About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
DS Technologies Inc is looking for Product Owner – Data & AI/ML Platforms rolefor one of our premier clients.
Job Title: Product Owner – Data & AI/ML Platforms
Location: Phoenix, AZ (Onsite)Duration: ContractOnly W2
Job Description:
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.Key Skills:
Product Management | Data-driven Strategy | AI/ML Integration | Personalization Engines | Agile/PI Planning | SQL | GCP | Model Governance | Tableau | Python | Stakeholder Management | Risk & 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 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.
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 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 (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.
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.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.