Senior Global AI Data Architect

Golin is looking for a Senior Global AI Data Architect to join our global AI core team and lead the transformation of how we collect, store, and leverage data across our organization. Reporting to our VP, Global AI Technology Lead, you'll design and implement the data infrastructure that will power our AI-driven future while solving critical challenges around data discoverability, governance, and accessibility.

This is a unique opportunity to shape the future of communications through AI, working directly with local teams to identify real business challenges and convert them into AI-assisted solutions that deliver measurable results.

You'll be at the forefront of our industry's evolution, helping build the blueprint for what a fully AI-integrated marketing agency looks like.

You’ll be building the data foundation that enables Golin's transformation into an AI-integrated communications powerhouse. Your work will directly impact:

• 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

• 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

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related technical field

7 years in data architecture or related roles, with at least 3 years in senior or lead positions. Preference for experience within a PR, advertising, digital media agency

• 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)

• Data Architecture:
  Experience designing and implementing data architectures and governance frameworks across multiple organizations or business units
• Database Technologies:
  Expert proficiency with SQL, No
  
  SQL databases, and data warehousing solutions (Snowflake, Redshift, Big Query)
• 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,…