Product Manager

TechotlistContract
AZH4-EAD, GC, US Citizen, L2
5 - 7 YearsApr 29th, 2026
47 ViewsBe an Early Applicant
Required Skillset:
Machine LearningWebMobileSegmentationData GovernanceRecommendation SystemsExperimentation FrameworksOrchestration LayersPropensity ModelsMarketing TechnologiesCustomer Engagement PlatformsAPIsGenerative AIA/B TestingPersonalization Platforms

Job Description

Role products manager 
Work location: Phoenix, AZ 85003
Rate :50 on w2

Visa : GC , USC , H4 EAD . L2 EAD 
Client: TCS
System Integrations, Machine Learning, Recommendation Systems, Segmentation, Web, Mobile, A/B Testing, Experimentation Frameworks, Personalization Platforms, Orchestration Layers, Marketing Technologies, Customer Engagement Platforms, Generative AI, Propensity Models, Product Roadmap, Product Lifecycle Management, Backlog Management, KPIs, CTR, Conversion Tracking, Dynamic Content, Cross-sell, 360° Customer Data, Data Governance
Job description Job insights  Screening questions Candidate pipeline  
If you post this job on a job board, please do not use company name or salary.
Experience level: Mid-senior Experience required: 7 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No
Job Title: Product Manager – Personalization & Digital Products (xxxxxxxxxxxxxxx)

End Client Industry: BFSI

Location: Phoenix, AZ (100% On-site)

 

Must Have Technical/Functional Skills:

5–7+ years of experience in Product Management, with a focus on digital products or personalization
Strong techno-functional background with understanding of:
APIs, data platforms, and system integrations
Machine learning concepts (recommendation systems, segmentation, etc.)
Proven experience building and launching customer-facing digital products (web/mobile)
Strong analytical mindset with ability to use data for decision-making
Excellent communication, storytelling, and presentation skills
Experience managing roadmaps, product lifecycle, and cross-functional teams
Experience in AI/ML-driven personalization or recommendation systems
Familiarity with Generative AI tools and applications in personalization
Experience in travel, hospitality, or e-commerce domains
Exposure to:
Experimentation frameworks (A/B testing)
Personalization platforms or orchestration layers
Marketing technologies and customer engagement platforms
Prior experience working with or within American Express / similar enterprise ecosystems


Roles & Responsibilities:

Product Strategy & Roadmap
Define and execute the roadmap for personalization capabilities across web, mobile, and marketing channels
Identify opportunities to enhance customer experience using data, AI/ML, and contextual insights Align product vision with business goals such as engagement, conversion, and revenue growth
Personalization & Recommendations
Build and scale personalization use cases such as recommendations, segmentation, dynamic content, and cross-sell
Leverage customer, supplier, and contextual data to deliver relevant and timely experiences
Partner with data science teams to develop and optimize ML models (e.g., recommendation systems, propensity models)
Execution & Delivery
Own end-to-end product lifecycle from ideation to launch and optimization
Drive execution through strong collaboration with engineering, data, design, and business stakeholders
Manage product backlogs, prioritize features, and ensure timely delivery
Stakeholder Management & Storytelling
Create compelling product narratives, presentations, and executive updates
Translate complex technical concepts into clear business value Influence cross-functional teams and senior leadership
Experimentation & Optimization
Drive A/B testing and experimentation frameworks to continuously improve performance
Track KPIs such as engagement, CTR, conversion, and revenue impact
Use insights to refine personalization strategies and models
Data & Platform Integration
Work with data platforms to leverage 360° customer and supplier data for personalization
Ensure solutions are scalable, compliant, and aligned with data governance standards

 

Email id : xxxxxxxxxxxxxxx
 

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