Manager- Customer Data and Architecture

Job Summary

Math Works has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More:

Math Works nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.

• Define and maintain the target state architecture for customer data systems, ensuring alignment with business objectives and the technology roadmap.
• Through cross-functional collaboration, implement a Customer Data Governance strategy that includes clear data ownership models, an enterprise-wide data catalog, architecture best practices, and data retention policies to ensure compliance, data quality, and risk minimization.
• Ensure adherence to privacy and regulatory requirements (e.g., GDPR, CCPA) through actionable policies and monitoring processes.
• Drive rationalization of customer data platform initiatives to optimize cost, performance, and scalability.
• Evaluate and recommend modern data technologies and tools.
• Communicate complex data concepts to non-technical stakeholders effectively, enabling informed decision-making.
• Participate as a member of the Business Applications Leadership team, promoting best practices and department strategy.
• Lead and mentor the Customer Data Systems team, fostering a culture of collaboration and innovation.
• Manage performance reviews and professional development.
• Manage the project portfolio, resource allocation, budget, and project delivery.

• A bachelor's degree and 7 years of professional work experience (or equivalent experience) is required. 2 years management experience is required.

• 20+ years in data management, architecture, and governance.
• Strong knowledge of data architecture principles, data modeling, and integration patterns.
• Familiarity with modern data platforms (cloud-based solutions, data lakes, data warehouses).
• Excellent people management and communication skills.
• Ability to influence and drive changes across cross-functional teams.
• Experience with Data Catalog tools, Data Governance frameworks, and Privacy compliance.
• Knowledge of microservices frameworks that facilitate scalable and secure customer data access.
• Knowledge of Customer Data Platforms (CDP) and Master Data Management (MDM).