Senior Director, Data Engineering & Business Intelligence

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 Big Query, 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

• 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 in a leadership or management role
• Proven experience building scalable data pipelines and modeling data using SQL and tools like dbt or similar
• Expertise in cloud data platforms (e.g., Big Query, Snowflake, Redshift) and orchestration tools (e.g., Airflow, Cloud Composer)
• Strong understanding of ETL/ELT workflows and data warehousing best practices
• Hands‑on experience integrating with APIs and managing large‑scale data ingestion
• Deep familiarity with BI platforms such as Looker, Tableau, Power BI, or similar
• Excellent communication and stakeholder management skills, including the ability to translate business needs into technical solutions
• Demonstrated experience in implementing and maintaining rigorous data QA and governance processes
• An understanding of modern data architecture patterns (e.g., event streaming, data lake houses)
• Experience in deploying predictive analytics and AI models into engineering and reporting workflows

• Intermediate to advanced experience in Python/ R
• Familiarity with conversational analytics, natural language interfaces, or chatbot integration for BI
• Familiarity with project management tools such as JIRA, Asana, or
• Prior experience in a consulting environment, especially in marketing or technology services