EXL

Analyzes business data and runs outsourced operations

Data Quality Manager

Manual & Functional QAConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Graduate degree in Computer Science, Data Science, Information Technology, or a related field.
Four to six years of experience in data quality or data management.
Understand testing effort by analyzing project requirements.
Estimate testing time, resources, and budget, and obtain management support.
Organize testing kick-off meetings.
Define the test strategy.
Build a testing team of professionals with appropriate skills, attitudes, and motivation.
Identify training requirements and forward them to the Project Manager, including technical and soft skills.
Develop test plans covering tasks, dependencies, and participants to mitigate system-quality risks and obtain stakeholder support.
Arrange hardware and software requirements for the test setup.
Assign tasks to testing team members and ensure they have sufficient project work.
Ensure testing documents and artifacts are documented and maintained.
Document, implement, monitor, and enforce testing processes according to organizational standards.
Review test case documents.
Track new project requirements and changes to requirements.
Escalate issues about project requirements, software, hardware, or resources to the Project Manager or Senior Test Manager.
Understand Excel and visualization tools, with working experience in Power BI, Tableau, or similar.
Understand batch and real-time data processing.
Understand Agile processes, including Scrum cadences, roles, and deliverables, and have working experience with Azure DevOps, Jira, or similar.

Responsibilities

Manage data quality projects and ensure alignment with business goals.
Ensure adherence to data quality policies and procedures.
Provide strategic guidance on data quality practices.
Lead a team of data quality engineers.
Organize status meetings and send daily, weekly, or other status reports to the client.

Manage data quality projects and ensure alignment with business goals. Ensure adherence to data quality policies and procedures. Provide strategic guidance on data quality practices. Lead a team of data quality engineers.

Graduate in Computer Science, Data Science, Information Technology, or a related field. 4-6 years of experience in data quality or data management.

Strong In/should have:

Understanding the testing effort by analyzing the requirements of project.
Estimating and obtaining management support for the time, resources and budget required to perform the testing.
Organizing the testing kick-off meeting
Defining the Test Strategy
Building a testing team of professionals with appropriate skills, attitudes and motivation.
Identifying Training requirements and forward it to the Project Manager (Technical and Soft skills).
Developed the test plan for the tasks, dependencies and participants required to mitigate the risks to system quality and obtain stakeholder support for this plan.
Arranging the Hardware and software requirement for the Test Setup.
Assigning task to all Testing Team members and ensure that all of them have sufficient work in the project.
Ensuring content and structure of all Testing documents / artifacts is documented and maintained.
Documenting, implementing, monitoring, and enforce all processes for testing as per standards defined by the organization.
Reviewing the Test Cases documents.
Keeping track of the new requirements / change in requirements of the Project.
Escalating the issues about project requirements (Software, Hardware, Resources) to Project Manager / Sr. Test Manager.
Organizing the status meetings and send the Status Report (Daily, Weekly etc.) to the Client

Manage data quality projects. Ensure adherence to policies. Provide strategic guidance. Lead a team.

Basic understanding of:

Excel and visualization tool & working experience in PowerBI or Tableau or Similar
Batch and Real time data processing
Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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