Role Description This position is located under the Emergency Preparedness and Response section of the Division of Health Protection of DPH. The Data Operations Specialist reports to the Data Operations Manager. This is an entry-level position, offering the opportunity to build skills in data collection and analysis as well as emergency management. - Under supervision, the Data Operations Specialist collects and analyzes data across numerous sources as well as generates visualizations and reports that facilitate situational awareness across DPH’s Emergency Preparedness and Response program. - Maintains and improves a Knack™-based data collection platform used statewide. - Identifies trends, gaps, and variances to improve the efficiency and effectiveness of operations and drive decision-making. - Receives additional training, as required, to gain full proficiency and experience in relevant areas. - Serve as a liaison between data operations and planning teams, ensuring emergency preparedness planning efforts are data driven. - Other duties as required. Qualifications - Associate degree in business or related field from an accredited college or university and three (3) years of experience related to area of assignment; or one (1) year of experience required at the lower level Busi Support Analyst 2 (GSP131). - Note: An equivalent combination of knowledge, education, job or intern experience, training, or certifications that provides the necessary knowledge and skills to successfully perform the job at the level listed may be substituted year-over-year. Requirements - Previous experience working with Knack, Power BI, or computer programming. - Prior public health or emergency preparedness and response experience. - Previous experience developing plans or formal guidance documents. - Team-oriented, able to maintain positive working relationships with internal and external partners. - Solutions-driven, meticulous, and willing to learn. - Bachelors Degree. Benefits - Standard Benefits for Full-Time Salaried Employees: - Competitive salary. - Generous benefits package that includes a flexible schedule. - Training opportunities. - Health insurance. - Employee retirement plan (ERS GSEPS). - Deferred compensation. - 13 paid holidays. - Vacation and sick leave. - Paid parental leave. - Dental, vision, long-term care, and life insurance. - Standard Benefits for Part-Time Employees: - Eligible to participate in the Georgia Defined Contribution Plan. - Receive paid parental leave.

• Providing leadership, guidance, and strategy to onsite property teams. • Driving property and portfolio leasing, operational, and financial performance. • Leading approximately 75% of the workforce. • Training and empowering strong leaders. • Implementing and ensuring execution of the strategic vision and objectives for the Operations Department. • Consistent revenue growth and expense management. • Reputation management and customer experience standards. • Process improvement and operational efficiencies. • Collaborating with peers to draft and communicate changing business plans that adapt to changing market conditions. • Developing and executing long-term strategies to enhance property value and focus relentlessly on resident satisfaction. • Collaborating with senior leadership on strategic initiatives, growth plans, and opportunities to expand and improve the student housing portfolio.

• Own the Operation: Lead the day-to-day Promotions & Rewards support operation (email, phone, chat), crushing SLAs, CSAT, and QA targets. • Lead the Leaders: Coach and develop a resilient bench of Managers and Team Leads. • Influence Upstream: Serve as the CXO voice in the promotion lifecycle. • Drive Fulfillment: Oversee end-to-end fulfillment. • Deploy AI & Automation: Champion AI adoption. • Ruthless Ticket Reduction: Analyze ticket drivers and recurring client complaints to identify upstream fixes.

Role Description Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our Technical Specialists, are critical to this expansion, enabling us to scale safely and efficiently. In this role you will: - Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. - Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs. - Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows. - Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance. - Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals. - Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features. A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment. Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment. Qualifications - BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations. - Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring. - Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics. - Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. - Must have the ability to work a flexible schedule, including some weekends and holidays, as needed. Requirements - Demonstrated strong execution with ability to drive outcomes. - Experience working with offshore teams / multiple local operations hubs. - Basic SQL querying. - Competency in LLM / transformer models, and / or ML for robotics domain experience. - A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions. - Self-motivated with basic skills in task planning and time management. Benefits - Health, dental, vision, life, disability insurance. - Retirement Benefits: 401(k) with company match. - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment. - Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary). - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks. - Baby Bonding Leave: 18 weeks. - Holidays: 13 paid days per year.