Product Manager

Product Manager

Phoenix Az (hybrid)

12+month of contract

Job description :-

As a Product Manager focused on data insights and AI/ML personalization you will play a key role in developing intelligent products that drive deeper engagement and loyalty through contextual, data driven experiences across digital channels.

You will lead end to end product development of data driven and AI/ML based solutions, unlock insights through behavioral and transactional data, and partner across the enterprise to deliver personalization at scale.

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
• 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 .

Qualifications

• 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

Thanks & Regards,

Soumya Dixit

Desk:

Email:

Nityo Infotech Corp. |

666 Plainsboro Road, Suite 1285, Plainsboro, NJ 08536