Product Owner

Capgemini; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Capgemini in New York, NY seeks a product leader to own AI and fraud-digital initiatives. You will define the product vision, manage the backlog, and collaborate with business leaders, customers, and SMEs to translate needs into value-driven roadmaps.

Responsibilities include prioritizing features, refining user stories with clear acceptance criteria, and aligning sprint priorities with delivery teams. Strong stakeholder management and KPI-driven thinking are required.

Qualifications

• Experience deploying Gen AI solutions (custom LLMs and AWS/SF/Pega out of the box solutions).
• Fraud Digital role requires fraud process experience (Merchant Disputes, Fraud Cases).
• Define, refine, and maintain product backlog with clear acceptance criteria.

Responsibilities

• Define and communicate product vision, goals, and roadmap aligned with business strategy.
• Collaborate with business leaders, customers, and SMEs to identify opportunities and prioritize initiatives.
• Drive product decisions based on customer needs, market trends, and business value.
• Ensure alignment between product objectives and organizational goals.
• Own and manage product backlog, prioritizing based on value, risk, and dependencies.
• Create, refine, and maintain user stories with clear acceptance criteria.
• Continuously evaluate and reprioritize backlog items to maximize product outcomes.
• Define and communicate sprint priorities to development teams.
• Serve as the primary point of contact for Scrum teams regarding product requirements and priorities.
• Participate in sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Clarify business requirements and remove ambiguities for delivery teams.
• Accept or reject completed work based on predefined acceptance criteria.
• Engage regularly with stakeholders, gather feedback, and translate needs into enhancements.
• Communicate progress, risks, and product performance to senior leadership.
• Define KPIs and track product performance to ensure customer-centric UX.

Skills

Agile

Stakeholder management

Product backlog management

User stories

KPIs tracking

Customer experience

Prioritization

Tools

Salesforce

Pega

IVR

Chat platforms

Secure messaging

Gen AI / LLMs

AWS

Job description

• They will be covering SalesForce, Pega, IVR, Chat, Secure Message and Digital.
• Experience deploying Gen AI solutions (i.e. custom LLMs and AWS/SF/Pega out of the box solutions).
• For the Fraud Digital Person -
• Fraud process experience (i.e. Merchant Disputes, Fraud Cases)
• Define and communicate the product vision, goals, and roadmap aligned with business strategy.
• Collaborate with business leaders, customers, and subject matter experts to identify opportunities and prioritize initiatives.
• Drive product decisions based on customer needs, market trends, and business value.
• Ensure alignment between product objectives and organizational goals.
• Own and manage the product backlog, ensuring items are prioritized based on value, risk, and dependencies.
• Create, refine, and maintain user stories with clear acceptance criteria.
• Continuously evaluate and reprioritize backlog items to maximize product outcomes.
• Define and communicate sprint priorities to development teams.

Agile Delivery

• Serve as the primary point of contact for Scrum teams regarding product requirements and priorities.
• Participate in sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Clarify business requirements and remove ambiguities for delivery teams.
• Accept or reject completed work based on predefined acceptance criteria.

Stakeholder Management

• Engage regularly with business stakeholders, customers, and technology teams.
• Gather feedback and translate business needs into product enhancements.
• Communicate progress, risks, dependencies, and product performance to senior leadership.
• Facilitate alignment among cross-functional teams.

Product Performance & Customer Experience

• Define and track key product KPIs and success metrics.
• Analyze customer feedback, usage data, and business outcomes to drive improvements.
• Identify opportunities for product innovation and optimization.
• Champion customer-centric design and user experience best practices