Manager, Analytics, Data Engineering & Governance

Rise, a Quad agency, is an award-winning full-service media agency that leverages data and advanced analytics to create omnichannel experiences. The Manager, Analytics, Data Engineering & Governance will oversee the administration, governance, and operational enablement of audience and marketing data platforms, ensuring data security, compliance, and accessibility.

Responsibilities:

• Administer and support Snowflake environments used for audience data, analytics, and marketing programs
• Manage User access and permissions
• Manage Role-based security controls
• Manage Data organization and environment structures
• Support ingestion and organization of third-party and licensed data within Snowflake
• Partner with analytics and engineering teams to ensure data availability and usability for downstream processes
• Help troubleshoot data access, governance, and platform-related issues
• Support governance processes related to audience, client, and marketing data usage
• Help ensure compliance with: Data licensing agreements, Internal governance standards, Privacy regulations and client-specific requirements
• Assist in maintaining documentation related to data access, usage approvals, and governance procedures
• Support operational readiness for audits and compliance reviews
• Support secure handling and governance of: Personally Identifiable Information (PII), Protected Health Information (PHI), Other sensitive or regulated client data
• Ensure appropriate controls are applied to sensitive datasets, including access restrictions and approved usage practices
• Partner with compliance and security teams to support high-compliance client environments and data protection requirements
• Help ensure data workflows align with organizational and regulatory security standards
• Support governance activities related to: SOC 2 compliance, Client data audits, Internal security reviews
• Maintain and organize documentation supporting audit readiness and data governance controls
• Assist in validating that data access, retention, and usage practices align with established standards and policies
• Support remediation and follow-up activities related to governance or compliance findings
• Support onboarding and operational integration of third-party data providers
• Maintain documentation of partner data attributes, usage rights, and applicable use cases
• Ensure partner data is properly governed and aligned with allowable usage terms
• Coordinate with internal teams to support compliant and effective use of partner data
• Work across: Analytics and Data Science, Technology and Engineering, Legal and Compliance, Audience & Data Services, Sales and Account teams
• Support alignment between data governance requirements and operational business needs
• Escalate complex technical, legal, or compliance issues as appropriate

Requirements:

• 5+ years of experience in data operations, data governance, marketing data environments, or related roles
• Hands-on experience supporting Snowflake or similar cloud-based data platforms
• Experience working with sensitive or regulated data environments preferred
• Exposure to third-party data, audience data, or marketing analytics
• Experience supporting Snowflake administration including user roles and permissions, access controls, data organization and governance
• Familiarity with structured datasets and cloud data environments
• Basic working knowledge of SQL and data querying concepts
• Understanding of data privacy and governance practices
• PII and PHI handling requirements
• SOC 2 or similar compliance frameworks
• Ability to follow and support established governance procedures and controls
• Strong organizational and cross-functional collaboration skills
• Ability to communicate technical concepts clearly to non-technical stakeholders
• Detail-oriented with strong process discipline and follow-through
• Snowflake administration
• Data governance & access management
• PII / PHI handling awareness
• SOC 2 and audit support
• Data partnership coordination
• Cross-functional collaboration
• Experience working with sensitive or regulated data environments