Safe-Guard Products International

Actuary

• Assist in financial analysis, pricing and risk assessment to estimate outcomes.
• Provide actuarial services to develop best-practice actuarial models and promote implementation.
• Maintain accountability for the development of the organization's rate structure, maintenance of adequate reserves, and development of new products.
• Provide data/analytic expertise to support actuarial services including financial reporting, trend analysis, utilization studies, rate development, and claims liability estimates.
• Navigate IT and internal data structures to create processes to bolster operational efficiencies and consistencies.
• Design, generate, interpret, and present periodic and ad hoc reporting to management and clients.
• Utilize SQL, BI Data Cubes, and Excel to analyze company-wide data in order to detect trends in sales, claims, and agent/customer behavior as well as internal operational trends and suggest data cleansing rules.
• Accurately and quickly fulfill reporting/information requests from Executives, Sales, Marketing, Accounting, Claims and clients as needed.

Senior Actuarial Analyst

IT Support

• Define and maintain the enterprise architecture vision, principles, and roadmap aligned with business priorities and long-term strategy.
• Establish architectural guardrails that guide teams toward consistent, scalable solutions improving delivery efficiency and speed.
• Partner with technology leaders on evaluating platforms, tools, and technologies across the enterprise to ensure architectural consistency.
• Provide clear, outcome-oriented guidance on architectural trade-offs and investment decisions.
• Lead modernization efforts focused on simplifying systems, improving integration, and reducing operational friction.
• Partner with Solutions Design, Engineering, Security, and Business leaders to translate strategic objectives into practical, scalable technology solutions.
• Identify systems, processes, and patterns that do not scale and guide efforts to refactor, rebuild, or retire.
• Provide architectural leadership for strategic initiatives, including Claims 2.0 and other next-generation SaaS platforms.
• Responsible for ensuring the company has a highly effective, scalable, and supportable Data Architecture, across Snowflake, AWS, PostgreSQL, SQL Server and MongoDB.
• Partner with Cloud leadership teams to help define and evolve AWS and Azure strategies, cost optimization (FinOps), and overall best practices.
• Promote cloud-native and platform-based approaches that support long-term scalability and operational efficiency.
• Establish and guide an AI CoE (Center of Excellence) focused on practical standards, governance, and responsible adoption.
• Promote AI-first thinking where it meaningfully enhances products, productivity, and our capacity to innovate at scale.
• Evaluate emerging AI technologies to determine where they deliver real business value.
• Ensure AI capabilities are integrated thoughtfully, securely, and sustainably across the enterprise.
• Provide direct leadership to enterprise and data architecture teams and indirect leadership across a federated technology organization.
• Operate as a trusted advisor to executive leadership and senior business partners.
• Influence outcomes through credibility, clarity, and partnership rather than formal authority alone.
• Balance strategic vision with hands-on engagement when necessary to unblock progress or guide critical decisions.

Vice President – Enterprise Architecture

Data Scientist

• Collaborate with IT, Claims, Legal, and Sales teams to identify ways in which analytics can be leveraged to increase profitability
• Develop, deploy, and monitor enterprise-wide AI and machine learning solutions to support both claims and sales analytics initiatives
• Provide guidance on AI and machine learning best practices
• Provide data insights to drive business outcomes, business decisions, and strategy
• Lead a small team of Data Engineers and Data Analysts

Data Engineer

• Serve as the technical expert for creating Safe-Guard’s analytical data infrastructure.
• Develop extensive ETL processes to take data from across different systems and bring them into centralized data models.
• Develop and implement automated data quality control processes.
• The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Analyst

• Perform VSC claim audits to ensure quality adjudication.
• Identify areas where Safe-Guard can improve adjudication practices.
• Provide feedback to claims adjustors and supervisors.
• Monitor performance of loss mitigation initiatives.
• Assist Director of Claims Analytics and Loss Mitigation in investigating suspicious dealership behavior.
• Participates in all training as required to perform the duties of the role.
• Takes initiative to resolve an issue rather than allow an issue to continue.

Loss Mitigation Analyst – Vehicle Service Contracts, Automotive

QA Engineer

• Act as the primary QA point of contact for assigned systems (Portals, APIs, Databases, CMS, Rating & Enrollment).
• Lead daily QA activities for multiple concurrent projects, ensuring timely and high-quality delivery.
• Mentor and guide QA Analysts in test design, execution, and defect management.
• Coordinate with the QA Manager to prioritize workloads, align with sprint goals, and ensure coverage of all functional and integration areas.
• Represent QA in sprint ceremonies, grooming sessions, and release readiness reviews.
• Develop detailed test strategies and test plans for each release, covering both functional and technical aspects.
• Perform thorough end-to-end testing across systems, including front-end, API, and database validation.
• Oversee regression, integration, and UAT cycles, ensuring test completeness before sign-off.
• Ensure proper defect triage, root-cause documentation, and cross-team communication on critical issues.
• Maintain traceability between requirements, test cases, and defects to ensure auditability.
• Validate API behavior, payloads, and integrations between systems using tools such as Postman or Swagger.
• Execute complex SQL queries for backend data validation and verification of business rules.
• Review and validate CMS configurations, content workflows, and database linkages.
• Identify dependencies or data inconsistencies across rating and enrollment portals and proactively work with development teams to resolve issues.
• Support environment validation and test data preparation, ensuring consistent and stable test runs.
• Assist the QA Manager in enhancing QA standards, templates, and documentation practices.
• Contribute to improving defect reporting and classification processes for better analytics and traceability.
• Partner with the Automation and DevOps teams to identify areas suitable for automation and integration into CI/CD pipelines.
• Promote continuous improvement by analyzing recurring defects and recommending preventive measures.
• Work closely with Developers, Product Owners, and Business Analysts to clarify requirements and acceptance criteria.
• Escalate risks or blockers early and provide mitigation plans for QA-related delays.
• Ensure test results and release sign-offs are properly documented and communicated to stakeholders.

QA Lead

Software Engineer

• Lead a distributed team of SQL developers and Rate System Analysts, including overseas team members, ensuring alignment across time zones and cultures.
• Oversee the design, development, and maintenance of SQL databases, stored procedures, views, and functions to support business applications and analytics.
• Manage and maintain financial rate tables, ensuring accuracy, timeliness, and business requirements.
• Promote the use of AI tools to enhance data quality, anomaly detection, and performance optimization.
• Collaborate with Product and Account Management teams to align rate structures with strategic goals.
• Drive continuous improvement in database performance, scalability, and reliability.
• Analyze existing data architecture to identify technical debt and recommend modernization strategies.
• Stay current with emerging data technologies, tools, and best practices, and recommend adoption where appropriate.
• Coach, mentor, and collaborate with technical subject matter experts and business stakeholders to deliver robust data solutions.
• Create and maintain detailed technical documentation, including data models, architecture diagrams, and integration workflows.
• Ensure data governance, security, and compliance across all database systems and rate platforms.