Total 5 job vacancies by Experian

Experian Consumer Services is seeking a Product Manager – Generative AI Experiences to help shape and scale AI-powered conversational products, including the Experian Virtual Assistant™ (EVA) and off-property Generative AI conversational experiences. This role will report into the EVA product leadership team and help advance our mission to deliver an AI financial assistant that uses natural language to anticipate needs, automate actions, and orchestrate tools.

As the Product Manager for Generative AI Experiences, you will help define, build, iterate, and improve conversational AI products that drive stronger self-service, deeper engagement, and better monetization outcomes. You will work across product, engineering, design, data science, analytics, compliance, and operations to deliver AI-powered experiences that are more helpful, more personalized, and more effective than traditional digital support flows.

Role and Responsibilities

• Help drive product discovery, roadmap definition, and execution for EVA and related Generative AI assistant experiences across owned and/or off-property surfaces.
• Build conversational product experiences that increase digital self-service and reduce reliance on call center support.
• Identify and prioritize opportunities for AI-driven conversations to improve consumer engagement, task completion, and retention.
• Partner on monetization use cases, including personalized offers, recommendations, and conversion-oriented conversation flows that create value for both consumers and the business.
• Define and optimize AI-powered user journeys that feel more helpful, personalized, and effective than traditional human-assisted or static digital experiences.
• Contribute to the development of agentic experiences that can safely take actions on behalf of consumers, such as orchestrating tools, completing workflows, and resolving financial tasks.
• Translate consumer problems, business goals, and technical constraints into clear product requirements, user stories, and experimentation plans.
• Work closely with engineering, data science, project managers and design teams to launch iterative improvements to conversational experiences, including prompting, flow design, memory/context handling, and orchestration logic.

Success in This Role

• Increase self‑service adoption and reduce avoidable call‑center contacts.
• Improve customer engagement through relevant, natural, and high‑value AI‑driven conversations.
• Drive monetization through personalized conversational experiences and targeted offers.
• Create differentiated assistant experiences that are proactive, context‑aware, and action‑oriented.
• Advance EVA toward more intelligent, agentic financial assistance for consumers.

Experian's Direct-to-Consumer (D2C) business seeks a Sr. Product Manager in India, with 5–8 years of experience and strong knowledge of US financial products. In this role, you will transform customer needs into scalable, compliant, and data-driven product solutions, working closely with engineering and design teams to positively impact millions of consumers.

You will manage Smart Money features with a focus on addressing immediate product gaps, optimising offerings, and driving sustained engagement from valued members. The role is highly visible, requiring close collaboration with leaders across Experian.

Key Responsibilities:

• Manage and improve Smart Money features by actively monitoring customer feedback, analysing product performance, and implementing enhancements relevant to consumers.
• Lead cross-functional product development, coordinating with engineering, design, and business stakeholders to develop new features, manage backlogs, and ensure timely delivery of value.
• Oversee integration efforts, managing technology partnerships and integrations with internal and external platforms, including US financial ecosystems, to expand product capabilities.
• Enhance internal systems and processes, strengthening tools, workflows, and automation for efficient product operations and stakeholder collaboration.
• Collaborate with key stakeholders, partnering with marketing, sales, legal, compliance, and other teams to support go-to-market strategies and ensure adherence to regulatory requirements.
• Maintain transparent and effective communication channels with all stakeholders, including cross-border and local teams.
• Collaborate with analytics teams to instrument analytics, interpret data, and derive insights for continuous product improvement.

Job description

Key Responsibilities:

Test Planning & Strategy

Collaborate with Product Owners, Engineering Leads, and BAs to define functional & non-functional test requirements.

Identify test scenarios for cloud vs. mainframe validation within SPC1 objectives.

Test Automation & Execution

Develop automated test scripts in Python leveraging AWS (S3, Lambda, DynamoDB, Glue).

Integrate tests into CI/CD pipelines (Jenkins, Harness) with automated reporting.

Execute functional tests for ingestion transformation, lineage checks, reconciliation.

Non-Functional Testing

Conduct performance, reliability, and failover testing for ingestion pipelines.

Validate timeliness, completeness, consumption, and governance alignment with automation.

Support rollback, replay, and amendment workflows.

Compliance & Governance Assurance

Test encryption, IAM least privilege, secrets management, vulnerability scanning.

Collaboration & Documentation

Troubleshoot test failures with DevOps and Release Engineers.

Document test results, defects, variances for Product sign-off.

Participate in DRB reviews to ensure testing aligns with architecture and data control standards.

Required Skills & Technical Competencies:

Languages & Tools: Python and use of AI-assisted tooling (Cursor, Claude Code).

Cloud Services: AWS Transform, S3, Lambda, DynamoDB, Glue.

DevOps Practices: CI/CD integration, Jenkins/Harness, Bitbucket.

Data Testing: Schema validation, nullability checks, lineage verification, variance documentation.

Core Outcomes & Success Metrics:

Automated tests executed for all ingestion pipelines.

Real-time Data Control Dashboards showing compliance/non-compliance without manual refresh.

Cloud vs. Mainframe parity validation completed, with exceptions documented.

Audit-ready evidence artifacts generated and stored.

Operational scenarios (rollback, amendment, replay) validated and documented.

Job description

Key Responsibilities

Cloud Infrastructure & Platform Engineering

Design and manage scalable AWS infrastructure using Infrastructure as Code Terraform, CloudFormation, CDK

Build reusable platform components and golden paths for engineering teams.

Implement multi-account, multi-region architectures with strong governance.

CI CD and Release Engineering

Design and maintain end-to-end CI CD pipelines using Jenkins Harness GitHub Actions or similar

Enable progressive delivery strategies blue green canary feature flags

Integrate automated testing security scanning, and compliance checks into pipelines

Containerization and Orchestration

Build and manage containerized workloads using Docker and Kubernetes EKS

Implement GitOps workflows using ArgoCD Flux

Optimize cluster performance cost and reliability

Observability & AIOps

Implement full-stack observability using CloudWatch Prometheus Grafana OpenTelemetry

Build AI assisted monitoring and alerting systems for anomaly detection and root cause analysis

Enable self healing systems using automation and event driven responses

Security & DevSecOps

Embed security into pipelines using SonarQube Snyk Veracode  Trivy

Implement IAM best practices secrets management and zero trust principles

Ensure compliance with enterprise security and data governance standards

AI Enabled DevOps

Leverage AI tools Claude Code Copilot for automation script generation and pipeline optimization

Build agent driven operational workflows auto-remediation incident summarization runbook generation

Use AWS Bedrock  AI services for intelligent automation and operational insights

Cost Optimization & Reliability

Implement FinOps practices for cost visibility and optimization

Define and monitor SLOs SLIs and error budgets

Drive reliability engineering practices across platforms

Collaboration & Enablement

Partner with engineering teams to improve developer experience DevEx

Enable teams through self service platforms and automation

Contribute to platform engineering standards and best practices

Role Overview:

Looking for a Site Reliability Engineer (SRE) to support the reliability, availability, and performance of business‑critical systems. This role focuses on AWS cloud infrastructure, DevOps tools, and core SRE practices. You will work closely with development, platform, and operations teams to ensure systems are stable, scalable, and well monitored.

Key Responsibilities:

Reliability & Operations:

• Support high availability, scalability, and performance of production systems
• Implement and maintain SLIs, SLOs, and SLAs for services
• Identify and reduce operational toil through automation and process improvement
• Support design and implementation of fault‑tolerant and resilient systems
• Manage and operate systems hosted on AWS (EC2, EKS/ECS, RDS, S3, Lambda, CloudWatch, IAM, VPC)
• Support cloud deployments and infrastructure changes following best practices
• Assist with backup, disaster recovery, and resiliency planning
• Work with CI/CD pipelines and DevOps tools to support reliable deployments
• Use Infrastructure as Code tools such as Terraform or CloudFormation
• Automate repetitive tasks using scripts (Python, Bash, etc.)