• Monitor and analyze security events to identify potential threats and vulnerabilities within the organization's infrastructure. • Utilize advanced threat intelligence sources, security tools, and techniques to detect and investigate security incidents, assess the impact, and recommend appropriate mitigation strategies. • Collaborate with cross-functional teams to develop and implement proactive measures to enhance the organization's security posture and minimize risk exposure. • Develop and execute strategic plans for proactive threat-hunting initiatives to identify and mitigate potential security threats before they escalate. • Conduct in-depth analysis of security logs, network traffic, and endpoint data to identify anomalous behavior and indicators of compromise (IOCs). • Investigate and triage security alerts to determine the severity, impact, and root cause of security incidents. • Develop, test and validate detection engineering automation in order to combat threats, emergent risks and vulnerabilities to enhance SOC detections and response times.

• Proactively hunt for hidden threats across endpoints, networks, cloud, and applications. • Develop and execute hypotheses-driven threat hunting campaigns using security data and intelligence. • Analyze large volumes of log, endpoint, and network data to uncover anomalous or malicious activity. • Research and track adversary TTPs and leverage frameworks such as MITRE ATT&CK. • Collaborate with Detection Engineering to refine detection rules, signatures, and playbooks to improve threat detection. • Collaborate with Incident Response and SOC teams to investigate and contain security incidents. • Provide technical mentorship to junior threat hunters and SOC analysts. • Partner with Threat Intelligence to operationalize indicators and adversary insights. • Contribute to continuous improvement of detection engineering and hunting methodologies.

The Assistant Manager, Championship Agronomy will support the Senior Director, Championship Agronomy and other consulting agronomists, providing championship agronomy services across venues in the United States and Mexico. Conduct pre-site visits for assigned host sites. Data collection for putting greens in support of on-site agronomists for USGA championships and other events. Produce agronomic reports, pre-tournament and post-tournament reports for tournament officials in preferred formats. Data organization and analysis across USGA championships to maintain consistency for all championship reporting. Develop content and make presentations on agronomic and sustainability topics while advancing the Green Section expertise, outreach, and programs available from the USGA. Develop articles as assigned that inform the golfing public (superintendents, golfers, course officials, etc.) on timely agronomic topics related to tournament golf. Maintain a fundamental understanding of the USGA strategic plan and goals for a culture of excellence. Collaborate and assist with departmental activities and projects, as assigned.

• Partner with program managers, domain experts, and end users to gather and clarify business and functional data requirements. • Document requirements, data definitions, and business rules so technical teams understand what is needed and why. • Translate stakeholder needs into clear deliverables such as requirements documentation, user stories, and acceptance criteria. • Revisit and refine requirements as priorities or feedback evolve. • Review existing data workflows and business processes to identify inefficiencies, delays, or manual workarounds. • Help shape improvements that streamline operations and improve data availability and usability. • Ensure analytics and reporting align with how the organization actually operates. • Analyze integrated datasets to produce insights that support operational and leadership decisions. • Build and maintain dashboards and reports using Tableau or Qlik, with a focus on clarity and usability. • Write and validate SQL queries to support analysis, reporting logic, and data verification. • Ensure metrics are well-defined, accurate, and consistent across reports. • Work with technical and QA teams to confirm data outputs meet business expectations. • Perform high-level validation to ensure results make sense in context, not just technically. • Help identify gaps, inconsistencies, or definition issues before data is delivered to stakeholders. • Create and maintain documentation including requirements specifications, data dictionaries, and report user guides. • Communicate findings clearly to non-technical audiences, translating data into practical insight.