MathWorks
Manager- Customer Data and Architecture
Edtech.com's Summary
MathWorks is hiring a Manager for Customer Data and Architecture to lead the Customer Data Systems Team. The role involves defining and implementing an enterprise-wide customer data architecture vision, driving data governance, ensuring privacy compliance, and optimizing customer data platforms to support business growth while managing cross-functional collaboration and team leadership.
Highlights
- Lead the definition and maintenance of target state architecture for customer data systems aligned with business goals.
- Implement a Customer Data Governance strategy including data ownership, data catalog, best practices, and retention policies.
- Ensure compliance with privacy regulations such as GDPR and CCPA through policies and monitoring.
- Optimize customer data platforms for cost, performance, and scalability and recommend modern data technologies.
- Communicate complex data concepts effectively to non-technical stakeholders and participate in leadership team strategy.
- Lead, mentor, and manage the Customer Data Systems team including performance reviews and professional development.
- Manage project portfolio, resource allocation, budget, and delivery.
- Require a bachelor’s degree, 7 years of professional experience, and at least 2 years in management.
- 20+ years experience in data management, architecture, and governance with knowledge of data modeling, integration, and cloud data platforms.
- Expertise in Data Catalog tools, Data Governance frameworks, Privacy compliance, microservices frameworks, Customer Data Platforms (CDP), and Master Data Management (MDM).
Manager- Customer Data and Architecture Full Description
Manager- Customer Data and Architecture
- Team: Business Applications and Tools
- Location: US-MA-Natick
- Salary Range: $135,600 - $230,500
Job Summary
We are seeking an experienced manager for Customer Data and Architecture to lead our Customer Data Systems Team. This individual will lead strategic initiatives to define and implement the enterprise-wide customer data architecture vision. This role is accountable for driving data governance, ensuring compliance with privacy regulations, and optimizing customer data platforms to support business growth. The position requires strong leadership, deep technical expertise, and the ability to influence cross-functional stakeholders at all levels.
Responsibilities
Role Responsibilities
Define and maintain the target state architecture for customer data systems, ensuring alignment with business objectives and the technology roadmap.
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.
Minimum Qualifications
- A bachelor's degree and 7 years of professional work experience (or equivalent experience) is required. 2 years management experience is required.
Additional Qualifications
- 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).
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