Job Title : AI/ML Product Manager
Location: Phoenix, Az Onsite Relocation will work
Full-Time Only
Experience Required - 10+ Years
Must Have Technical/Functional Skills
- 5 years of product management experience, ideally in travel, financial services, or lifestyle-oriented platforms
- Hands on experience with data driven products and working knowledge of ML principles and Model lifecycle
- Strong understanding of customer segmentation, targeting, recommendation, and real time personalization engines
- Experience participating in large scale planning, annual planning, PI planning, and working with Agile environment
- Ability to synthesize complex data and communicate clear product narrative to technical and non-technical stakeholders
- Proficiency with tools such as SQL, JIRA, Confluence, Tableau/PowerBI familiarity a plus, Python basic understanding
- Familiarity with ML concepts, ML Studio, Copilot, github, elastic search
- Understanding of Model development and software development lifecycle
- Familiarity with Model explaianbility tools (SHAP, LIME etc)
- Understanding of Big data, Data pipeline, ETL/ELT processes
- Understanding of Cloud Platforms (GCP, (Big Table, Lumi, Big Query, Vertex All)
- Security and compliance awareness GDPR, data privacy regulations, Model Governance, compliance review process, Model Risk Management
- Strong communication and stakeholder management skills
- Excellent communication skills with the ability to engage, influence, and inspire partners to drive collaboration and alignment. Able to create PPT for presentations.
- Has a successful record of leading and coordinating business, delivery, and technology teams to define, prioritize, and deliver on a product roadmap
- Strong product management skills that will take full ownership from analysis through implementation.
Roles & Responsibilities
- Product Strategy and Roadmap
- Define the long-term product vision and roadmap for data driven and AI/ML driven products that enables personalization at scale.
- Champion customer centricity through data and insights, identifying high-impact use cases that improve relevancy, engagement and satisfaction
- AI/ML integration and Data insights
- Collaborate with Data Science and Engineering teams to build, deploy, and monitor ML Models for personalization, segmentation, predictive experiences
- Translate dat a signals and model outputs into actionable, personalized product features across Planning, booking, marketing, servicing and lifestyle use cases
- Partner with Data science team to define model requirements and interpret model outcomes
- Collaborate with Privacy, Compliance, Legal, Model Governance teams to ensure compliance, Risk mitigation, Model approvals.
- Enable data pipelines, experimentation frameworks, and real time personalization engines in collaboration with engineering
- Stakeholder Influence and Adoption
- Act as a strategic partner to stakeholders across business units, advocating the use of data and AI Powered tools
- Partner with Marketing, Online, Servicing and Personalization, Analytics, Risk, Customer support, Big Data, Data Governance, Data science, Engineering stakeholders to drive adoption of AI powered solutions
- Translate complex data and AI concepts into clear business value for non-technical audiences
- PI Planning
- Actively participate in Agile PI Planning sessions- prioritizing features, identifying dependencies, and ensuring team capacity is aligned with delivery expectations
- Manage cross-functional collaboration across organization ( data, engineering, compliance, experience design, data science etc)
- Requirements, Delivery & Measurement
- Lead Product Delivery and requirements definition using user insights, market research, and data signals
- Lead end-to-end product lifecycle management: discovery, definition, prototyping, testing, development and rollout
- Define success metrics and KPIs tied to personalization effectiveness, customer outcomes and Business impact
- Continuously improve the product based on data, customer behavior and market trends and model performance
- Gather, document, and validate detailed product requirements Functional and non-functional requirements)
- Monitor Product health Metrics post launch, product performance, API performance, SLA etc
- Collaborate with Data science, engineering and UX teams to build scalable product supported by scalable design and architecture
- Customer centric mindset
- Conduct customer research to understand needs, friction points, and personalization preferences
- Use segmentation, journey mapping, and behavior data to drive actionable product decisions
- Platform and Architecture alignment
- Partner with engineering and enterprise architecture teams to define scalable and privacy compliant architecture ensuing solution design support real time integration with servicing platforms like web, mobile, voice, concierge etc
- Drive alignment on API contracts, data integration patt erns to support modular and extensible capabilities
- Maintain awareness of tech debt, system ,limitations and infrastructure constraints during product prioritization and roadmap planning
- Advanced degree in business management/computer science or related or equivalent work experience.
- Experience driving complex, transformational initiatives across multiple teams is preferred.
