Lead the development and operation of a scalable data governance and data security program across a modern data environment.
Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.
The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.
Implement and maintain data governance capabilities using Informatica Cloud platforms.
Collaborate with stakeholders to define data standards and governance frameworks.
Support compliance with regulatory requirements and leverage AI-enabled tools for governance.
The partner company offers enterprise-scale data governance and quality solutions. They foster a collaborative, remote-first culture with a focus on diversity and equal opportunity.
Lead the development and evolution of data governance frameworks and stewardship practices across the organization.
Partner with stakeholders across Data Strategy, Technology, Security, Legal, and Compliance to strengthen data quality and governance.
Balance strategic thinking with hands-on execution to promote data literacy, accountability, and continuous improvement.
The company is a data-intensive organization operating in the insurance industry. It prioritizes data governance and stewardship with a collaborative, respectful, and solution-oriented culture.
Create and maintain analytical dashboards and management reports to support business decisions.
Perform data modeling, cleansing, and integration from multiple sources, and conduct exploratory and predictive analyses.
Collaborate with stakeholders to translate business needs into analytical solutions, define KPIs, and automate processes with Generative AI.
This company is hiring a mid-level data analyst to support business decisions through data analysis and reporting. It operates in a data-driven environment where analytical thinking and innovation are valued, and offers a fully remote work model.
Lead end-to-end data governance workstreams including data cataloging, data quality, metadata management, lineage, and access control frameworks.
Translate client business needs into governance solutions and roadmaps without requiring significant oversight.
Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.
Lovelytics helps enterprises modernize their data and implement AI, delivering over $2B in business value for Fortune 500 clients. They have grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture that earned them a Best Places to Work recognition.
Build and maintain data governance policies, classification standards, ownership model, and exception process.
Own data access governance for the lakehouse and analytics stack, including entitlement standards and periodic access reviews.
Support sensitive and cross-border data requests, including PII handling and regional data flows.
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world.
Lead the development and maturation of a large-scale healthcare data governance program, providing strategic direction across policy, privacy, and analytics.
Develop governance frameworks, policies, and standards while aligning diverse stakeholders around responsible data use in complex healthcare environments.
Engage with clinical, technical, and government leaders to drive system-level transformation and improve data quality, accountability, and privacy.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications and shares shortlists with hiring companies, ensuring efficiency and privacy compliance.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Support the design, assessment, and improvement of IT controls to strengthen technology governance and compliance.
Perform testing and validation of ITGC, security controls, and QMS controls, and assist with audit activities.
Collaborate with Engineering, Security, Product, Risk, and Quality teams to drive continuous improvement and risk management.
A global technology organization focused on digital environment and security. They operate with cross-functional teams across engineering, security, risk, and product.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.