AIML Product Owner
AIML Product Owner
Posted on :
14-06-2025
Employer Active
1 Vacancy
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Job Description
Key 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 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
- 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 patterns to support modular and extensible capabilities
- Maintain awareness of tech debt system limitations and infrastructure constraints during product prioritization and roadmap planning
Employment Type
Full Time
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