
Senior Global AI Data Architect
- Chicago, IL
- $125,000-165,000 per year
- Permanent
- Full-time
- Operational Efficiency: Establishing standardized data practices and improving discoverability to eliminate time lost searching for project assets and information
- AI Enablement: Creating the clean, organized data infrastructure that powers our AI solutions
- Competitive Advantage: Building data capabilities that differentiate Golin in the marketplace
- Future Innovation: Laying the groundwork for advanced analytics, audience building, and trend analysis
- Compliance & Risk: Ensuring data practices meet regulatory requirements and protect client information
- Lead organization-wide transformation of data practices by standardizing processes from collection to governance and implementing scalable architecture solutions that make organizational knowledge easily searchable and accessible across all global offices
- Collaborate with account teams to catalog existing data assets and establish data inventories
- Implement data lineage tracking and documentation standards across all data assets
- Partner with client teams to understand data pain points and develop training programs to ensure adoption of new data practices
- Create automated workflows and establish data quality monitoring with validation procedures, alerting, and remediation
- Design comprehensive backup, recovery, and archiving strategies with disaster recovery plans
- Evaluate current technology stack and third-party platforms to identify gaps in data gathering and processing capabilities, particularly focusing on API capabilities and integration readiness
- Recommend and implement tools for data discovery, cataloging, and governance
- Stay current with emerging data technologies and industry best practices
- Coordinate with parent company data teams on shared data initiatives and cross-network analytics projects
- Architect and plan data warehouse supporting audience building and social trend analysis
- Design ETL pipelines that support both current operations and future analytics needs at scale
- Build monitoring and observability systems for data pipeline health, performance, and cost optimization
- Implement CI/CD practices for data infrastructure deployment and updates with automated testing
- Ensure privacy regulations (GDPR, CCPA) are built into all architecture decisions
- Data Architecture: Experience designing and implementing data architectures and governance frameworks across multiple organizations or business units
- Database Technologies: Expert proficiency with SQL, NoSQL databases, and data warehousing solutions (Snowflake, Redshift, BigQuery)
- Cloud Platforms: Hands-on experience with AWS, Azure, or GCP data services and infrastructure, including cost optimization and performance tuning
- Programming: Advanced proficiency in Python, SQL, and scripting languages for data processing
- Process Transformation: Track record of leading large-scale data transformation projects and standardizing data practices across multiple teams or divisions
- Strategic Leadership: Excellence working with executive-level stakeholders to align data strategy with business objectives and drive organizational change
- Privacy & Security: Understanding of data privacy regulations (GDPR, CCPA) and security best practices
- Data Quality: Experience implementing data validation, monitoring, and quality assurance processes at scale
- Experience in marketing, advertising, or communications industry
- Background with social media data and audience analytics platforms
- Knowledge of modern data stack tools (Fivetran, Stitch, Looker, Tableau)