VP Data Management, IT Data & Analytics
Listed on 2026-02-08
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IT/Tech
Data Analyst, Data Security, Data Engineer, Data Science Manager
Overview
Job Title: VP Data Management, IT Data & Analytics
Location: New Jersey or New York
Department: IT
Job Code: 2400005J
Take the next step in your career with Allied World. Allied World is an ideal place for talented professionals who are driven by the value of collaboration and knowledge. We empower each person to grow through professional development, career training, and mentoring programs. Our people are our most important asset, and we are proud of our team.
Position Summary:
The VP, Data Management's mission is to establish a data governance framework and drive data management practices across the organization that align with Allied World’s strategic objectives. The ideal candidate is a strategic thinker and a results-driven data management and governance expert who can bring together business leaders, technology leaders, and partners to:
- Identify critical data assets and their usage
- Create and activate a data governance framework
- Establish policies and procedures to validate and protect critical data assets
- Establish strong data management practices (catalog, quality, lineage, protection, and master data management)
- Ensure delivered data products follow data management standards
Team & Role Context: The VP, IT Data & Analytics will play a critical role in Allied World’s Data & Analytics Team led by the Chief Data Officer.
Key Responsibilities- Delivery Data Solutions – “What and Why”
- Develop and implement data governance framework: design, document, and implement data governance policies, standards, and procedures in alignment with company objectives and regulatory requirements
- Develop and maintain a comprehensive data governance framework and strategy
- Policy and Process Development: Define data classification schemes, data ownership models, and data lifecycle management practices. Ensure alignment with regulatory requirements, industry standards, and best practices.
- Establish data quality standards, metrics, and monitoring mechanisms. Collaborate with data owners and stewards to identify data quality issues and root causes. Implement data quality improvement initiatives and corrective actions as needed.
- Data Security and Privacy: Develop and enforce data security and privacy policies, controls, and procedures. Ensure compliance with data protection regulations (e.g., HIPAA, GDPR) and industry standards. Monitor access controls, data encryption, and other security measures to mitigate risks.
- Metadata Management and Documentation: Implement metadata management processes to capture and maintain data lineage, definitions, and dependencies. Establish data dictionaries, glossaries, and cataloging tools to facilitate metadata discovery and documentation.
- Collaboration and
Education:
Collaborate with cross-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability. Provide training and guidance to employees on data governance principles, policies, and procedures. Raise awareness of data management best practices and their importance to business operations. - Governance Oversight and Reporting: Establish mechanisms for governance oversight, including regular reviews and audits. Monitor compliance with data governance policies and assess the effectiveness of controls. Prepare and present data governance reports, dashboards, and metrics to senior leadership. Oversee the implementation of data governance tools and technologies to support data lineage, metadata management, and data quality monitoring.
Well Informed Stakeholders & Users – “Who”
- Lead monthly “Data Ownership & Governance Forum” with senior stakeholders and provide transparency on all data and analytics initiatives
- Influence and motivate the business, data, and product leads to create a culture of effective data management
- Partner with Information Security, Enterprise Architecture, and Platform Engineering teams on all innovation and key technology initiatives to ensure data governance and management aspects are effectively managed
Accountability
:
Taking personal accountability to get this done as per our commitments
Transparency
:
Clearly…
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