Vice President, Data Governance

Vice President, Data Governance Job Locations US-OH-Cleveland Requisition ID Category Operations Position Type Regular Full-Time Overview The VP Data Governance will be responsible for developing, implementing, and managing data and AI governance frameworks across the organization. The role will focus on ensuring data quality, integrity, and compliance with regulations and internal policies, as well as promoting ethical AI usage within AmTrust processes and decision-making systems. You will work closely with stakeholders across the different business units and departments, including Legal, IT, risk management, audit, compliance, pricing, underwriting, and claims, to integrate governance policies that align with AmTrust data & AI strategy. Prior experience in Data governance leadership roles within financial institutions or insurance is required, along with a strong process-oriented approach to managing and governing large-scale data environments and AI initiatives. Responsibilities Data and AI Governance Framework Development: Design, develop, and maintain a comprehensive data and AI governance framework that aligns with the company's overall business strategy. Establish policies, standards, and guidelines for data management and AI usage to ensure compliance with industry regulations (e.g., GDPR, CCPA, NAIC). Implement governance mechanisms for AI & ML models to ensure they are ethical, transparent, fair, and free from bias. Compliance and Risk Management: Ensure the company's data handling and AI practices comply with relevant laws and regulations, including data privacy and security, governing insurance and financial institutions. Partner with audit, compliance, legal, and risk management teams to conduct independent assessments, track regulatory changes, and implement appropriate governance controls. Data Quality and Integrity: Establish and enforce data quality standards across all data sources used within the organization. Monitor, assess, and enhance the quality, accuracy, and consistency of data across departments (claims, underwriting, finance, etc.). Drive initiatives for data cleansing, validaation, and lifecycle management to improve operational efficiencies. AI Governance and Ethics: Collaborate with data science, legal, compliance and IT teams to ensure AI models/systems are governed effectively, adhering to established ethical frameworks. Implement model validation, testing, and monitoring processes to reduce biases and ensure accurate and fair decision-making. Evaluate AI solutions & 3RD party Data and provide recommendations on their governance requirements based on their impact on business operations. Stakeholder Engagement and Leadership: Lead cross-functional working groups to define data and AI governance objectives, policies, and initiatives. Provide guidance and training to business units on the importance of data governance and the ethical use of AI in decision-making processes. Act as a subject matter expert and governance evangelist, promoting the adoption of best practices in data management, AI governance, and process improvement across the enterprise. Data Stewardship and Ownership: Define roles and responsibilities for data stewards across the organization, ensuring accountability for data ownership and stewardship. Orchestrate and monitor the creation and maintenance of a data catalog, glossary, and lineage tracking to improve transparency and traceability of data assets. Technology and Tools: Identify and recommend governance technology solutions for data cataloging, AI model monitoring, and data quality management. Work with IT and data architecture teams to ensure the technology landscape supports governance objectives, including AI model lifecycle management tools. Qualifications Education: Bachelor's degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. A master's degree is preferred. Experience: Minimum of 7-10 years of experience in data governance, data management within the insurance or financial services industry. Strong experience with regulatory compliance in financial institutions (insurance-specific experience is a plus). Proven experience implementing and managing data governance frameworks, processes, and tools in large, complex organizations. Experience working with AI technologies and governance of AI models in operational environments is an advantage. Skills and Competencies: In-depth knowledge of data governance frameworks, methodologies, and best practices. Familiarity with AI ethics, machine learning governance, and model risk management. Strong understanding of insurance data types (e.g., claims, policy, underwriting) and financial services regulatory requirements. Excellent communication and leadership skills, with the ability to motivate and collaborate across departments and different levels of the organization. Strong analytical and problem-solving skills with a process and detailed oriented mindset. Familiarity with data governance tools , and data quality software. Data governance related What We Offer AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off. AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities. AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future. Connect With Us! Not ready to apply? Connect with us for general consideration.

Created: 2024-11-05