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COMPANY OVERVIEW:

 

TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.

 

POSITION SUMMARY:

 

Enterprise Chief Data office is seeking a Lead Data Governance and Metadata Manager to join the Data Governance and Data Quality team. This position will use IBM information Governance Catalog (IGC) and IBM Information Analyzer (IA), SQL, Python, data engineering and metadata management principles to solve enterprise problems through the use of  data discovery, lineage and metadata management using Machine Learning & AI systems across all the digital assets. This role is a key contributor to our practice and will be directly responsible for design, development, deployment and automation. The successful candidate will work closely with key stakeholders to rapidly advance the use of data discovery, metadata management, and lineage and data quality. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across the firm. The Lead Data Governance and Metadata Manager will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant with hands on technology skills. 

 

KEY RESPONSIBILITIES AND DUTIES:
 

  • Establishes and maintained comprehensive data model documentation including detailed descriptions of business entities, attributes, and data relationship with Data lineage and Data quality rules/Policies.
  • Data quality tool to implement policies and set data quality processes. Created Data Dictionaries, Business Glossary and Data lineage artifacts.
  • End to End data discovery and creating the metadata, lineage for data in use, move and store.
  • Able to work proactively and take initiative without being specifically directed
  • Ability to manage and work in small team
  • Ability to correlate findings of data
  • Created quality matrix and defined quality score.
  • Data Profiling, Data Cleansing, and Data Lineage and Data Discovery.
  • Physical data model with DDL that best suits the requirement from the logical data model using forward engineering on Erwin tool.
  • Create and maintained the Data Model repository as per company standards.
  • Worked on Teradata database, PL SQL and SQL server database
  • Data Classification based on Sampling and Labeling
  • Ability to identify actionable intelligence from data analysis
  • Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc.)
  • Ability to communicate complex topics in an easy-to-understand manner when presenting to management
  • Ability to visualize data and intelligence in easy to understand story telling

 

QUALIFICATIONS:
 
Required Skills
  • 4 or more year of working Data Lineage, metadata management and Data Quality
  • 2 or more years of defining and creating Business lineage, technical lineage and data labeling
  • 1 or more years of data profiling and classification
  • 3 or more year of working with SQL
Preferred
  • 3 or more years of working on IBM information Governance Catalog(IGCC) and IBM Information analyzer(IA)
  • 1 or more years with modern data engineering like Kafka, spark, ETL, APIs, feedback loops, web triggers or tagging
  • 1 or more years working with languages such as Python.
  • 1 or more years of working with ETL with data stage
  • 3 or more years with at least one of the following data repository technologies: Oracle, Teradata, SQL Server
  • 2 or more years of Experience presenting and delivering results to business partners and leadership.
  • 1 or more years’ experience in data visualization with technologies such as (Tableau, PowerBI, D3, SAS, R and/or Python visualization libraries)
  • 1 or more years with Reporting and Analytics using ( Tableau , PowerBI)
  • 1 or more years with  AWS Cloud and Cloud Services
  • 1 or more years  with ELK stack
  • 1 or more years applying agile SDLC 
  • 1 or more years working on data stage
  • 1 or more years of Advanced database management skills. 
  • B.S. in a Science, Technology, Engineering, Mathematics (STEM)


Equal Employment Opportunity is not just the law, it’s our commitment. Read more about the Equal Employment Opportunity Law.

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We are an Equal Opportunity/Affirmative Action Employer. We will consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

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