Remote Data Management Lead Jobs
Remote Data Management Lead jobs are in active demand across the U.S., with remote-first firms and distributed enterprise teams hiring for this role across technology, healthcare, and financial services. Employers hiring remotely right now include Huntington Bank, Blood Cancer United, and U.S. Financial Technology. See the openings below and apply to the ones that match your experience.
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U.S. Financial Technology (U.S. FinTech) is seeking an experienced Enterprise Risk Management Data Analytics Lead to join our team of talented professionals. This is a full-time remote opportunity.
U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.
Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.
Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.
Job Information
This individual will work as part of the U.S. FinTech's Enterprise Risk Management (ERM) function to provide timely reporting across multiple Risk Programs which evaluate the risk and controls structures surrounding the Issuance and administration of GSE Mortgage-Backed Securities. They will be the ERM team’s primary technical resource for designing, developing, and executing data analytics-related activities for KRI, KI trending, graphing/visual display pan ERM. The role would utilize various technologies for the automation of reporting on Risk & Control Self Assessments, operational events, issues and related validations. Role would liaise with ERM management regarding the reporting of ERM data for governance forums.
Key Job Functions
- Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence of AI platforms.
-
Partner with business stakeholders to define metrics, gather and validate requirements, refine business questions, and translate needs into scalable reporting and analytics solutions.
- Analyze business performance, risk indicators, and operational trends to identify opportunities, emerging risks, recurring issues, and areas for improvement.
- Deliver meaningful insights and recommendations that support strategic decision-making, operational effectiveness, and business performance objectives.
- Automate, optimize, and enhance recurring reporting processes to improve efficiency, scalability, accuracy, timeliness, and user adoption.
- Support the development and adoption of advanced analytics capabilities, including AI-enabled reporting, predictive insights, and intelligent automation for ERM AI use cases.
- Ensure the integrity, accuracy, and reliability of reporting through data validation, reconciliation, testing, quality assurance, and documentation standards.
- Communicate complex analytical findings clearly and effectively to executives, business leaders, and non-technical stakeholders.
- Build strong partnerships across business, technology, risk, compliance, audit, and other cross-functional teams to drive reporting maturity and continuous improvement.
- Advance reporting and analytics capabilities by promoting trusted data standards, process optimization, automation, and data-driven decision-making.
Education
- Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline required; advanced degree preferred.
- Certifications preferred: CISA.
- Other nice to have certifications: AWS Certified Data Analytics, IBM Data Analyst Professional, Google Data Analytics Professional.
Minimum Experience
- Minimum of 7-8 years of management experience in enterprise risk, operational risk management
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills
- Proven expertise designing, developing, and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions.
- Advanced analytical and quantitative skills with the ability to transform complex datasets into actionable business insights and recommendations.
- Advanced proficiency in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting.
- Strong hands-on experience with Python, SQL, and PostgreSQL, including data extraction, transformation, automation, analytical modeling, and reporting solutions.
- Demonstrated success partnering with senior stakeholders to translate complex business challenges into scalable analytical and reporting solutions.
- Proven ability to analyze business performance, identify trends, risks, and opportunities, and influence strategic and operational decision-making through data-driven recommendations.
- Exceptional communication, presentation, stakeholder management, and consultative influencing skills across all organizational levels.
- Proven ability to operate independently in a highly visible individual contributor role while leading initiatives and influencing outcomes across teams.
- Track record of delivering measurable business value through reporting innovation, process optimization, automation, and analytics-driven improvements.
- Extensive experience ensuring data integrity, governance, and reporting accuracy through validation, reconciliation, testing, quality assurance, and documentation practices.
- Experience leveraging advanced analytics, predictive modeling, AI-enabled reporting, machine learning, or intelligent automation capabilities.
- Experience within risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or other highly regulated environments strongly preferred.
- Familiarity with Mortgage / Securitization market processes a plus.
Employment
As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.
U.S. Financial Technology is an Equal Opportunity Employer.
##LI-Remote
The Company
U.S. Financial Technology (U.S. FinTech) is seeking an experienced Enterprise Risk Management Data Analytics Lead to join our team of talented professionals. This is a full-time remote opportunity.
U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.
Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.
Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.
Job Information
This individual will work as part of the U.S. FinTech's Enterprise Risk Management (ERM) function to provide timely reporting across multiple Risk Programs which evaluate the risk and controls structures surrounding the Issuance and administration of GSE Mortgage-Backed Securities. They will be the ERM team’s primary technical resource for designing, developing, and executing data analytics-related activities for KRI, KI trending, graphing/visual display pan ERM. The role would utilize various technologies for the automation of reporting on Risk & Control Self Assessments, operational events, issues and related validations. Role would liaise with ERM management regarding the reporting of ERM data for governance forums.
Key Job Functions
- Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence of AI platforms.
-
Partner with business stakeholders to define metrics, gather and validate requirements, refine business questions, and translate needs into scalable reporting and analytics solutions.
- Analyze business performance, risk indicators, and operational trends to identify opportunities, emerging risks, recurring issues, and areas for improvement.
- Deliver meaningful insights and recommendations that support strategic decision-making, operational effectiveness, and business performance objectives.
- Automate, optimize, and enhance recurring reporting processes to improve efficiency, scalability, accuracy, timeliness, and user adoption.
- Support the development and adoption of advanced analytics capabilities, including AI-enabled reporting, predictive insights, and intelligent automation for ERM AI use cases.
- Ensure the integrity, accuracy, and reliability of reporting through data validation, reconciliation, testing, quality assurance, and documentation standards.
- Communicate complex analytical findings clearly and effectively to executives, business leaders, and non-technical stakeholders.
- Build strong partnerships across business, technology, risk, compliance, audit, and other cross-functional teams to drive reporting maturity and continuous improvement.
- Advance reporting and analytics capabilities by promoting trusted data standards, process optimization, automation, and data-driven decision-making.
Education
- Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline required; advanced degree preferred.
- Certifications preferred: CISA.
- Other nice to have certifications: AWS Certified Data Analytics, IBM Data Analyst Professional, Google Data Analytics Professional.
Minimum Experience
- Minimum of 7-8 years of management experience in enterprise risk, operational risk management
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills
- Proven expertise designing, developing, and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions.
- Advanced analytical and quantitative skills with the ability to transform complex datasets into actionable business insights and recommendations.
- Advanced proficiency in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting.
- Strong hands-on experience with Python, SQL, and PostgreSQL, including data extraction, transformation, automation, analytical modeling, and reporting solutions.
- Demonstrated success partnering with senior stakeholders to translate complex business challenges into scalable analytical and reporting solutions.
- Proven ability to analyze business performance, identify trends, risks, and opportunities, and influence strategic and operational decision-making through data-driven recommendations.
- Exceptional communication, presentation, stakeholder management, and consultative influencing skills across all organizational levels.
- Proven ability to operate independently in a highly visible individual contributor role while leading initiatives and influencing outcomes across teams.
- Track record of delivering measurable business value through reporting innovation, process optimization, automation, and analytics-driven improvements.
- Extensive experience ensuring data integrity, governance, and reporting accuracy through validation, reconciliation, testing, quality assurance, and documentation practices.
- Experience leveraging advanced analytics, predictive modeling, AI-enabled reporting, machine learning, or intelligent automation capabilities.
- Experience within risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or other highly regulated environments strongly preferred.
- Familiarity with Mortgage / Securitization market processes a plus.
Employment
As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.
U.S. Financial Technology is an Equal Opportunity Employer.
##LI-Remote
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Find JobsRemote Data Management Lead Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data management lead jobs.
- Five or more years of experience in data management, data governance, or a closely related discipline
- Proficiency with data governance or master data management platforms such as Collibra, Informatica, or Alation
- Experience designing and enforcing data quality standards, metadata management, and data lineage processes
- Familiarity with SQL and the ability to query and audit enterprise data stores independently
- Demonstrated ability to lead cross-functional working groups and present data strategy to executive stakeholders
- Bachelor's degree in information systems, computer science, or a related field, or equivalent professional experience
Tips for Your Remote Data Management Lead Job Search
Demonstrate async data governance skills upfront
Remote employers want proof you can coordinate data stewardship decisions without real-time meetings. Document how you've driven data quality improvements, resolved metadata conflicts, or led governance reviews through written channels, and make that visible in your application materials.
Apply early to remote roles that fit
Migrate Mate lists remote data management lead openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through location-filtered results on general boards.
Show fluency in distributed data tooling
Remote data management leads are expected to work confidently in tools like Collibra, Alation, Informatica, or dbt without in-person IT support. Name the platforms you've used in your resume and be ready to describe your setup and troubleshooting process during interviews.
Prepare for async interview formats
Many remote-first companies use written take-homes, recorded video responses, or multi-day case exercises to evaluate data management leads. Practice explaining your data governance decisions clearly in writing, since remote teams rely on documented reasoning over verbal walk-throughs.
Remote Data Management Lead Jobs: Frequently Asked Questions
How do I get a remote data management lead job?
Target remote-first companies and distributed enterprise teams, which are most likely to have this role fully remote from day one. Remote employers screen heavily for self-direction, clear written communication, and the ability to coordinate data governance work asynchronously across time zones. Strong proficiency in data cataloging tools, metadata management, and data quality frameworks gives candidates a clear edge over applicants with only general management experience.
Which companies hire remote data management leads?
Employers currently hiring remote data management leads include Huntington Bank, Blood Cancer United, and U.S. Financial Technology, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed healthcare data organizations, and financial services firms with global data operations are the most consistent sources of fully remote openings for this role.
Can you get a remote data management lead job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to manage data workflows and lead stakeholders with minimal oversight from day one. Remote-first SaaS companies and smaller distributed teams are more open to candidates early in their careers. You can strengthen your case by showing data quality projects, contributions to open data initiatives, or certifications in data governance frameworks.
Do you need a degree for remote data management lead jobs?
Not always. Many remote employers care more about demonstrated results in data governance, master data management, or data quality improvement than a specific credential. Candidates who can show measurable outcomes from past roles, such as reduced data errors or improved pipeline reliability, often compete effectively alongside applicants with formal degrees in information systems or computer science.
Which industries hire the most remote data management leads?
Remote data management lead roles concentrate in Technology & Software, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams managing complex, high-volume data assets across multiple systems and regions, making remote data management leads a practical staffing choice rather than an exception.
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