240763-Manager

Job Description: Product Owner / Product Manager (AI Solutions)Location: Delhi NCRLevel: ManagerAbout EXL ServiceEXL Service is a global leader in analytics, digital operations, and AI-driven business transformation. We are accelerating our AI-first strategy with solutions like MiAI Call Simulator, AI Trainer, Upskill. AI, and Transition AI Toolkit that drive measurable business impact across Insurance, Healthcare, Banking, and Retail industries.

We are seeking Manager-level Product Owners / Product Managers with strong foundations in AI tools and enterprise SaaS to drive product innovation, adoption, and client success. Key ResponsibilitiesProduct Ownership & StrategyOwn end-to-end product lifecycle: vision, roadmap, backlog, and release planning. Partner with business stakeholders to translate enterprise needs into AI-enabled product capabilities. Define product OKRs and success metrics aligned with EXL’s strategic initiatives.

AI-Enabled Product DeliveryTranslate functional requirements into user stories/epics with AI-centric features (e.g., GenAI, Agentic AI, Process Mining).Ensure seamless integration with ITSM, CRM, and enterprise systems (ServiceNow, Salesforce, Jira, etc.).Work with engineering, design, and data science teams to deliver AI-first solutions with measurable ROI.Stakeholder ManagementAct as the primary liaison between business operations, AI engineering teams, and client leadership. Drive adoption through demos, workshops, and continuous feedback loops with end-users.

Collaborate with sales, solutioning, and consulting teams to embed AI into client delivery models. Governance & ComplianceEnsure products adhere to InfoSec, Data Privacy, and Compliance frameworks (e.g., PCI-DSS, HIPAA, GDPR).Establish governance models for AI deployment (e.g., human-in-the-loop validation, data bias checks, auditability).Required Skills & ExperienceCore Product Management6–10 years of experience in Product Management / Product Owner roles, with at least 2–3 years in AI/ML, automation, or digital transformation domains.

Proven success in enterprise product delivery (preferably SaaS/AI platforms).Strong background in backlog management, agile ceremonies, and release planning. AI & Digital ExpertiseHands-on knowledge of AI/ML tools & platforms (Azure OpenAI, LangChain, UiPath, PowerBI, ServiceNow, etc.).Exposure to GenAI/LLM applications, AI training simulations, or automation solutions. Understanding of data pipelines, analytics workflows, and model governance. Business & Domain UnderstandingExperience in one or more industries: Insurance, Healthcare, Banking, or Retail operations.

Ability to translate business requirements into AI-powered solutions. Strong understanding of KPIs, SLAs, and compliance requirements. Leadership & Soft SkillsStrong communication, stakeholder management, and client-facing skills. Ability to lead cross-functional squads (engineering, AI scientists, designers, SMEs).Entrepreneurial mindset with passion for scaling AI-enabled products. Preferred / Good-to-HaveCertifications: CSPO, POPM, SAFe PO/PM, or AI Product Management. Experience in Process Mining, Task Mining, or workflow automation.

Exposure to cloud-native AI infrastructure (Azure, AWS, GCP).Prior experience in consulting or Big 4 environments.