• Develop and maintain enterprise data governance strategies, frameworks, and policies aligned with business priorities, risk posture, and compliance obligations • Establish and operate governance structures that support domain ownership, data product stewardship, and data mesh enablement • Draft, publish, and maintain standards covering data quality, metadata management, privacy, security, access controls, classification, and retention • Partner with Legal, Privacy, Information Security, and Compliance teams to ensure governance policies align with regulatory requirements such as GDPR and CCPA • Define data quality metrics, thresholds, and monitoring approaches, driving accountability through transparent scorecards and remediation processes • Lead governance operationalization by embedding controls into delivery workflows and data product lifecycle processes • Partner with platform and engineering teams to implement governance capabilities into core data platforms, including cataloging, lineage tracking, and access governance • Build and lead a community of practice for data stewards and domain data owners, including training and ongoing enablement • Establish and run governance forums and decision-making processes to resolve data ownership, definition, quality, and access issues • Provide executive-level reporting on governance maturity, compliance posture, data quality health, and key risks • Lead and develop a governance team, setting objectives, coaching talent, and ensuring consistent delivery of governance outcomes

In this role you will: Review all orders on a daily basis in a timely manner to identify valid and fraudulent transactions while adhering to department and company service level agreements Maintain or exceed review volume expectations with minimal errors or complaints Review and analyze various notifications and escalations to identify fraudulent transactions Provide timely and accurate response to emails and/or voicemails to ensure that customers are getting the best service especially when being asked for verification, etc. Analyze fraud transactions and chargebacks to identify, summarize, communicate and report fraud trends Manage and maintain fraud strategy by identifying, creating and reviewing fraud rules and processes Conduct periodic review of rule performance and adjust as needed to ensure maximum efficiency and effectiveness Influence the development of fraud tools, fraud models and review procedures to enhance ability to detect fraudulent activity and reduce losses Work closely with other members of the team by handling questions and escalations and continuously improving internal processes Maintain effective working relationships across internal and external teams as necessary Manage law enforcement requests and maintain working relationships with third-party fraud solution providers, merchant fraud teams and issuing banks Maintain a positive attitude and be willing to adjust daily responsibilities to meet the needs of the business Develop and maintain reports of fraud review rates, chargeback processing and system performance to determine effectiveness and provide management and executive reporting Working knowledge of SQL and some programming language required Must be able to work weekends and non-traditional shifts We are looking for: 3-5 years of experience in e-commerce fraud and payments environment Working knowledge of Customer Service and valuing the customer experience Strong attention to detail with consistent accuracy The ability to follow stringent processes and regulations Must have the ability to meet critical deadlines in a fast paced environment

• Lead the design and governance of an enterprise taxonomy and data rule framework, including business terms, entities, products, and classification hierarchies that support consistent data use. • Translate business needs into clear, objective, and measurable data and quality rules that can be implemented, tested, and monitored. • Develop governance frameworks that connect taxonomy → business rules → data quality standards → measurable outcomes. • Partner with data engineering, analytics, and product teams to embed governance requirements into data pipelines, tooling, and workflows. • Establish standards for rule authoring, validation, conflict detection, and lifecycle management. • Drive clarity and consistency in definitions, metadata, and documentation across domains. • Support the creation of data quality metrics, thresholds, and reporting aligned to business use cases. • Coach and enable data owners, stewards, analysts, and associates to apply governance standards confidently and consistently. • Contribute to governance operating models, playbooks, and training materials designed for both technical and non-technical audiences. • Act as a thought partner on governance best practices, tooling needs, and maturity progression.

• Develop and maintain pricing and risk models with limited supervision, ensuring accuracy, transparency, and scalability • Analyze product profitability, loss trends, competitive positioning, and risk segmentation to inform pricing decisions • Conduct competitive intelligence analysis, including familiarity with tools such as InsureQuote and market benchmarking sources • Partner with underwriting and product teams on rate filings, state-specific pricing strategies, and ongoing model refinement • Support state product research efforts, with a focus on Texas and other growth markets • Analyze and model catastrophic perils (e.g., wind, hail) and their impact on pricing, segmentation, and portfolio risk • Leverage AI tools and advanced analytics techniques to improve efficiency, deepen insights, and accelerate analysis • Explore new data sources and evaluate multiple inputs to strengthen analytical conclusions • Identify risks, inefficiencies, and improvement opportunities within pricing workflows • Develop templates, share best practices, and mentor junior analysts through collaboration and review