240763-Manager

EXL Talent Acquisition Team; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

EXL Service is seeking a Manager-level Product Owner / Product Manager to lead AI-enabled product strategy and delivery in a SAAS setting. You will own the product lifecycle, define roadmaps, and align stakeholders across IT, business ops, and clients.

Lead cross-functional squads including AI scientists, engineers, and designers; drive adoption with client workshops and ROI-focused demos. Strong background in AI tools and enterprise processes is essential.

Qualifications

• 6–10 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 (SaaS/AI platforms).
• Strong backlog management, agile ceremonies, and release planning.

Responsibilities

• Own end-to-end product lifecycle: vision, roadmap, backlog, and release planning.
• Translate enterprise needs into AI-enabled product capabilities and define OKRs.
• Collaborate with engineering, design, data science, and operations to deliver AI-first solutions with ROI.

Skills

Product ownership

Roadmap planning

Backlog management

Agile ceremonies

Stakeholder management

Tools

Azure OpenAI

LangChain

UiPath

PowerBI

ServiceNow

Job description

Job Description: Product Owner / Product Manager (AI Solutions)

Location: Delhi NCR

Level: Manager

About 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 Responsibilities

• Product Ownership & Strategy
  Own 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 Delivery
  Translate 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 Management
  Act 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 & Compliance
  Ensure 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 & Experience

Core Product Management

• 6–10 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 Expertise

• Hands-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 Understanding

• Experience 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 Skills

• Strong 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-Have

• Certifications: 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.