Data Operations Manager

AI overview

Manage and optimize data operations for servicer-provided loan-level datasets, ensuring compliance, efficiency, and timely data availability while leading a focused data operations team.
Key Responsibilities:  
  • Demonstrate deep, hands-on expertise with servicer-provided loan-level data, including time-series behavior, population dynamics, and field-level inconsistencies.
  • Effectively review raw datasets, execute SQL queries, validate data mappings, and resolve data anomalies, with the capability to engage directly in technical tasks when necessary.
  • Provide guidance to analysts on data mapping, QC rule development, and workflow optimization, offering clear direction and leadership without reliance on a large support team.
  • Develop and implement data operations strategies, policies, and procedures to ensure efficient data processing and management. 
  • Monitor data integration, ETL processes, and data pipeline management to ensure timely and accurate data availability. 
  • Optimize data workflows and processes to improve efficiency and reduce operational costs. 
  • Ensure compliance with data governance and security standards, including data privacy regulations. 
  • Manage the data operations team, providing direction, support, and performance feedback. 
  • Manage data-related incidents and provide timely resolutions to minimize impact on business operations, including resolution of third-party data issues with servicers, originators and other data providers 
  • Stay current with industry trends and best practices in data operations and recommend improvements to enhance our capabilities. 
  
Qualifications:  
  • Proven experience in data operations and data management for US residential loan data.  8-10 years of experience preferred. 
  • In-depth knowledge of lending data, with experience in US residential mortgages required.   
  • Experience with data management tools and technologies, such as SQL, data warehousing, and cloud data platforms. 
  • In-depth knowledge of data integration, ETL processes, and data pipeline management 
  • Bachelor's degree in a business or data related field. Master's degree preferred. 
  • Excellent problem-solving and analytical skills, with keen attention to detail. 
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels   
About RiskSpan  
RiskSpan is a SaaS Fintech B2B software and services firm, a leading source of analytics, modeling, data and risk management solutions for the consumer and institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk and information technology domains.  
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