AI​/ML Product Manager

Job Title:

AI/ML Product Manager

Experience

Required:

10+ Years

• 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/Power
  
  BI 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
• 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.
• Understanding of Cloud Platforms (GCP, Big Table, Lumi, Big Query, Vertex)

• 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 data 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
• 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 patterns 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…