Data Engineering & Business Intelligence Director, Wpromote

• If you’re a strategic thinker who thrives on building data products and mentoring high-performing teams, we’d love to have you join us
• 7+ 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, Meta, Salesforce, etc.)
• Background in digital analytics platforms (e.g., Google Analytics, Adobe Analytics)
• 2+ 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., BigQuery, 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
• Understanding of modern data architecture patterns (e.g., event streaming, data lakehouses)

Desirable

• We are looking for a Director of Data Engineering & Business Intelligence to lead our data platform and analytics innovation efforts
• In this role, you will oversee a team of data engineers and work cross-functionally to design and deliver reliable, scalable, and automated data infrastructure
• This infrastructure powers reporting, analytics, and strategic decision-making across our business and our clients' businesses
• You will help expand the capabilities of our reporting ecosystem by introducing new data sources, building modern reporting interfaces, and spearheading innovation in conversational analytics and real-time data delivery
• Leading and mentoring a team of data engineers to build and maintain accurate, dependable, and automated data pipelines
• Overseeing the architecture and design of our BI ecosystem across internal and client-facing environments
• Driving innovation by exploring new APIs, data providers, and integration approaches to expand our data capabilities
• 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, and analytics
• 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, and developing best practices
• Managing stakeholder expectations, project timelines, and prioritization for cross-functional data initiatives