Director, Business Intelligence
Role details
Job location
Tech stack
Job description
We're looking for a highly hands-on, commercially minded Director of Business Intelligence to build and own Cognism's end-to-end data and analytics environment. You'll lead a player-manager BI function responsible for architecting our data lake, warehouse, ETL/ELT pipelines, modelling layers, governance frameworks and visualization systems. The role partners closely with the C-suite, delivering accurate insights, consistent KPIs and scalable analytics for a global SaaS business., * Design and implement Cognism's complete data architecture, including warehouse, lake, ETL/ELT pipelines, modelling layers and BI tooling.
- Build and lead a BI organisation spanning data engineering, analytics engineering and BI/insights.
- Own Cognism's KPI framework, ensuring consistent definitions across ARR, churn, NDR/GDR, pipeline performance, product usage and people metrics.
- Deliver Executive and Board-level dashboards, reporting and insights that drive decision-making.
- Partner with GTM, Product, CS, People and Finance to improve forecasting accuracy, churn prediction, GTM efficiency and product adoption.
- Establish data governance, including data quality, access controls, lineage and documentation.
- Collaborate with Product and Engineering on event tracking, data capture and instrumentation.
- Champion self-serve analytics and improve data literacy across Cognism.
Requirements
- 10+ years' experience in BI, analytics, data engineering or data architecture in a SaaS / recurring revenue environment.
- Hands-on operator with expert SQL and strong data modelling foundations (player-manager mindset).
- Direct experience designing modern data stacks (warehouse, ETL/ELT, BI tools - technology agnostic).
- Proven ability to build and manage BI or data teams in Series C+ or high-growth SaaS companies.
- Strong command of SaaS metrics including ARR, churn, NDR/GDR, pipeline conversion and product usage analytics.
- Excellent cross-functional partnership skills across GTM, Product, CS, People and Finance.
- Outstanding communication and insight generation, with executive-ready presentation capability.
Advantageous:
- Exposure to data governance frameworks, metadata management or observability tooling.
- Experience supporting multi-entity, multi-product or global SaaS environments.
- Background in Finance, RevOps, Engineering or Product analytics.