Company
advertising agency
SeniorDirector,DataEngineering&BusinessIntelligence
Neural analysis suggests this role is
optimal for Director candidates.
“Senior Director, Data Engineering & Business Intelligence. Skills: Data Engineering, Business Intelligence, Data Modeling, Cloud Data Platforms. Lead and mentor data engineers. Oversee BI ecosystem architecture”
What You'll Achieve.
build and maintain accurate, dependable, and automated data pipelines and data models; empower users to self-serve insights; improve reliability and consistency across client deliverables; manage client deliverables efficiently and effectively; ensuring high-quality execution on active client work
Industry & Context.
troubleshooting; technical tradeoffs
What They're Looking For.
Must Have
12+ years of experience in data engineering, BI, or analytics, Experience working with marketing, sales, or digital media data, Background in digital analytics platforms, 5+ years in a leadership or management role, Proven experience building scalable data pipelines, modeling data using SQL, Expertise in cloud data platforms, orchestration tools, understanding of ETL/ELT workflows, data warehousing best practices, Hands-on experience integrating with APIs, managing large-scale data ingestion, Deep familiarity with BI platforms, Excellent communication and stakeholder management skills, Demonstrated experience in implementing and maintaining rigorous data QA and governance processes, An understanding of modern data architecture patterns, Experience in deploying predictive analytics and AI models
Nice to Have
experience in data engineering, BI, or analytics within an advertising agency environment, client (Brand) environment, Intermediate to advanced experience in Python/ R, Familiarity with conversational analytics, natural language interfaces, or chatbot integration for BI, Familiarity with project management tools, Prior experience in a consulting environment, especially in marketing or technology services
What You'll Do.
Lead and mentor data engineers
Oversee BI ecosystem architecture
Drive innovation with new data sources
Serve as coach-player on client work
Partner with stakeholders on data requirements
Design scalable data models using dbt
Lead development of reporting interfaces
Evolve QA processes and data governance
Lead data modernization with AI-assisted workflows
Manage stakeholder expectations and timelines
How You'll Work.
Team & Collaboration
Partnering with analytics, strategy, and engineering stakeholders; cross-functional data initiatives
Communication Scope
Excellent communication and stakeholder management skills; translate business needs into technical solutions
Process & Methodology
project timelines, prioritization, technical tradeoffs
Full Job Description
## You Will Be Leading and mentoring a team of data engineers, business intelligence engineers, and reporting solution engineers to build and maintain accurate, dependable, and automated data pipelines and data models Overseeing the architecture and design of our BI ecosystem across internal and client-facing environments while remaining hands-on in the design and development of client-facing solutions Driving innovation by exploring new APIs, data providers, and integration approaches to expand our data capabilities Serving as a coach-player across client work, guiding technical approach and best practices while directly contributing to pipeline development, data modeling, QA, troubleshooting, and delivery Partnering with analytics, strategy, and engineering stakeholders to define and deliver on data and reporting requirements Designing scalable and reusable data models using dbt and BigQuery, optimized for reporting, forecasting, analytics, and client-specific customization Leading the development of modern reporting interfaces and conversational analytics tools that empower users to self-serve insights Evolving and enforcing QA processes, data governance standards, documentation practices, and engineering best practices to improve reliability and consistency across client deliverables Leading data modernization by utilizing AI-assisted workflows and automation to manage client deliverables efficiently and effectively Managing stakeholder expectations, project timelines, prioritization, and technical tradeoffs for cross-functional data initiatives while ensuring high-quality execution on active client work ## You Must Have 12+ years of experience in data engineering, BI, or analytics within an advertising agency environment (preferred) and/or client (Brand) environment Experience working with marketing, sales, or digital media data (Google, Adobe, Meta, Salesforce, etc.) Background in digital analytics platforms (e.g., Google Analytics, Adobe Analytics) 5+ years i
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