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. Requirements Technical Skills: + Structured Query Language (SQL) + Data Governance Tools example, Informatica, IBM ISEE, Collibra etc