Tableau, Power BI, or Dataiku dashboards

Soft Skills

Excellent stakeholder communication across technical and non-technical teams
Strong analytical thinking and AI storytelling skills
Strategic mindset with passion for AI democratization and data-driven transformation

Product Owner AI/ML (Dataiku DSS)

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