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.
Identify, assess, and monitor risks associated with AI, machine learning, and generative AI across the organization.
Support AI governance, risk monitoring, and control evaluation to ensure responsible adoption of emerging technologies.
Collaborate with cross-functional teams to translate complex AI risks into actionable business insights.
BECU is a financial cooperative serving 1.5 million members with over $30 billion in assets. With a people-helping-people philosophy since 1935, the organization fosters a purpose-driven, collaborative culture focused on technology transformation and community impact.
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.
Assess and mitigate privacy risks across enterprise operations and third-party relationships, including PIAs and DPAs.
Support responsible AI governance by conducting AI risk assessments and monitoring emerging regulations.
Collaborate with Legal, Security, IT, and business stakeholders to ensure compliance with global privacy laws like HIPAA and GDPR.
Accuray develops, manufactures, and sells radiotherapy systems for alternative cancer treatments. With a global presence, they foster an inclusive and collaborative work environment focused on patient-first outcomes.
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.
You will create and implement data and AI governance policies, ensuring alignment with business objectives and regulations like LGPD and GDPR.
You will collaborate with architecture, engineering, legal, and security teams to embed governance practices throughout the data lifecycle.
You will monitor data quality, conduct audits, and drive continuous improvement of governance capabilities across the organization.
The partner company focuses on data and AI governance, ensuring safe, ethical, and compliant use of data across the organization. It offers a fully remote, flexible, and inclusive work environment that values ownership, collaboration, and continuous improvement.
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.
Own the vision, strategy, and roadmap for AI Security Governance across five control pillars.
Architect and deploy hands-on security controls for AI detection, data protection, and agent permissions.
Drive AI-automated workflows and author risk narratives for CISO, board, and Audit Committee audiences.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent are unstoppable together.
Partner with cross-functional teams to optimize risk operations and improve workflows.
Analyze operational data to identify trends, risks, and opportunities for process improvement.
Leverage AI tools and automation to enhance decision-making and efficiency.
The company operates in the technology sector, focusing on risk management and compliance. It maintains a supportive culture that values innovation, continuous learning, and operational excellence.
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 implement the data security framework for the lakehouse, including RBAC, ABAC, and column/row-level security.
Lead compliance programs for applicable regulations: GDPR, CCPA, HIPAA, SOC 2, PCI-DSS.
Conduct data risk assessments and threat modeling for platform components and data pipelines.
Dynata is the world's largest first-party data and insights platform, serving nearly 6,000 customers globally. The company fosters a collaborative, inclusive culture focused on inspiration, excellence, and employee growth.
Drive global privacy program execution and AI governance, advising on GDPR, EU AI Act, and other frameworks.
Partner with R&D to embed privacy into AI-driven product features and provide product-privacy legal counseling.
Build and operate AI-enabled privacy workflows, including automation of DPIA triage and subprocessor determination.
Abnormal AI is an AI-native cybersecurity company that uses behavioral AI to stop attacks that get past everything else. With over 4,500 enterprises trusting their platform, they foster a culture of innovation and responsibility.
Support the development, implementation, and continuous improvement of the data governance framework, including policies, standards, and procedures.
Act as a Data Standards Architect by defining and maintaining data standards, naming conventions, and governance requirements across systems.
Establish clear data ownership, stewardship, and accountability models, and partner with various teams to operationalize governance requirements.
Our partner is a company focused on a large-scale modernization program supporting federal courts nationwide. They offer a highly collaborative, mission-focused environment centered on modern cloud-based data capabilities.
Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
Translate complex technical concepts into clear insights for stakeholders and support regulatory readiness.
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.
Zscaler accelerates digital transformation with a cloud-native Zero Trust Exchange platform that protects customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, valuing impact over activity.
Design and own technical architecture of a multi-cloud data and analytics platform serving VA users and Veteran data.
Lead data architecture modernization, governance, and compliance strategies.
Collaborate with data engineers, analysts, and VA stakeholders to deliver scalable data products.
Oddball delivers quality software solutions to the federal space. Their team of experienced engineering, product, and UX professionals values learning and growth in a rapidly growing company.
Drive AI security innovation and strategy, ensuring secure AI adoption across the platform and internal productivity initiatives.
Implement AI guardrails and defenses against AI-based threats, while leveraging AI for security benefits.
Lead security initiatives, architect solutions, and mentor engineers to elevate the overall security posture.
Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. The company serves over 1,400 firms in nearly 60 countries and manages nearly $9 trillion in assets, with offices worldwide.
Lead data governance standards and analytics architecture, ensuring initiatives are built on a scalable and governed foundation.
Serve as a technical partner to Innovation, Data Science, and Reporting teams, guiding solution design and delivery.
Define guardrails, manage technical debt, and assess feasibility to drive measurable business outcomes.
Cotiviti is a healthcare analytics company that helps clients improve financial and clinical outcomes through data-driven solutions. The company values a collaborative culture and supports a distributed team, emphasizing high-performance and customer satisfaction.