Data Platform Intelligence Manager - B2B
by Property Finder in Real Estate Development & Property Management
pleaThe Data Platform Intelligence Manager - B2B at Property Finder, a leading property portal in the MENA region and a fast-growing proptech organization, leads a high-performing Data Engineering team as a people-first Engineering Manager, focusing on maximizing Team Output × Team Health rather than hands-on coding. Reporting to the Director of Data Platform Intelligence, the role acts as the core engineering partner to B2B Product and Commercial organizations, co-owning the roadmap for how data powers enterprise offerings and moving beyond fulfilling data requests to building highly scalable data products that deliver actionable customer intelligence, optimize commercial performance, and provide deep behavioral insights. The mandate includes championing the architectural and operational evolution of the foundational data platform, guiding the transition from traditional descriptive data pipelines into a proactive, AI-enabled intelligence engine by embedding advanced analytics and machine learning capabilities into core infrastructure to drive product monetization, enhanced customer ROI, and long-term retention. The tech stack includes Python and SQL; orchestration with Dagster (migrating from legacy Airflow); compute and storage with AWS Redshift, S3, Clickhouse, and Athena; transformation with dbt (Core/Cloud) and Fivetran; infrastructure on AWS (ECS/EKS, Glue, Lambda) using Terraform with Terragrunt; and AI/GenAI capabilities leveraging AWS Bedrock, AWS Agentcore, and LangChain. The role drives Business OKRs, translates business requirements into technical roadmaps, articulates technical debt, risks, and architectural trade-offs such as cost vs. latency to Product, Finance, and Executive stakeholders, owns Agile delivery processes including Sprint Planning, Standups, and Retrospectives, manages backlogs balancing features, tech debt, and infrastructure investments, and serves as primary contact for downstream consumers such as Data Science, Analytics, and Product teams. It enforces coding standards, CI/CD practices, architectural guidelines, monitors SLAs, data freshness, pipeline reliability, incident response, leads Root Cause Analysis (RCA), champions Cloud Cost Optimization (FinOps) on AWS, automates workflows including documentation, data validation, and metadata, builds natural-language interfaces for enterprise-wide data access, architects scalable feature pipelines for predictive models and monetization algorithms, deploys LLM-powered observability and automated RCA to reduce MTTR, and leverages Agile/Scrum methodologies and project management tools such as Jira and Linear in high-stakes production environments.