VP Data Management, IT Data & Analytics

Department: IT
Job Title: VP Data Management, IT Data & Analytics
Location: New Jersey or New York

Take the next step in your career with us. Allied World is an ideal place for talented professionals who are driven by a belief in the value of collaboration and the power of knowledge. We believe that when our great people work together and support one another, our clients receive the best solutions. We embrace unique perspectives and empower each person to grow through professional development, career training, and mentoring programs.

Our people are our most important asset, and we are very proud of the quality of our team members.

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 great data management and governance expert with the ability to 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 our critical data assets
• Establish strong data management practices (catalog, quality, lineage, protection, and master data management)
• Ensure that delivered data products follow data management standards

The VP, IT Data & Analytics will play a critical part in Allied World’s Data & Analytics Team lead by the Chief Data Officer.

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

• Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder 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 make sure data governance and management aspects are effectively managed.

• Accountability:
  Taking personal accountability to get this done as per our commitments.
• Transparency:
  Clearly provide visibility and communicate regularly on how we are progressing on any kind of deliverables.
• Cost effective:
  Always look for opportunities to be cost‑effective for the product organization by thoughtfully leveraging solutions, technology partners, on‑site and off‑shore expertise.
• Culture:
  Nurture an environment where the team can thrive in creativity to incubate new innovative technology/solutions that have practical and positive impact on the business.