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.
Lead changes and revisions to master data, metadata, and data hierarchies within given guidelines.
Perform initial data quality checks on extracted data and research inconsistencies in reporting.
Ensure the Sales organization operates off a single source of truth that can be reliably queried and accessed.
Smartsheet empowers teams to manage work and scale solutions, now uniting human teams with AI agents to automate tasks and uncover insights. With over 20 years of experience, the company fosters an inclusive culture where ideas are heard and contributions have real impact.
Design and implement standardized, normalized data models integrating heterogeneous source systems.
Own org-wide architectural decisions for data warehousing, orchestration, and pipeline reliability.
Build and maintain production-grade data services using Python, BigQuery, and dbt.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. The company offers nearshore technology services, including staff augmentation and dedicated IT teams, to empower businesses in an evolving digital landscape.
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.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
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.
Define and execute the enterprise data governance strategy, including cataloging, lineage, and quality rules.
Implement platform-level governance controls in Snowflake, including RBAC, masking, and access policies.
Collaborate with cross-functional teams to embed governance into data products and pipelines.
AHEAD is a technology services company specializing in cloud and data platform solutions. The company culture is hands-on, engineering-driven, and collaborative.
Lead the formalization of enterprise data governance, active metadata management, and data quality to ensure trusted, usable data.
Standardize data taxonomies, dictionaries, lineage, and ontologies to support AI readiness.
Empower cross-functional teams and act as a change agent to drive adoption of data governance processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company has 32,000 employees across 28 countries, serving 93% of the Fortune 100.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Establish and enforce data governance standards across CRM data models, including definitions, ownership, validation rules, and SLAs.
Own data hygiene for accounts and contacts, including deduplication, enrichment, and lifecycle management.
Partner with Sales Ops, GTM Systems, and Marketing Ops to align data architecture with business needs.
Chainguard delivers hardened, secure, and production-ready builds of open source software, helping organizations build faster, stay compliant, and eliminate risk. Backed by top investors and serving Fortune 500 enterprises, Chainguard maintains a remote-first, customer-obsessed culture.