Tata Consultancy Services
Job Title: AI/ML Product Manager
Experience Required: 10+ Years
Must Have Technical/Functional Skills and Tools
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
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)
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 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 multiple teams is preferred.
Salary Range: $100,000 to $120,000 per year
TCS Employee Benefits Summary Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Product Management and Marketing
Industries IT Services and IT Consulting
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Must Have Technical/Functional Skills and Tools
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
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)
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 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 multiple teams is preferred.
Salary Range: $100,000 to $120,000 per year
TCS Employee Benefits Summary Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Product Management and Marketing
Industries IT Services and IT Consulting
#J-18808-Ljbffr