Product Owner – Data & AI/ML Platforms at DS Technologies Inc in AZ-Phoenix-85003

Job description

• DS Technologies Inc is looking for Product Owner – Data & AI/ML Platforms role for one of our premier clients.
• We are seeking a highly driven and strategic Product Owner with strong experience in data-driven product management and AI/ML integration. The ideal candidate will lead initiatives that enable personalization at scale, collaborating with cross-functional teams including Data Science, Engineering, Compliance, and Marketing.
• The Product Owner will own the end-to-end product lifecycle — from strategy and planning through execution — and will ensure alignment between business objectives, technical capabilities, and regulatory compliance.

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 the 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 in collaboration with engineering teams.
• Stakeholder Influence & Adoption
• Serve as a 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 business terms for non-technical stakeholders.
• Prepare and deliver presentations and product narratives (PPTs) 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.

Requirements

• Product Management | Data-driven Strategy | AI/ML Integration | Personalization Engines | Agile/PI Planning | SQL | GCP | Model Governance | Tableau | Python | Stakeholder Management | Risk & Compliance
• 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 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.
• SQL, JIRA, Confluence, Tableau, Power BI (Python basics preferred)
• Familiarity with ML Studio, GitHub, Elastic Search, and Copilot
• Understanding of Model Explainability Tools (SHAP, LIME)
• 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.
• 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.

Skills

Required

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

Preferred

• Python basics