IDQ Tech Lead

Job Description

Role: DQ Tech Lead

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Responsibilities:

• Create and manage a Data Quality Management framework for the organization.

• Should have good understanding of Data profiling, Data discovery, Data Cleansing, Data Standardization process.

• Should have good data analysis and SQL experience.

• Facilitate the development and implementation of data quality standards.

• Work closely with data owners, data users and data custodians (IT) to ensure the root cause of reported data issues is understood and underlying problems as well as associated symptoms are resolved.

• Establish & maintain Data Quality Scorecards to pro-actively monitor and report on data quality across the group.

• Identify, compare, and resolve data quality problems.

• Evaluate large dataset for quality and accuracy.

• Determine business impact level for data quality issues.

• Design and Develop code to find and correct data quality errors.

• Determine root cause for data quality errors and make recommendations for long-term solutions.

• Research and determine scope and complexity of issue to identify steps to fix issue.

• Develop process improvements to enhance overall data quality.

• Develop and execute data cleanup measures.

• Ensure adherence to data quality standards.

• Resolve all internal data exceptions in timely and accurate manner.

• Identify areas of improvement to achieve data quality.

• Analyze, query, and manipulate data according to defined business rules and procedures.

• Educate data stakeholders on key data concepts and the value of data quality process.

Qualifications:

1. Data Quality project experience

2. Have performed in a data analyst role

3. Used any one of the Data quality tools in the industry

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

#LI-AV1 #CB