Data Management Manager (Data Modeling & Business Analytics)

About KhaznaKhazna launched in 2020 with a mission to improve the financial well-being of the underbanked, who have little access to formal financial services, by providing access to convenient, effective, and secure smartphone-based financial services. Khazna has received the Central Bank of Egypt’s first prepaid card license and aims to become the go-to neobank for underbanked consumers across the Middle East. In the next phase of its journey, Khazna is looking to continue scaling up its operations in Egypt and to launch its operations in Saudi Arabia.This is a fun stage in the company's lifecycle, as the core foundation has been but it is still early enough to assume a ton of ownership and to help shape the future of the company and its success.About the roleOwn the structure, reliability, and usability of Khazna’s data layer in Egypt and KSA. Convert fragmented operational data into a governed, scalable data model that supports decision-making, growth, and product monetization. Eliminate metric ambiguity, enforce a single source of truth, and enable business teams to operate independently through analytics.Core Responsibilities1) Data Modeling & ArchitectureDesign and maintain scalable data models (fact/dimension, star/snowflake schemas) aligned with business use casesDefine canonical datasets for core domains (users, transactions, lending, payments, risk, engagement)Standardize metric definitions and enforce consistency across teamsOwn logical data model design and schema definitions; partner with Data Engineering on physical data warehouse implementation and evolution2) Business Analytics EnablementTranslate business questions into structured datasets and dashboardsBuild and own executive dashboards (growth, retention, revenue, risk)Enable self-serve analytics for product, growth, finance, and operations teamsDrive cohort analysis, funnel analysis, LTV, CAC, and unit economics frameworks3) Data Governance & QualityDefine data ownership across teamsEstablish validation, monitoring, and anomaly for business data; partner with Data Engineering for monitoring and enforcementMaintain documentation for datasets, pipelines, and definitionsEnsure compliance with data privacy and regulatory requirements4) Cross-functional LeadershipPartner with Growth, Marketing, Operations, Product, Risk, and Finance to align on data needsAct as the gatekeeper for metric definitions and reporting standardsPrioritize analytics roadmap based on business impactMentor analysts and build a high-leverage data team5) Data Pipeline AwarenessCollaborate with data engineers on pipeline design and performanceUnderstand ETL/ELT workflows, data ingestion, and transformation logicRequired Skills:TechnicalStrong SQLDeep understanding of data modeling principles (dimensional modeling, normalization vs denormalization)Experience with data warehouses (BigQuery, Snowflake, Redshift or equivalent)Hands-on experience with BI tools (Tableau, Looker, Power BI, Metabase)Experience building analytical datasets and dashboards at scaleAnalyticalStrong business intuition (growth, fintech, lending, risk preferred)Ability to define and standardize KPIs across teamsExperience with cohort analysis, funnel optimization, and experimentationLeadershipProven experience managing analysts or data teamsAbility to enforce structure in ambiguous environmentsStrong stakeholder management across technical and non-technical teamsNice to HaveHands-on experience with data engineering concepts (ETL pipelines, data ingestion, streaming)Experience working in fintech, lending, or regulated environmentsFamiliarity with event-driven architectures and product analytics trackingExperience implementing data governance frameworks from scratchSuccess MetricsSingle source of truth established across all core business metricsReduction in conflicting reports and metric discrepanciesAdoption of self-serve dashboards across business teamsImproved decision speed and quality across growth and productScalable, documented, and reliable data models supporting all analytics needs