Build and scale a comprehensive data governance program from the ground up, covering ownership, stewardship, quality, lineage, and compliance.
Partner with Data Engineering, Product, and Legal teams to define and implement governance standards across critical data domains.
Establish data quality frameworks, enterprise dictionaries, and controls to support trustworthy AI and data products.
The company is a partner organization focused on building scalable data governance programs. They offer a remote-first environment with a collaborative culture and opportunities for professional growth.
Own mapping and governance of payer/plan and HCP/provider records into DecodeRx hierarchies.
Conduct content research to enrich records and assign confidence ratings for senior validation.
Monitor data quality, create dashboards, and support data governance policies and best practices.
Precision AQ maintains governed payer and provider intelligence assets that support healthcare market access decisions. The company emphasizes data accuracy, collaboration, and continuous improvement across global product, engineering, and delivery teams.
Monitor datasets for completeness and accuracy, validate outputs across systems to ensure data integrity.
Analyze and triage data-related issues, perform root cause analysis across the full data lifecycle.
Collaborate with technical teams to resolve issues, maintain runbooks, and drive continuous improvement of data quality processes.
Hyland pioneers the Content Innovation Cloud, providing enterprise intelligence solutions that unlock actionable insights and drive automation. Trusted by thousands of organizations worldwide, including many Fortune 100 companies, Hyland employs nearly 4,000 people and fosters an employee-centric, inclusive culture focused on career development, wellbeing, and community impact.
Define quality performance standards, instrument measurement systems, and report on metrics across teams.
Run continuous quality monitoring, report weekly findings, and own the coaching framework for consistent feedback.
Partner with Product and Tech to embed quality into workflows, identify recurring issues, and create data-backed product requirements.
Dearest Care combines smart software and human advocacy to guide Medicare patients through diagnoses, medical bills, and care plans. It is a Series A company with a lean, impact-focused team that values conscious leadership and rapid iteration.
Run Databricks Unity Catalog and Atlan as the technical backbone for certifying data domain by domain.
Stand up continuous, agent-driven scoring that evaluates data quality and trust long after initial certification.
Own executive intelligence reporting on data trust levels and govern AI agents consuming Veeam's data.
Veeam is the Data and AI Trust Company, specializing in data resilience and security posture management to enable safe AI at scale. Headquartered in Seattle with offices in over 30 countries, Veeam protects more than 550,000 customers worldwide and is built for the convergence of identity, data, security, and AI risk.
Investigate and resolve data quality issues through direct, hands-on analysis.
Maintain and execute data quality controls, review processes, and standard operating procedures.
Communicate analytical findings and recommendations clearly to cross-functional stakeholders.
We are a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. We are a fully remote team of 100+ spread across the U.S., with a strict no a**holes policy and a focus on high performance.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
Perform data quality monitoring, governance compliance reviews, and data stewardship coordination.
Maintain governance documentation and support knowledge transfer to government staff.
Support RBAC design and implementation aligned with Microsoft Entra ID and the DoWEA governance framework.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Their teams work across cloud platforms, DevSecOps, AI/ML, and modern software engineering initiatives, collaborating closely with leadership and mission stakeholders.
Own the quality analysis of annotated data across computer vision and ML programs, making judgment-heavy calls that cannot be outsourced.
Analyze annotation data to detect anomalies and distinguish between annotation error, model error, and genuine field degradation.
Build and maintain performance trackers, root cause analysis documentation, and pattern libraries that the team relies on.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows, making operations smarter and safer. The company is a small, fast-moving engineering team with a culture of deep technical accountability and cross-functional collaboration.
Own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets.
Serve as the quality authority for the data, triaging and classifying data quality alerts.
Partner with Data Engineering on table design, partition strategy, and incremental patterns.
Arcadia helps healthcare organizations transform complex data into a unified foundation for health, enabling better care and lower costs. The company is a team of fiercely driven individuals committed to making healthcare more sustainable, and they are growing fast as a market leader in population health management.
Lead data governance, master and reference data initiatives that improve data quality and operational effectiveness.
Identify, assess, and resolve data-related issues and risks that could impact business operations.
Partner with business and technology teams to ensure data changes are validated and operationally ready before deployment.
Syngenta Seeds Field Crops is a global Ag Tech company shaping the future of agriculture by uniting precision breeding, advanced biotechnology, and digital platforms to help farmers mitigate risks and promote sustainable practices. The company fosters a collaborative culture that celebrates belonging, supports professional development, and strives for work-life balance.
Lead the strategy and architecture of Alto's data platform, ensuring high-quality data fuels analytics and machine learning.
Manage and grow a high-performing data engineering team, fostering technical excellence and cross-functional partnership.
Drive data governance, reliability, and innovation in a regulated healthcare environment.
Fuze Health is a digital healthcare company that connects patients with care providers and resources through technology. It combines industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy to create a unified force in healthcare.
Design, build, and maintain scalable data pipelines for analytics and operational use cases.
Develop dbt models, manage Airflow orchestration, and drive data quality and observability.
Lead technical design reviews, mentor engineers, and champion self-service analytics.
PENN Entertainment is a leading provider of integrated entertainment, sports content, and casino gaming experiences. With locations throughout North America, we support career growth and challenge conventions in gaming.
Own end-to-end delivery of data assets, ensuring secure, reliable, and timely availability of prioritized data for business use cases.
Lead data design, ingestion, and build processes while coordinating with stakeholders and ensuring compliance with governance standards.
Manage a technical build squad, document data transformations, and own data quality through monitoring and issue resolution.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they are 8,000 employees across 25 countries, collaborating to build solutions with real impact.
Analyze large US healthcare claims datasets to identify patterns, data quality issues, and product improvement opportunities.
Write and optimize SQL queries for data extraction, profiling, reconciliation, and impact analysis.
Collaborate with product owners, engineering, engagement, and account teams to support validation, testing, and documentation.
Precision AQ is a healthcare data and analytics company that builds data products supporting US healthcare market access and patient outcomes. It operates as part of the Precision Medicine Group, with a collaborative, cross-functional culture focused on delivery and innovation.
Design and maintain scalable people-data models and architecture within the enterprise data warehouse.
Establish automated data-quality monitoring, validation rules, and end-to-end lineage controls.
Own the AI-readiness roadmap and drive technical infrastructure investments to enable approved AI use cases.
They are a multinational technology consulting firm that helps businesses leverage technology for success. Founded in 2016, the company has Swiss roots and a development team in Latin America, blending Latin American talent with Swiss organizational culture.
Own the data architecture, pipelines, and BI layer (Snowflake, dbt, HEX) to support operations and leadership.
Partner with the COO and cross-functional teams to translate operational questions into trusted data products and automated reporting.
Establish metric definitions, data quality standards, and governance while building from scratch as the first dedicated analytics hire.
ComputerCare has spent more than 20 years building something rare in the IT world: a company where technical excellence and genuine human connection are valued equally. As a woman-owned business serving innovative companies worldwide, we combine certified technical expertise with a human approach.
Own the reporting infrastructure that powers decision-making across Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals.
Partner with Yield, Paid Media, and Account Management teams to uncover meaningful trends and conduct retrospective analyses.
Standardize dashboards, develop trusted data sources, and drive data literacy to enable confident self-service analytics.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands including FinanceBuzz, All About Cookies, and OnlyInYourState. It is bootstrapped and profitable with a South Florida HQ and a remote-first team across 18 countries.
Own the integrity, validation, and reliability of data pipelines powering the product.
Design and execute frameworks for data quality assurance and validation across the organization.
Partner with engineering, quantitative modelers, and solution architects to ensure data is launch-ready and validated.
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. Led by pioneers in data, climate, and technology, the company fosters an inclusive, mission-driven culture and is committed to preparing economies for climate change.
Administer and optimize the Precisely/Evolve platform for data quality, enrichment, matching, and survivorship across customer, vendor, and product domains.
Design, build, and deploy data quality rules and workflows based on business requirements, monitoring platform performance and data accuracy.
Collaborate with Operations, Supply Chain, Finance, and IT to translate domain needs into technical solutions and ensure integration with SAP environments.
The partner company focuses on improving enterprise data quality and reliability through Master Data Management. The organization operates globally with cross-functional teams and emphasizes continuous improvement and data governance.