Oversee data quality processes, investigate issues, and conduct root cause analysis.
Develop and maintain quality controls, reporting, and AI-assisted workflows.
Build and manage a team of data quality analysts to improve efficiency and accuracy.
ApartmentIQ is a profitable, growth-stage proptech company building AI and data SaaS products for the multifamily housing industry. With over 100 employees spread across the U.S., it has raised $30M+ from top investors and operates with a strict no a**holes policy.
Support the development and adoption of enterprise data governance frameworks and processes.
Collaborate with business and technology stakeholders to improve data quality, transparency, and accountability.
Document roles, standards, and guidance for data governance practices across the organization.
This company operates in the healthcare industry, focusing on data governance and management. It is a large organization with a collaborative culture that values data-driven decision-making and innovation.
Provide stakeholder management, requirements gathering, and data integrity support for clinical informatics projects.
Profile data and monitor data-quality metrics using dashboards in Microsoft Purview, aligning with VA privacy, HIPAA, and FISMA requirements.
Support interoperability, data integrity, and reporting by managing data feeds and performing requirements analysis for improvements.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company employs over 300 people nationwide and focuses on applying technology, creativity, and human-centered services.
Architect and maintain enterprise-scale automated data quality validation frameworks for healthcare data.
Lead root cause analysis and systemic improvements for high-impact data quality defects.
Mentor junior QA engineers and shape data quality strategy across the organization.
Abacus Insights is a healthcare data platform that helps health plans break down data silos to create a single trusted data foundation. Backed by $100M from top investors, the company fosters a collaborative and curious culture that embraces AI and automation.
Design and implement a scalable enterprise data quality framework across data platforms and business domains.
Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions.
Build automated validation checks for critical datasets, workflows, and operational processes.
The hiring company is a technology organization specializing in data engineering and quality solutions. They offer a remote work environment and emphasize collaboration across engineering teams.
Support enterprise data transformation initiatives by contributing to data strategy, governance, and quality.
Coordinate data backlog and assist in establishing governance frameworks and domain ownership.
Collaborate with cross-functional stakeholders to align data initiatives with organizational priorities.
Our partner is a dynamic international organization focused on enterprise data transformation. They operate in a cross-functional environment and value data governance and strategic decision-making.
Research data collection strategies and design high-impact data slices that uncover model failure modes.
Model annotator behavior and design experiments to optimize instruction clarity and reward signal reliability.
Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment.
Surge AI builds a platform that powers the most powerful AI models in partnership with companies like Anthropic, Google, Microsoft, and Meta. They are a profitable, bootstrapped company focused on human intelligence and data quality.
Develop and implement enterprise data catalog strategies and metadata management practices.
Establish data governance frameworks, including ownership structures and stewardship models.
Support data quality improvement initiatives and AI readiness through high-quality data assets.
The company is a data solutions provider focused on building trusted, accessible, and well-managed data foundations. The organization is remote-first and emphasizes collaboration, innovation, and long-term data value creation.
Support Army logistics enterprise data management through data governance, data quality, metadata management, and data modeling.
Conduct research and analysis to evaluate enterprise data, business processes, and data quality issues.
Develop executive-ready briefings, dashboards, and analytical products to support leadership decision making.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. They bring commercial-grade platforms and mission-ready AI to federal agencies, serving defense, space, healthcare, and energy sectors.
Shape Redcare's MDM operating model, connecting different domains through continuous improvement and federated governance.
Lead focused MDM initiatives from design to adoption, defining success criteria around data quality, stakeholder engagement, and compliance.
Design the governed golden record layer, translating business processes into automated data management flows with human-in-the-loop validation.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation to achieve the vision 'Until every human has their health'. The company fosters a healthy, collaborative work environment where employees feel valued and inspired.