Company Name:-
Crowe

Job Location:-
Noida, Uttar Pradesh

Job Summary:-
Your Journey at Crowe Starts Here:
At Crowe, you have the opportunity to deliver innovative solutions to today’s complex business issues.

Crowe’s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value.

Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a “Best Place to Work.

” We are 75 years strong and still growing.

Come grow with us!
Job Description:
Responsibilities:
Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management.

Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services.

Support the development and maintenance of an end to end data lifecycle management approach.

Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the firm.

Follow the guidelines related to data governance and data quality and ensure clear accountability.

In addition, he/she will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.

Updating a Data Quality dashboard highlighting key issues and deliver status updates on data quality.

Follow standards, policies and processes regarding data quality management.

Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.

Develop control structures within a simple environment to ensure the accuracy and quality of data through all upstream and

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