Job Description

ManagerEXL/M/1464565


Global TechnologyNoida
Posted On
28 Aug 2025
End Date
12 Oct 2025
Required Experience
8 - 16 Years



Basic Section
Number Of Positions


5


Band


C1


Band Name


Manager


Cost Code


G070102


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


3000000.0000 - 3500000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Enabling


Sub Group


Global Technology


Organization


Global Technology


LOB


Global Technology


SBU


Technology Operations


Country


India


City


Noida


Center


Noida - Centre 59




Skills
Skill


PRODUCT MANAGEMENT


Minimum Qualification


B TECH


MBA


Certification


No data available

: Product Owner / Product Manager (AI Solutions)

Location:

Delhi NCR

Level:

Manager

About EXL Service

EXL 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

.
Workflow
Workflow Type


L&S-DA-Consulting