Strategic Data Architect

We are seeking a skilled Strategic Data Architect who will play a critical role in the organization by overseeing the development and implementation of data architecture strategies that align with the company's business objectives. This executive position requires a visionary leader who can manage complex data environments, drive innovation, and ensure the integrity, scalability, and efficiency of data systems, while also collaborating with stakeholders and managing data governance policies.

The ideal candidate will have extensive experience in data management within a SaaS or cloud-based environment, particularly focusing on structured and unstructured data, related tools and technology, data integration, storage, quality, usability and data lifecycle management.

Key Responsibilities:

• Design scalable and efficient data architectures that enable companywide data product needs across multiple business units and company group level functions, including logical and physical data models, storage solutions, and data integration processes.
  

• Develop data management frameworks and standards to ensure data integrity, quality, and security.
  

• Works closely with Data Management Officer, Data Governance Director, Data engineers, VPs of Analytics and Data Products, BU/Group Product leadership, and others to understand the business problems, desired outcomes using data strategy and translate these requirements into data product solutions.
  

• Create and maintain inventory and designs of current state “data capabilities “supporting companywide.
  

• Create an integrated view of end state data architecture and align on target-state data product capabilities and corresponding architectural designs that ensures the strategic alignment of the business unit and company group roadmaps.
  

• Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications.
  

• Act as a liaison between Data Management and business units/groups to ensure alignment of data initiatives with business objectives.
  

• Monitor and maintain data systems to ensure optimal performance and reliability.
  

• Develop and enforce data governance policies and procedures, working with legal, compliance and Information Security.
  

• Stay up to date with the latest industry trends and technologies in data architecture and management.
  

• Identify opportunities for continuous improvement and innovation within the existing data infrastructure.
  

• Promote best practices in data architecture and data management across the organization.
  

• Implement data security measures to protect sensitive information and ensure adequate permission controls across the data products companywide.
  

Qualifications:

• Education:
  

• Bachelor’s degree in Information Technology, Data Science, Computer Science, or a related field. A master’s degree or relevant certifications (e.g., CDMP, CIMP, etc.) are highly preferred.
  

• Experience:
  

• Minimum of 8 years of experience in data management, data governance, or related roles, with a focus on SaaS or cloud-based platforms.
  

• Extensive experience in Data Architecture, Cloud Solutions, emerging technologies, Big Data, Data Modeling, Data Warehousing, and Business Intelligence.
  

• Proven experience with design and implementation of data architectures that define and deliver data as a product as well as support internal business needs.
  

• Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
  

• Experience with Scaled Agile or similar delivery methodologies.
  

• Skills:
  

• Strong understanding of data governance, data management principles, and industry standards (e.g., ISO 27001, SOC 2).
  

• Excellent knowledge with data management tools and platforms, including cloud-based solutions (e.g., AWS, Redshift, Snowflake, Azure, Google Cloud, MDM & ETL tools).
  

• Proficiency with data security and privacy regulations (GDPR, CCPA, etc.).
  

• Detail-oriented with strong analytical, problem-solving, and organizational skills to translate complex data challenges into actionable solutions.
  

• Experience with data modeling, data flow design, and system architecture.
  

• Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams.
  

• Preferred:
  

• Familiarity with project management tools and methodologies.
  

• Experience with data analytics or business intelligence tools.
  

• Familiarity with VDR-specific security protocols and data protection requirements