Product Owner - Data & AI/ML Platforms

DS Technologies Inc10 months ago
Phoenix, AZ, United States
On-site
Contract
Junior Level (1-3 years)

Job Description

Position Overview

DS Technologies Inc is seeking a strategic Product Owner - Data & AI/ML Platforms for one of our premier clients in Phoenix, AZ (Onsite). This is a Contract position (Only W2). We are looking for a highly driven professional with strong experience in data-driven product management and AI/ML integration. In this role, you will own the end-to-end product lifecycle—from strategy and planning through execution—ensuring alignment between business objectives, technical capabilities, and regulatory compliance.

Key Responsibilities

  • Product Strategy & Roadmap: Define and execute the long-term product vision and roadmap for data-driven and AI/ML-based personalization products.
  • Champion a customer-centric approach by leveraging insights, data, and advanced analytics to enhance engagement and satisfaction.
  • Identify high-impact use cases across planning, booking, marketing, servicing, and lifestyle platforms.
  • AI/ML Integration & Data Insights: 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 model transparency, risk mitigation, and adherence to governance frameworks.
  • Support the development of data pipelines, experimentation frameworks, and real-time personalization engines with engineering teams.
  • Stakeholder Influence & Adoption: Serve as the strategic liaison between business units and technical teams, driving adoption of AI-powered and data-driven tools.
  • Collaborate with cross-functional stakeholders including Marketing, Online, Servicing, Analytics, Risk, and Data Governance to ensure cohesive product delivery.
  • Communicate complex AI and data concepts in clear, actionable terms for non-technical stakeholders.
  • Prepare and deliver presentations and product narratives to executive and business audiences.
  • Agile & PI Planning: Actively participate in Agile PI Planning sessions, managing feature prioritization, dependency identification, and resource alignment.
  • Partner with Scrum teams to define user stories, acceptance criteria, and ensure successful product delivery.
  • Coordinate across data, engineering, compliance, and experience design teams to maintain delivery momentum and quality.

Required Qualifications

  • 5+ years of Product Management or Product Owner experience, preferably in travel, financial services, or lifestyle-oriented platforms.
  • Hands-on experience managing data-driven products with a working knowledge of machine learning principles and product 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 including SQL, JIRA, Confluence, Tableau, and Power BI (with Python basics preferred); familiarity with ML Studio, GitHub, Elastic Search, and Copilot; understanding of Model Explainability Tools (SHAP, LIME); and knowledge of Big Data environments, ETL/ELT processes, and Cloud Platforms (GCP - BigQuery, BigTable, Vertex AI, Lumi).
  • Familiarity with security, compliance, GDPR, data privacy regulations, and Model Risk Management.
  • Strong 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 across large, matrixed organizations.
  • Strong analytical mindset with the ability to synthesize complex data into strategic insights.

Required Skills

Stakeholder Management
Tableau
GCP
AI/ML Integration
Python
Agile/PI Planning
Data-driven Strategy
Risk & Compliance
SQL
Product Management
Personalization Engines