Home › Companies › Datascience › Customer Intelligence Product Manager
Customer Intelligence Product Manager
Datascience · Giza, 00000, Egypt · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Datascience |
| Title | Customer Intelligence Product Manager |
| Normalized title | - |
| Department / team | AI & Data Management |
| Location | Giza |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-20 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Datascience. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Giza. | Open |
| Department jobs | Active postings in AI & Data Management. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Datascience |
| Source | decb295c-4cc5-42ce-8348-04db01d62874 |
| ATS provider | BambooHR |
Description
Customer Intelligence Product Manager (CVM & Real-Time Engagement)
About DataScience Middle East
DataScience Middle East (DSME) is a leading regional provider of Artificial Intelligence, Advanced Analytics, Enterprise Data Management, Governance, Risk, Compliance, and Digital Transformation solutions across the Middle East. We work with government entities, large enterprises, and strategic institutions to deliver high-impact business and technology transformation programs that improve performance, operational efficiency, decision-making, and service excellence.
As part of our continued growth and operational maturity journey, we are seeking a highly capable and detail-oriented Business Process Excellence Lead to drive process governance, process optimization, service improvement, and operational excellence across the organization.
Role Overview
DataScience Middle East is looking for a Customer Intelligence Product Manager that will be responsible for defining, building, and scaling next-generation Customer Value Management (CVM) and Customer Intelligence platforms . This role owns the end-to-end product vision and execution of AI-driven, real-time customer engagement ecosystems , enabling hyper-personalized interactions across all customer touchpoints.
Key Responsibilities
Product Strategy & Vision
Define and own the Customer Intelligence & CVM product roadmap , aligned with enterprise growth, CX, and revenue objectives.
Lead the evolution from batch campaign management to real-time, event-driven decisioning .
Build a vision for hyper-personalized, AI-powered customer engagement at scale , leveraging predictive analytics and behavioral insights.
Position the platform as a central decisioning layer across all marketing, digital, and customer interaction channels.
Customer Intelligence & Data Activation
Design and operationalize unified customer profiles , combining behavioral, transactional, and contextual data.
Enable advanced segmentation, audience management, and dynamic audience activation across channels.
Ensure seamless data-to-decision pipelines , allowing real-time activation without latency or dependency on heavy data movement .
Drive capabilities around:
Customer 360 & identity resolution
Event-based triggers and streaming data utilization
Continuous audience enrichment and refresh
Campaign Management & Journey Orchestration
Lead the design of end-to-end campaign management frameworks supporting:
Multi-channel campaigns (digital, branch, contact center, retail, etc.)
ATL & BTL orchestration
Build and manage intelligent customer journeys :
Multi-step, multi-touchpoint journeys
Real-time and scheduled interactions
A/B/n testing and journey optimization
Enable AI-assisted journey creation and automation , reducing manual effort and accelerating time-to-market .
Real-Time Decisioning & Next Best Action
Own the development of a real-time decisioning engine that determines:
Next Best Action (NBA)
Next Best Offer (NBO)
Channel & timing optimization
Translate business strategies into decision logic, rules, and AI models .
Enable marketer-led decisioning frameworks , allowing business users to deploy strategies without heavy IT dependency .
Ensure decisions are:
Context-aware
Event-driven
Continuously optimized through feedback loops
AI, Personalization & Automation
Embed AI and machine learning into all layers of the product:
Predictive modeling (churn, propensity, CLV)
Personalization engines
Reinforcement learning for optimization
Drive hyper-personalization at scale , delivering tailored experiences across channels.
Leverage AI assistants, copilots, and autonomous agents to:
Automate campaign creation
Recommend strategies
Optimize engagement performance .
Champion self-learning systems that continuously improve outcomes.
Omnichannel Engagement & Communication
Ensure seamless orchestration across all customer touchpoints:
Digital (mobile, web, app)
Outbound (SMS, email, push notifications)
Inbound (call center, chatbot)
Offline (branch, retail, field)
Define and enforce contact policies and communication governance to optimize customer experience and avoid fatigue .
Enable right-time, right-channel delivery for every interaction.
Product Delivery & Execution
Work closely with:
Data Scientists
Data Engineers
Martech teams
Business stakeholders
Translate business requirements into:
Product features
User stories
Technical requirements
Lead agile product development cycles , ensuring fast delivery of incremental value.
Oversee integration with:
Core systems
Digital channels
External ecosystems
Performance, Optimization & Value Realization
Define and track KPIs and success metrics :
Conversion rates
Campaign ROI
Customer engagement metrics
Revenue uplift
Enable closed-loop measurement frameworks :
Feedback-driven optimization
Experimentation (A/B/n testing)
Continuously improve customer journeys and decision models based on insights.
Stakeholder & Business Alignment
Engage with senior stakeholders (Marketing, CX, Digital, Sales).
Act as a trusted advisor on customer intelligence transformation .
Lead workshops to define:
Use cases
Customer strategies
Personalization frameworks
Drive adoption of data-driven decision-making culture .
Required Qualifications
Experience
5+ years in:
Customer Intelligence / CVM
Campaign Management
Martech / AdTech
Customer Experience Platforms
Proven experience in:
Real-time decisioning systems
Omnichannel campaign orchestration
AI-driven personalization platforms
Experience in industries such as:
Banking / Financial Services
Telecom
Retail / E-commerce
Technical & Functional Expertise
Deep understanding of:
Customer Data Platforms (CDP)
Campaign management systems
Decision engines & rule frameworks
Strong knowledge of:
AI/ML in marketing
Event-driven architectures
Customer journey orchestration
Experience working with:
Data models & segmentation
APIs and integrations
Real-time streaming environments
Core Competencies
Strategic thinking & product vision
Strong analytical and data-driven mindset
Ability to translate business needs into scalable products
Leadership and cross-functional collaboration
Strong communication with executive stakeholders
Key Success Indicators
Deployment of a centralized customer intelligence platform
Increase in campaign ROI and conversion rates
Reduction in time-to-market for campaigns
Adoption of real-time, AI-driven decisioning
Measurable improvement in customer experience and engagement
Full job record
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| Board ID | decb295c-4cc5-42ce-8348-04db01d62874 |
| Provider | bamboohr |
| Provider Job Key | 126 |
| Title | Customer Intelligence Product Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Giza, 00000, Egypt |
| Department | AI & Data Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
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| Country | — |
| Region | — |
| City | Giza |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://datascience.bamboohr.com/careers/126 |
| Apply URL | https://datascience.bamboohr.com/careers/126 |
| First Seen At | 2026-05-30 06:07:52Z |
| Last Seen At | 2026-06-21 11:09:41Z |
| Last Checked At | 2026-06-21 11:09:41Z |
| Last Changed At | 2026-05-30 06:07:52Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 00:00:00Z |
| Source Updated At | — |
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"description": "<p><span style=\"font-weight: bold\">Customer Intelligence Product Manager </span><span style=\"font-weight: bold\">(CVM & Real-Time Engagement)</span></p>\n<p><br><span style=\"font-weight: bold\">About DataScience Middle East</span></p>\n<p>DataScience Middle East (DSME) is a leading regional provider of Artificial Intelligence, Advanced Analytics, Enterprise Data Management, Governance, Risk, Compliance, and Digital Transformation solutions across the Middle East. We work with government entities, large enterprises, and strategic institutions to deliver high-impact business and technology transformation programs that improve performance, operational efficiency, decision-making, and service excellence.</p>\n<p>As part of our continued growth and operational maturity journey, we are seeking a highly capable and detail-oriented <span style=\"font-weight: bold\">Business Process Excellence Lead </span>to drive process governance, process optimization, service improvement, and operational excellence across the organization.</p>\n<p><br><span style=\"font-weight: bold\">Role Overview</span></p>\n<p>DataScience Middle East is looking for a Customer Intelligence Product Manager that will be responsible for defining, building, and scaling next-generation <span style=\"font-weight: bold\">Customer Value Management (CVM)</span> and <span style=\"font-weight: bold\">Customer Intelligence platforms</span>. This role owns the end-to-end product vision and execution of <span style=\"font-weight: bold\">AI-driven, real-time customer engagement ecosystems</span>, enabling hyper-personalized interactions across all customer touchpoints.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span><br><span><br></span><span style=\"font-weight: bold\">Product Strategy & Vision</span></p>\n<ul>\n<li>Define and own the <span style=\"font-weight: bold\">Customer Intelligence & CVM product roadmap</span>, aligned with enterprise growth, CX, and revenue objectives.</li>\n<li>Lead the evolution from <span style=\"font-weight: bold\">batch campaign management to real-time, event-driven decisioning</span>.</li>\n<li>Build a vision for <span style=\"font-weight: bold\">hyper-personalized, AI-powered customer engagement at scale</span>, leveraging predictive analytics and behavioral insights.</li>\n<li>Position the platform as a <span style=\"font-weight: bold\">central decisioning layer</span> across all marketing, digital, and customer interaction channels.<br><br><span style=\"font-weight: bold\">Customer Intelligence & Data Activation</span></li>\n<li>Design and operationalize <span style=\"font-weight: bold\">unified customer profiles</span>, combining behavioral, transactional, and contextual data.</li>\n<li>Enable advanced <span style=\"font-weight: bold\">segmentation, audience management, and dynamic audience activation</span> across channels.</li>\n<li>Ensure seamless <span style=\"font-weight: bold\">data-to-decision pipelines</span>, allowing real-time activation without latency or dependency on heavy data movement .</li>\n<li>Drive capabilities around:</li>\n<li>Customer 360 & identity resolution</li>\n<li>Event-based triggers and streaming data utilization</li>\n<li>Continuous audience enrichment and refresh<br><br><br><span style=\"font-weight: bold\">Campaign Management & Journey Orchestration</span></li>\n<li>Lead the design of <span style=\"font-weight: bold\">end-to-end campaign management frameworks</span> supporting:\n<ul>\n<li>Multi-channel campaigns (digital, branch, contact center, retail, etc.)</li>\n<li>ATL & BTL orchestration</li>\n</ul>\n</li>\n<li>Build and manage <span style=\"font-weight: bold\">intelligent customer journeys</span>:\n<ul>\n<li>Multi-step, multi-touchpoint journeys</li>\n<li>Real-time and scheduled interactions</li>\n<li>A/B/n testing and journey optimization</li>\n</ul>\n</li>\n<li>Enable <span style=\"font-weight: bold\">AI-assisted journey creation and automation</span>, reducing manual effort and accelerating time-to-market .<br><br><span style=\"font-weight: bold\">Real-Time Decisioning & Next Best Action</span></li>\n<li>Own the development of a <span style=\"font-weight: bold\">real-time decisioning engine</span> that determines:\n<ul>\n<li>Next Best Action (NBA)</li>\n<li>Next Best Offer (NBO)</li>\n<li>Channel & timing optimization</li>\n</ul>\n</li>\n<li>Translate business strategies into <span style=\"font-weight: bold\">decision logic, rules, and AI models</span>.</li>\n<li>Enable <span style=\"font-weight: bold\">marketer-led decisioning frameworks</span>, allowing business users to deploy strategies without heavy IT dependency .</li>\n<li>Ensure decisions are:\n<ul>\n<li>Context-aware</li>\n<li>Event-driven</li>\n<li>Continuously optimized through feedback loops<br><br><span style=\"font-weight: bold\">AI, Personalization & Automation</span></li>\n</ul>\n</li>\n<li>Embed <span style=\"font-weight: bold\">AI and machine learning</span> into all layers of the product:\n<ul>\n<li>Predictive modeling (churn, propensity, CLV)</li>\n<li>Personalization engines</li>\n<li>Reinforcement learning for optimization</li>\n</ul>\n</li>\n<li>Drive <span style=\"font-weight: bold\">hyper-personalization at scale</span>, delivering tailored experiences across channels.</li>\n<li>Leverage <span style=\"font-weight: bold\">AI assistants, copilots, and autonomous agents</span> to:\n<ul>\n<li>Automate campaign creation</li>\n<li>Recommend strategies</li>\n<li>Optimize engagement performance .</li>\n</ul>\n</li>\n<li>Champion <span style=\"font-weight: bold\">self-learning systems</span> that continuously improve outcomes.<br><br><span style=\"font-weight: bold\">Omnichannel Engagement & Communication</span></li>\n<li>Ensure seamless orchestration across all customer touchpoints:\n<ul>\n<li>Digital (mobile, web, app)</li>\n<li>Outbound (SMS, email, push notifications)</li>\n<li>Inbound (call center, chatbot)</li>\n<li>Offline (branch, retail, field)</li>\n</ul>\n</li>\n<li>Define and enforce <span style=\"font-weight: bold\">contact policies and communication governance</span> to optimize customer experience and avoid fatigue .</li>\n<li>Enable <span style=\"font-weight: bold\">right-time, right-channel delivery</span> for every interaction.<br><br><span style=\"font-weight: bold\">Product Delivery & Execution</span></li>\n<li>Work closely with:\n<ul>\n<li>Data Scientists</li>\n<li>Data Engineers</li>\n<li>Martech teams</li>\n<li>Business stakeholders</li>\n</ul>\n</li>\n<li>Translate business requirements into:\n<ul>\n<li>Product features</li>\n<li>User stories</li>\n<li>Technical requirements</li>\n</ul>\n</li>\n<li>Lead <span style=\"font-weight: bold\">agile product development cycles</span>, ensuring fast delivery of incremental value.</li>\n<li>Oversee integration with:\n<ul>\n<li>Core systems</li>\n<li>Digital channels</li>\n<li>External ecosystems<br><br><span style=\"font-weight: bold\">Performance, Optimization & Value Realization</span></li>\n</ul>\n</li>\n<li>Define and track <span style=\"font-weight: bold\">KPIs and success metrics</span>:\n<ul>\n<li>Conversion rates</li>\n<li>Campaign ROI</li>\n<li>Customer engagement metrics</li>\n<li>Revenue uplift</li>\n</ul>\n</li>\n<li>Enable <span style=\"font-weight: bold\">closed-loop measurement frameworks</span>:\n<ul>\n<li>Feedback-driven optimization</li>\n<li>Experimentation (A/B/n testing)</li>\n</ul>\n</li>\n<li>Continuously improve <span style=\"font-weight: bold\">customer journeys and decision models</span> based on insights.<br><br><span style=\"font-weight: bold\">Stakeholder & Business Alignment</span></li>\n<li>Engage with senior stakeholders (Marketing, CX, Digital, Sales).</li>\n<li>Act as a <span style=\"font-weight: bold\">trusted advisor on customer intelligence transformation</span>.</li>\n<li>Lead workshops to define:\n<ul>\n<li>Use cases</li>\n<li>Customer strategies</li>\n<li>Personalization frameworks</li>\n</ul>\n</li>\n<li>Drive adoption of <span style=\"font-weight: bold\">data-driven decision-making culture</span>.<br><br></li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Required Qualifications</span></p>\n<p><span style=\"font-weight: bold\">Experience</span></p>\n<ul>\n<li>5+ years in:\n<ul>\n<li>Customer Intelligence / CVM</li>\n<li>Campaign Management</li>\n<li>Martech / AdTech</li>\n<li>Customer Experience Platforms</li>\n</ul>\n</li>\n<li>Proven experience in:\n<ul>\n<li>Real-time decisioning systems</li>\n<li>Omnichannel campaign orchestration</li>\n<li>AI-driven personalization platforms</li>\n</ul>\n</li>\n<li>Experience in industries such as:\n<ul>\n<li>Banking / Financial Services</li>\n<li>Telecom</li>\n<li>Retail / E-commerce</li>\n</ul>\n</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Technical & Functional Expertise</span></p>\n<ul>\n<li>Deep understanding of:\n<ul>\n<li>Customer Data Platforms (CDP)</li>\n<li>Campaign management systems</li>\n<li>Decision engines & rule frameworks</li>\n</ul>\n</li>\n<li>Strong knowledge of:\n<ul>\n<li>AI/ML in marketing</li>\n<li>Event-driven architectures</li>\n<li>Customer journey orchestration</li>\n</ul>\n</li>\n<li>Experience working with:\n<ul>\n<li>Data models & segmentation</li>\n<li>APIs and integrations</li>\n<li>Real-time streaming environments</li>\n</ul>\n</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Core Competencies</span></p>\n<ul>\n<li>Strategic thinking & product vision</li>\n<li>Strong analytical and data-driven mindset</li>\n<li>Ability to translate business needs into scalable products</li>\n<li>Leadership and cross-functional collaboration</li>\n<li>Strong communication with executive stakeholders</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Key Success Indicators</span></p>\n<ul>\n<li>Deployment of a <span style=\"font-weight: bold\">centralized customer intelligence platform</span></li>\n<li>Increase in <span style=\"font-weight: bold\">campaign ROI and conversion rates</span></li>\n<li>Reduction in <span style=\"font-weight: bold\">time-to-market for campaigns</span></li>\n<li>Adoption of <span style=\"font-weight: bold\">real-time, AI-driven decisioning</span></li>\n<li>Measurable improvement in <span style=\"font-weight: bold\">customer experience and engagement</span></li>\n</ul>\n<p> </p>",
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