Senior Data Architect – Banking

SSC HR Solutions

. Own the customer data use case library and define the commercial purpose of each use case .

Posted 9/18/2026full-timeRemote • EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in customer data architecture and analytics, with a strong focus on customer segmentation, campaign design, and measurement frameworks. Proven ability to translate business objectives into actionable data requirements and manage customer use cases end to end within the banking sector.

Highest-signal resume keywords

Customer Data ArchitectureCustomer Segmentation StrategiesCampaign AnalyticsSQL SkillsBanking Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Customer AnalyticsCustomer SegmentationCampaign DesignData AnalysisCustomer Value ManagementChurn ManagementRetention StrategiesUpsell TechniquesControl Group DesignIncrementality Measurement

Soft Skills

Strong Communication SkillsCommercial JudgmentCollaboration with Technical Teams

Tools & Technologies

Customer Data PlatformsCRM PlatformsCampaign Management Platforms

Industry Keywords

Banking SectorCustomer Lifecycle ManagementBehavioral DataTransactional DataCustomer Profiles

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the customer data use case library and define the commercial purpose of each use case
Translate business objectives into customer attributes, segments, and actionable data requirements
Design and define customer segmentation strategies for targeted campaigns and customer lifecycle management
Own use cases end to end, including churn, retention, dormancy, win-back, upsell, tariff migration, and device upgrade
Define customer base management strategies and identify high-value customer segments
Design campaign targeting criteria and ensure segments are practical and commercially actionable
Work with customer data and campaign management platforms to build and activate segments
Define measurement frameworks for campaign performance, customer response, and incremental impact
Design control groups and measurement approaches to evaluate campaign incrementality
Analyze customer behavior and identify opportunities for retention, cross-sell, upsell, and reactivation
Work closely with engineering and data teams to specify required customer attributes, segment logic, and data definitions
Challenge unnecessary segmentation and prioritize use cases that can be practically activated and measured
Ensure customer segments have clear business definitions, eligibility criteria, and measurable outcomes
Support the development of reusable customer data and campaign use cases across banking products and customer journeys
Translate analytical insights into clear requirements for campaign and customer data teams

Requirements

What you’ll need

Proven experience as a Data Architect, Customer Data Architect, Marketing Analytics Lead, or similar senior role within the banking sector
Banking experience is mandatory
Strong experience in customer analytics, customer segmentation, campaign analytics, or customer value management
Hands-on experience designing and measuring customer campaigns
Strong understanding of banking commercial drivers, customer lifecycle, product relationships, and customer value
Experience working with customer attributes, behavioral data, transactional data, and customer profiles
Strong SQL skills for customer data analysis, segmentation, and campaign targeting
Proven experience owning customer use cases end to end, from business definition through activation and measurement
Experience with use cases such as churn, retention, dormancy, win-back, upsell, cross-sell, product migration, and customer reactivation
Experience building and using customer segments within a real customer data, CRM, or campaign environment
Strong understanding of campaign design, targeting logic, eligibility rules, and customer selection criteria
Demonstrated experience measuring campaign impact using control groups, uplift, and incrementality rather than relying only on reach or engagement metrics
Experience with customer data platforms, CRM platforms, or campaign management platforms
Ability to work closely with engineering and data teams to define attributes, business rules, segment logic, and data requirements
Strong understanding of customer data quality and consistency across multiple banking products and customer touchpoints
Ability to translate business requirements into clear, technically implementable data specifications
Strong commercial judgment when prioritizing customer segments and use cases based on business value and feasibility
Ability to simplify complex customer datasets and reduce segmentation to the audiences that can actually be activated and measured
Strong communication skills with both business stakeholders and technical teams