FBS Customer Experience Product Manager
Capgemini
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Benefits offered by this job
Job summary
Qualifications
- 8+ years experience with customer understanding and consulting.
- 5+ years experience in analytics and performance reporting.
- Experienced with AI/ML-driven platforms and analytics tools.
Responsibilities
- Oversee digital service operations across customer and agent journeys.
- Define and monitor KPIs to track digital performance.
- Manage critical defects and high-priority escalations.
Skills
Education
Tools
Job description
The CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives. Works as liaison between product and technology operations to reach the forecasted KPI targets for digital service customer experiences. This role operates at the intersection of digital operations, customer experience, and AI‑powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.
As a Customer Experience Digital Operations Manager, you will:
- Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements
- Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels
- Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback
- Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution
- Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory
- Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements
- Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution
- Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning
- Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service
- Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices
- Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations
- Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding
Key Responsibilities
- Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes
- Collaborate with product owners to build AI‑informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting
- Manage AI‑enabled dashboards and monitoring systems that surface real‑time anomalies, experience dips, and emerging performance trends
- Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI‑generated variants, measuring uplift and customer impact
- Translate customer and agent insights using AI‑powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements
- Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation
- Overall experience >8 years, 5+ years' experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement
- Advanced project and process management experience. Agile preferred
- Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field
- Master's degree preferred in Management, Analytics, Artificial Intelligence
- Experience working with AI/ML‑driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics)
- Background or coursework in AI, machine learning, data science, or human‑centered AI preferred
- Demonstrated ability to translate technical AI concepts into business language for non‑technical stakeholders
- Availability to work in PST time zone
- Other Critical Skills
- Familiarity with GenAI tools, conversational AI platforms, and AI‑assisted productivity solutions
- Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring
- Strong understanding of AI ethics, governance, and responsible AI frameworks
- Comfortable working in environments where AI‑driven decision automation informs prioritization and operational strategies
- Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint
- Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills
- Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams
- Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable)
- Hands‑on familiarity with GenAI copilots, prompt engineering concepts, or LLM‑based experience analysis tools
- Experience interpreting insights from NLP, AI‑powered text analytics, or conversational AI systems
- Hands on experience with user Feedback/Data analysis tools - Qualtrics, Fullstory, Mixpanel etc
- Good proficiency or practical experience of A/B Testing tools
- Agile tools such as Jira, Rally
- Understanding of Contact center and CMS tools
- Excel - Intermediate/Advanced. Proficiency in Microsoft 365
- Power BI (Highly Preferred)
- Competitive compensation and benefits package
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
Note: Benefits differ based on employee level.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
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