Expert Technical Specialist

Job Title : AI / ML Product Owner

Department : Data & Analytics / AI Center of Excellence

Location : SF Bay Area preferred. Remote a possibility for the right candidate

Contract : 12+ Month (Possiblity to convert Perm. )

Position Overview

The AI / ML Product Owner plays a pivotal role in driving the development, adoption, and governance of AI / ML solutions within the enterprise.

These solutions will be deployed primarily on the Dataiku DSS platform but will also leverage other platforms and technologies (e.g. Azure ML).

This role bridges business strategy, data science, and engineering owning the roadmap and execution of AI / ML projects that transform data into actionable intelligence. You will ensure that the platform delivers trusted, scalable, and governed AI outcomes while empowering data analysts, data scientists, and business users to collaborate effectively.

Key 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 AI / 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 to 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 AI / ML platforms 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 AI / ML community of practice.

Qualifications

Education & Experience

Bachelors or Masters degree in Computer Science, Data Science, Engineering, or Business Analytics.

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.

Technical Skills

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

Understanding of data pipelines, APIs, 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 AI governance practices.

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

Soft Skills

Strong analytical thinking and storytelling ability can translate complex AI outcomes into business impact.

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

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

Preferred Certifications

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

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

Cloud certification (Azure, AWS, or GCP) a plus.

PayRate : $90 / hr,W2