Product Owner – Data & AI/ML Platforms

Position Overview

DS Technologies Inc is seeking a highly driven and strategic Product Owner – Data & AI/ML Platforms for one of our premier clients. Based in Phoenix, AZ (Onsite) on a Contract basis ( Only W2 ), this role will own the end-to-end product lifecycle – from strategy and planning to execution. The ideal candidate will work collaboratively with cross-functional teams to deliver data-driven, AI/ML enabled personalization products that align with business objectives and comply with regulatory requirements.

Key Responsibilities

• Define and execute the long-term product vision and roadmap, championing a customer-centric approach based on advanced analytics.
• Identify high-impact use cases across planning, booking, marketing, servicing, and lifestyle platforms.
• Collaborate with Data Science and Engineering teams to design, deploy, and monitor machine learning models for personalization and predictive analytics.
• Translate model outputs and data signals into actionable product features and business outcomes.
• Partner with Model Governance, Privacy, Legal, and Compliance teams to ensure transparency, risk mitigation, and adherence to governance frameworks.
• Act as a strategic liaison between business units and technical teams to drive adoption of AI-powered, data-driven tools.
• Communicate complex AI and data concepts in clear, actionable business terms and deliver presentations to executive audiences.
• Participate in Agile PI Planning sessions, managing feature prioritization, dependency identification, and resource alignment.
• Partner with Scrum teams to define user stories and acceptance criteria while coordinating across teams to maintain delivery momentum and quality.

Required Qualifications

• 5+ years of Product Management or Product Owner experience, preferably within travel, financial services, or lifestyle-oriented platforms.
• Hands-on experience managing data-driven products with a working knowledge of machine learning principles and the model lifecycle.
• Strong understanding of customer segmentation, targeting, recommendation systems, and real-time personalization engines.
• Experience in large-scale planning (Annual/PI planning) within an Agile environment.
• Proficiency in tools and technologies: SQL, JIRA, Confluence, Tableau, Power BI, with Python basics preferred.
• Familiarity with ML Studio, GitHub, Elastic Search, Copilot, and Model Explainability Tools (SHAP, LIME).
• Experience with Big Data environments, ETL/ELT processes, and Cloud Platforms (GCP – BigQuery, BigTable, Vertex AI, Lumi).
• Understanding of security, compliance, GDPR, data privacy regulations, and Model Risk Management.
• Excellent communication, presentation, and stakeholder management skills.

Preferred Qualifications

• Proven track record in defining, prioritizing, and delivering AI/ML-based product features.
• Experience collaborating with cross-functional teams within large, matrixed organizations.
• Strong analytical mindset with the ability to synthesize complex data into strategic insights.