Head of Data Management

Job Description - VP, IT Data & Analytics, Governance (2400005J)

Job Description

VP, IT Data & Analytics, Governance - (2400005J)

Department: IT

Job Title:

VP, IT Data & Analytics, Governance

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.

VP, Data Management & Governance mission is to establish data governance framework, drive data management practices across the organization that align with Allied World’s strategic objectives.

The ideal candidate is a strategic thinker and 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 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)

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

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. Align 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.
• 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.
• Collaboration and education:
  Collaborate with cross‑functional teams, define data governance roles and responsibilities, promote a culture of data stewardship. Provide training and guidance to employees on data governance principles. Raise awareness of data management best practices.
• Governance oversight and reporting:
  Establish mechanisms for governance oversight, conduct regular reviews and audits. Monitor compliance and assess effectiveness of controls. Prepare and present data governance reports, dashboards, and metrics to senior leadership. Oversee implementation of data governance tools and technologies.

Well informed stakeholders & users – “Who”

• Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder to provide transparency.
• Influence and motivate the business, data, and product leads to build a culture of effective data management.
• Partner with Information Security, Enterprise Architecture and Platform Engineering teams on innovation and key technology initiatives to ensure data governance integration.

• Accountability:
  Taking personal accountability to deliver commitments.
• Transparency:
  Provide visibility and communicate regularly on progress.
• Cost effective:
  Seek cost‑effective solutions and partners.
• Culture:
  Nurture an environment where team can…