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 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 and own ingestion pipelines from PostgreSQL and Kafka into the analytical platform.
Establish data governance practices including access controls, audit logging, and data lineage.
Define data quality, validation, and reconciliation processes for compliance and reporting.
They are a pre-launch fintech startup building blockchain-based payment infrastructure for real-time movement of digital money. As an early-stage team, they offer a remote-first working environment and the opportunity to build foundational systems from scratch.
Serve as strategic technical leader for customer accounts, driving implementation and adoption of Immuta's platform.
Act as critical link between customers and product organization, capturing feedback and market insights.
Develop technical content and support thought leadership through webinars, briefings, and partner events.
Immuta is a data provisioning company that automates secure, governed data access for enterprises. Founded in 2015, it has raised $267 million and is recognized as a top startup employer with a hybrid workplace.
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.
Define, maintain, and enhance business metadata, including data definitions, classifications, and lineage to ensure clarity and consistency.
Monitor data quality, identify issues, and participate in remediation and root-cause analysis.
Support and maintain stewardship workflows, including approvals, reviews, and documentation updates.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.
Conduct reviews of data repositories to identify data owners and improve access controls.
Partner with stakeholders to gather data access requirements and support restructuring of folder permissions.
Monitor compliance with security policies and develop standardized processes for access management.
BRMi is an IT consulting and solutions firm that helps organizations drive business outcomes through technology. They foster a collaborative culture with a focus on diversity and employee growth.
Develop and implement enterprise Data and AI Governance frameworks, policies, and standards.
Establish risk-based governance processes for AI use cases across their lifecycle.
Partner with cross-functional teams to embed governance into development and change management.
Mercury is a fintech company that provides banking services through partnerships with FDIC-insured banks. It is an Equal Employment Opportunity employer that values diversity and belonging.
Own the permissions and privacy framework as the single business owner, defining role-based access principles and evolving the framework.
Operationalize access and policy management by designing workflows for provisioning, deprovisioning, temporary access, and confidential client handling.
Build audit, monitoring, and risk controls to ensure consistency, detect inappropriate access, and drive cross-system alignment.
Mercer Advisors helps families amplify and simplify their financial lives by integrating financial planning, investment management, tax, estate, and insurance. Serving over 42,800+ families across 110+ cities in the U.S. and ranked #1 RIA Firm by Barron's, it offers a flexible, national workplace with a culture emphasizing diversity and employee well-being.
Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
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.