Senior Director of Data Engineering & Business Intelligence

Role overview

As Senior Director of Data Engineering & Business Intelligence at Wpromote, you will lead a client-facing, high-visibility team covering data engineering, BI engineering, and reporting solutions. You will own the architecture of the BI ecosystem, modernize reporting experiences, and drive innovation in data capabilities across integrations and advanced analytics.

Responsibilities

• Lead BI ecosystem architecture & modernization: Oversee the design and integration of new data sources and modern reporting experiences.
• Manage and mentor teams: Lead data engineers, BI engineers, and reporting solution engineers; build and maintain reliable, automated data pipelines and data models.
• Drive data innovation: Explore and implement new APIs/data providers and integration approaches to expand capabilities.
• Develop modern analytics experiences: Lead the creation of modern reporting interfaces and conversational analytics tools.
• Data quality & governance: Implement and maintain rigorous QA and governance processes.
• Partner with stakeholders: Collaborate with analytics, strategy, and engineering stakeholders to translate business needs into technical solutions.
• ETL/ELT & warehousing: Apply data warehousing best practices and ETL/ELT workflows.

Requirements

• 12+ years experience in data engineering, BI, or analytics (advertising agency or client/brand environment preferred).
• People leadership with 5+ years in a leadership/management role.
• Deep experience with BI platforms such as Looker, Tableau, and/or Power BI.
• Proven ability to build scalable data pipelines and models using SQL, including dbt (or similar).
• Familiarity with modern data architecture patterns (e.g., event streaming, data lakehouses).
• Experience with marketing/sales/digital media data (e.g., Google, Adobe, Meta, Salesforce).
• Strong data governance, QA, and stakeholder communication skills.
• Strong background deploying predictive analytics and AI models into engineering/reporting workflows.
• Cloud data platform and orchestration experience, including BigQuery, Snowflake, Redshift, and Airflow / Cloud Composer.
• Digital analytics platform experience (e.g., Google Analytics, Adobe Analytics).
• Intermediate to advanced Python or R.
• Familiarity with Jira, Asana, or Monday.com.
• Experience with conversational analytics / natural language interfaces / chatbot integration for BI.
• Prior consulting experience (especially in marketing or technology services) is a plus.

Nice-to-haves

• Prior experience in an advertising agency or consulting environment.
• Prior experience with chatbot/conversational BI interfaces and natural language analytics.