Job Description

Senior ManagerEXL/SM/1386877


Data & Analytics SolutionsChennai
Posted On
20 Jun 2025
End Date
04 Aug 2025
Required Experience
8 - 10 Years



Basic Section
Number Of Positions


1


Band


C2


Band Name


Senior Manager


Cost Code


G230120


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


Backfill


Max CTC


2600000.0000 - 4200000.0000


Complexity Level


Not Applicable


Work Type


Work From Home - Predominantly Working From Home But May Be Required To Work For A Certain No Of Days A Month From Office


Organisational
Group


Healthcare


Sub Group


Healthcare


Organization


Data & Analytics Solutions


LOB


Data & Analytics Solutions


SBU


Data & Analytics Solutions


Country


India


City


Chennai


Center


EXL SCIO Chennai C-52




Skills
Skill


CLOUD APPLICATIONS


BI REPORTING


DATA VISUALIZATION


AGILE METHODOLOGIES


SCRUM METHODOLOGIES


TABLEAU, POWER BI SKILLS


Minimum Qualification


B.TECH/B.E


Certification


No data available

Position Title: Product Manager - Healthcare Data & Analytics

About the Role

As Product Manager, you will lead the strategy, execution, and commercialization of innovative data and analytics products for the U.S. healthcare market. This is a highly collaborative role where you'll work cross-functionally with Engineering, Sales, Design, and Delivery teams to build scalable, interoperable solutions that address core challenges across payers and providers.


You'll be responsible for partnering with the solution offering manager to deliver on the product vision and roadmap, conducting customer discovery, tracking success metrics, and ensuring timely delivery of high-impact features. This role carries revenue responsibilities and is key to EXL Health's broader growth agenda.

Core Responsibilities

Product Strategy & Leadership

Develop and own the quarterly roadmap for healthcare data and analytics solution Manage product backlog and ensure alignment with evolving client needs, compliance mandates (e.g., CMS, FHIR), and company objectives Translate customer pain points and regulatory changes into innovative data-driven products and services. Champion a customer-first approach while ensuring technical feasibility and commercial viability. Stay ahead of technology and market trends--especially in AI, value-based care, and Care Management Collaborate closely with Engineering and Design teams to define and prioritize product requirements.

Client Engagement & Sales Support

Meet directly with clients to shape strategy, gather feedback, and build trusted relationships. Serve as the bridge between client expectations and solution capabilities, ensuring alignment and delivery excellence.

Qualifications

Experience

Minimum 5-8 years of experience in analytics, data platforms, or product management, preferably within the U.S. healthcare ecosystem. At least 3 years in a leadership or client-facing product role, including experience managing end-to-end product development and revenue accountability. Proven success in bringing data or analytics products to market--from ideation through launch and iteration.

Healthcare Domain Expertise

Deep familiarity with U.S. payer or provider environments, including claims, payments, risk adjustment, population health, or care management. Working knowledge of regulatory and interoperability standards (e.g., CMS 0057, FHIR, TEFCA). Hands-on understanding of how data management, analytics, and AI/ML drive value in clinical or operational workflows.

Technical Skills

Practical experience with or exposure to: + Cloud Platforms: Snowflake, AWS, Azure, GCP
+ BI & Visualization Tools: Tableau, Power BI, Qlik
+ ETL/Data Integration: Informatica, Talend, SSIS, Erwin
+ Data Science/AI/ML: Experience collaborating data science teams on AI initiatives
+ Agile/Tools: Jira, Confluence, Asana, Agile/Scrum methodologies


Personal Attributes

Strategic thinker who can dive deep into execution. Exceptional written and verbal communication, with the ability to translate technical concepts for non-technical audiences. Strong organizational, problem-solving, and analytical skills. Passion for innovation, continuous improvement, and cross-functional collaboration. A team-first leader with high emotional intelligence and the ability to mentor others.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Business, or a related field from a top-tier institution.

Workflow
Workflow Type


L&S-DA-Consulting