This role represents a step-change in how GenScript leverages customer data - from reporting governance to activation, growth, customer impact. The leader will play a pivotal role in shaping our next chapter of customer-centric, data-powered marketing commercialization.
Role Summary
The Customer Data Management is a mission-critical team responsible fbuilding, connecting, activating GenScript’s first-party customer data to drive measurable business growth, customer engagement, long-term loyalty.
This role sits at the intersection of Marketing, IT, Commercial teams, ensuring customer data is not only governed compliant, but actionable, scalable, directly linked to revenue outcomes across the full customer journey - from awareness acquisition to conversion, retention, loyalty.
This leader will transform customer data a strategic asset competitive advantage, powering personalization, precision marketing, e-commerce performance, lifecycle value.
Key Responsibilities:
1. Customer Data Strategy & Activation
• Own evolve GenScript’s first-party customer data strategy, enabling aunified, actionable view of customers across channels, regions, platforms.
• Lead ONE-ID / identity resolution customer 360 initiatives across CDP,CRM, marketing automation, commerce ecosystems.
• Translate customer data real-time activation, enabling personalization,segmentation, lead management, lifecyclechestration.
2. Growth, Commercialization & Business Impact
• Partner with Product, Digital Engagement, M&C, ICC Sales to embed datago-to-market strategy, campaign design, customer journeys.
• Drive data-powered demgeneration, conversion optimization, e-commercegrowth, loyalty programs.
• Define operationalize KPI-driven frameworks that connect data initiatives torevenue, pipeline, customer lifetime value.
3. Data Governance, Quality & Compliance
• Establish enterprise-wide standards fcustomer data governance, quality,tagging, lead flow.
• Champion privacy, compliance, risk management (GDPR/CCPA), ensuringtrust, transparency, scalability.
• Balance governance with speed—ensuring data enables growth rather thanconstrains it.
4. Technology & Ecosystem Leadership
• Lead cross-system data integration across CDP, CRM, CMS, marketingautomation, analytics, commerce platforms.
• Partner closely with IT to ensure data architecture supports both currentexecution future scalability.
• Guide agency vendpartners to deliver against business activationoutcomes—not just technical milestones.
5. Team & Leadership
• Build lead a high-performing customer data analytics team, fostering aculture of accountability, experimentation, impact.
• Act as an internal evangelist fdata-driven decision-making, elevating dataliteracy across teams.
Qualifications:
• Bachelor’s Master’s degree in Data Science, Information Management,Marketing Analytics, related field.
• 8+ years of experience in customer data, analytics, marketing technology,growth intelligence, including leadership roles.
• Proven experience connecting data strategy to business revenue outcomes.
• Deep understanding of CDP, CRM, identity resolution, segmentation, andmarketing automation ecosystems.
• Strong executive communication stakeholder-management skills.
Success Metrics (12–18 Months)
1. Customer Data Foundation
• ONE-ID implemented actively used across commercial teams
• ≥90% improvement in customer data completeness quality across prioritysystems
• Governance framework adopted enterprise-wide without slowing execution
2. Activation & Growth Impact
• Measurable lift in conversion rates, lead quality, campaign performance
• Personalization live across key digital touchpoints (web, email, e-commerce)
• Clear attribution of data initiatives to pipeline, revenue, customer lifetimevalue
3. Commercial & Lifecycle Outcomes
• Data-driven segmentation powering demgen, e-commerce, loyalty usecases
• Reduced cost per acquisition increased engagement across prioritysegments
• Scalable lifecycle journeys from acquisition to retention to loyalty in place4.ganizational Impact
• Strong cross-functional adoption of data-driven decision-making
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