This role represents a step-change in how GenScript leverages customer data - from reporting and governance to activation, growth, and customer impact. The leader will play a pivotal role in shaping our next chapter of customer-centric, data-powered marketing and commercialization.

Role Summary

The Customer Data Management is a mission-critical team responsible for building, connecting, and activating GenScript’s first-party customer data to drive measurable business growth, customer engagement, and long-term loyalty.

This role sits at the intersection of Marketing, IT, and Commercial teams, ensuring customer data is not only governed and compliant, but actionable, scalable, and directly linked to revenue outcomes across the full customer journey - from awareness and acquisition to conversion, retention, and loyalty.

This leader will transform customer data into a strategic asset and competitive advantage, powering personalization, precision marketing, e-commerce performance, and lifecycle value.

Key Responsibilities:

1. Customer Data Strategy & Activation

• Own and evolve GenScript’s first-party customer data strategy, enabling aunified, actionable view of customers across channels, regions, and platforms.

• Lead ONE-ID / identity resolution and customer 360 initiatives across CDP,CRM, marketing automation, and commerce ecosystems.

• Translate customer data into real-time activation, enabling personalization,segmentation, lead management, and lifecycle orchestration.

2. Growth, Commercialization & Business Impact

• Partner with Product, Digital Engagement, M&C, ICC and Sales to embed datainto go-to-market strategy, campaign design, and customer journeys.

• Drive data-powered demand generation, conversion optimization, e-commercegrowth, and loyalty programs.

• Define and operationalize KPI-driven frameworks that connect data initiatives torevenue, pipeline, and customer lifetime value.

3. Data Governance, Quality & Compliance

• Establish enterprise-wide standards for customer data governance, quality,tagging, and lead flow.

• Champion privacy, compliance, and risk management (GDPR/CCPA), ensuringtrust, transparency, and 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, and commerce platforms.

• Partner closely with IT to ensure data architecture supports both currentexecution and future scalability.

• Guide agency and vendor partners to deliver against business and activationoutcomes—not just technical milestones.

5. Team & Leadership

• Build and lead a high-performing customer data and analytics team, fostering aculture of accountability, experimentation, and impact.

• Act as an internal evangelist for data-driven decision-making, elevating dataliteracy across teams.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Information Management,Marketing Analytics, or related field.

• 8+ years of experience in customer data, analytics, marketing technology, orgrowth intelligence, including leadership roles.

• Proven experience connecting data strategy to business and revenue outcomes.

• Deep understanding of CDP, CRM, identity resolution, segmentation, andmarketing automation ecosystems.

• Strong executive communication and stakeholder-management skills.

Success Metrics (12–18 Months)

1. Customer Data Foundation

• ONE-ID implemented and actively used across commercial teams

• ≥90% improvement in customer data completeness and quality across prioritysystems

• Governance framework adopted enterprise-wide without slowing execution

2. Activation & Growth Impact

• Measurable lift in conversion rates, lead quality, and campaign performance

• Personalization live across key digital touchpoints (web, email, e-commerce)

• Clear attribution of data initiatives to pipeline, revenue, or customer lifetimevalue

3. Commercial & Lifecycle Outcomes

• Data-driven segmentation powering demand gen, e-commerce, and loyalty usecases

• Reduced cost per acquisition and increased engagement across prioritysegments

• Scalable lifecycle journeys from acquisition to retention to loyalty in place4. Organizational Impact

• Strong cross-functional adoption of data-driven decision-making