Primary Duties and Responsibilities: 
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Develop Metadata and Data Lineage Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka, ETL/BI Tools etc. Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures. Experience working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage/ source to target data mapping. Design, Build and Execute Data Quality Rules over the critical data elements (CDEs) identified according to the business needs to ensure clean and healthy data. Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Hands on experience working on data quality and data governance technology and tools. Perform requirements gathering, Data Analysis, Data Profiling to enable all the essential functions of the Data Governance. Design and implement Data Quality Dashboards for monitoring and reporting. Experience creating, developing and managing DG workflows using BPM processes. Perform other duties as assigned.

Qualifications:
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

Bachelor or Master degree in data analytics, computer science or related field. 4+ years of experience in data governance disciplines: data profiling, data quality measurement, exception management, remediation, metadata management and business intelligence Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as IBM InfoSphere Information Server Suite, Collibra or Informatica Experience with Business Intelligence/ Reporting tools such as Tableau / Cognos. Proficient with SQL. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (i.e. Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Previous experience in designing and building data capabilities like data quality, metadata, data catalogues and data dictionary. Demonstrated strong communication and presentation skills. Capital market or banking domain experience is preferred. Prior development / coding experience is preferred. Experience working on APIs, Kafka as Data Sources is preferred.

 

Technical Skills:

Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc

 

Education and/or Experience: 

Bachelor or Master degree in data analytics, computer science or related field.