Technical Architect Data Engineer- GCP

The Enterprise Transformation Architect specializing in Customer Data will lead the strategic transformation of customer data platforms (CDPs) and unified communications capabilities across both digital and non-digital organizations. This role focuses on driving hyper-personalization and data-driven initiatives to enhance customer engagement and operational efficiency. The ideal candidate will possess deep expertise in data architecture, customer data management, and the integration of advanced technologies to support business objectives.

Roles and Responsibilities:

• Strategic Leadership:
• Develop and execute a comprehensive Data and Platforms transformation strategy for customer data platforms and unified communications.
• Align transformation initiatives with organizational goals and customer experience objectives.
• Architectural Design:
• Design and oversee the implementation of scalable and robust data architectures that support hyper-personalization and advanced analytics.
• Ensure seamless integration of customer data across various platforms and touchpoints.
• Data Management:
• Lead the development and management of customer data governance frameworks to ensure data quality, privacy, and compliance.
• Implement best practices for data collection, storage, and utilization to maximize the value of customer data.
• Collaboration and Stakeholder Engagement:
• Work closely with cross-functional teams, including marketing, IT, data analytics, and customer service, to gather requirements and drive project success.
• Engage with key stakeholders to communicate progress, gather feedback, and ensure alignment with business needs.
• Innovation and Technology Integration:
• Identify and integrate emerging technologies and tools that enhance customer data management and personalization capabilities.
• Drive the adoption of AI, machine learning, and other advanced analytics techniques to deliver personalized customer experiences.
• Project Management:
• Oversee the planning, execution, and delivery of transformation projects, ensuring they are completed on time and within budget.
• Manage project risks and issues, and implement mitigation strategies as needed.
• Performance Monitoring and Continuous Improvement:
• Establish metrics and KPIs to measure the success of transformation initiatives and their impact on customer engagement and business performance.
• Foster a culture of continuous improvement by regularly reviewing processes and implementing enhancements.
• Training and Support:
• Provide training and support to teams and end-users to ensure effective adoption and utilization of new systems and tools.
• Develop documentation and resources to support ongoing education and knowledge sharing.

Qualifications:

• Extensive experience in Customer data architecture, customer data platforms, and digital transformation.
• Proven track record of leading large-scale transformation projects in complex, multi-channel environments.
• Strong understanding of data-centric design principles and business objectives.
• Excellent leadership, communication, and stakeholder management skills.
• Proficiency in AI, machine learning, and advanced analytics tools and techniques.
• Familiarity with data governance, privacy regulations, and compliance standards.