Industry Technical / Data Infrastructure Work Arrangement Remote Job Type Full-time Work Schedule Standard business hours with required overlap with US Pacific Time (PST) Locations: - LATAM: Mexico City (Mexico), Bogotá (Colombia), São Paulo (Brazil), Buenos Aires (Argentina), Caracas (Venezuela), Honduras (Dominican Republic) - Anywhere in LATAM About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US. Hear why we exist, what we believe in, and who we’re building for: WATCH HERE Why Work with Us? At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers. About the Company Our client is a technology-driven company operating at the intersection of data, infrastructure, and machine learning. They build large-scale datasets that power advanced analytics and AI systems, helping organizations make better decisions using real-world visual and geospatial information. The company operates in a fast-paced, high-ownership environment where data quality and execution excellence are critical to customer success. Role Overview The Infrastructure Analyst is responsible for analyzing roadway video and imagery to identify, classify, and document infrastructure conditions — including pavement distresses (cracks, potholes, rutting, raveling), road assets (signage, markings, barriers), and surface conditions. This role ensures accurate, consistent data delivery at scale. This is an ideal role for civil engineering graduates who want to apply their technical knowledge of pavements, road construction, and infrastructure assessment in a technology-forward environment. You will define standards, resolve ambiguous edge cases, and act as the final quality authority for datasets. The role works cross-functionally with Machine Learning and Customer Success teams while leading operational annotation teams. The ideal candidate is decisive, detail-oriented, and thrives in environments where speed, accuracy, and technical judgment must be carefully balanced. Your Impact - Deliver high-quality, customer-ready roadway condition datasets that directly support machine learning performance and infrastructure decision-making - Apply civil engineering knowledge to accurately identify and classify pavement distresses and road defects - Reduce ambiguity and improve data consistency across large-scale infrastructure assessments - Help scale data operations while maintaining strict quality standards - Enable faster iteration on ML models and stronger customer satisfaction through accurate ground-truth data Core Responsibilities Roadway Analysis & Data Creation – 40% - Analyze roadway video and imagery to identify pavement distresses: cracking (alligator, longitudinal, transverse, block), potholes, rutting, raveling, patching, and other surface defects - Classify infrastructure assets including signage, road markings, guardrails, drainage features, and barriers - Apply pavement condition assessment methodologies to ensure consistent, accurate classification - Own the full data creation lifecycle from video preprocessing through tagging, QA, and final delivery Quality & Standards – 25% - Define, document, and continuously refine classification standards for roadway conditions and assets - Build and maintain QA frameworks that ensure repeatable, high-quality output - Act as the final decision-maker on ambiguous classifications and edge cases - Identify recurring quality issues and implement corrective processes Team Leadership – 20% - Lead and manage annotation and review teams to meet quality and delivery targets - Train team members on pavement distress identification and classification standards - Set performance benchmarks and provide clear feedback to maintain consistency - Scale output while preserving quality standards Cross-Functional Collaboration – 10% - Partner closely with Machine Learning teams to align datasets with real-world infrastructure requirements - Work with Customer Success teams to ensure timely and accurate dataset delivery - Translate customer needs (transportation agencies, municipalities) into clear internal execution standards Process Improvement – 5% - Identify opportunities to automate or streamline tagging, QA, and review workflows - Build systems and processes that support growing dataset volume and complexity

Industry Technical / Data Infrastructure Work Arrangement Remote Job Type Full-time Work Schedule Standard business hours with required overlap with US Pacific Time (PST) Locations: - LATAM: Mexico City (Mexico), Bogotá (Colombia), São Paulo (Brazil), Buenos Aires (Argentina), Caracas (Venezuela), Honduras (Dominican Republic) - Anywhere in LATAM About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US. Hear why we exist, what we believe in, and who we’re building for: WATCH HERE Why Work with Us? At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers. About the Company Our client is a technology-driven company operating at the intersection of data, infrastructure, and machine learning. They build large-scale datasets that power advanced analytics and AI systems, helping organizations make better decisions using real-world visual and geospatial information. The company operates in a fast-paced, high-ownership environment where data quality and execution excellence are critical to customer success. Role Overview The Infrastructure Analyst is responsible for analyzing roadway video and imagery to identify, classify, and document infrastructure conditions — including pavement distresses (cracks, potholes, rutting, raveling), road assets (signage, markings, barriers), and surface conditions. This role ensures accurate, consistent data delivery at scale. This is an ideal role for civil engineering graduates who want to apply their technical knowledge of pavements, road construction, and infrastructure assessment in a technology-forward environment. You will define standards, resolve ambiguous edge cases, and act as the final quality authority for datasets. The role works cross-functionally with Machine Learning and Customer Success teams while leading operational annotation teams. The ideal candidate is decisive, detail-oriented, and thrives in environments where speed, accuracy, and technical judgment must be carefully balanced. Your Impact - Deliver high-quality, customer-ready roadway condition datasets that directly support machine learning performance and infrastructure decision-making - Apply civil engineering knowledge to accurately identify and classify pavement distresses and road defects - Reduce ambiguity and improve data consistency across large-scale infrastructure assessments - Help scale data operations while maintaining strict quality standards - Enable faster iteration on ML models and stronger customer satisfaction through accurate ground-truth data Core Responsibilities Roadway Analysis & Data Creation – 40% - Analyze roadway video and imagery to identify pavement distresses: cracking (alligator, longitudinal, transverse, block), potholes, rutting, raveling, patching, and other surface defects - Classify infrastructure assets including signage, road markings, guardrails, drainage features, and barriers - Apply pavement condition assessment methodologies to ensure consistent, accurate classification - Own the full data creation lifecycle from video preprocessing through tagging, QA, and final delivery Quality & Standards – 25% - Define, document, and continuously refine classification standards for roadway conditions and assets - Build and maintain QA frameworks that ensure repeatable, high-quality output - Act as the final decision-maker on ambiguous classifications and edge cases - Identify recurring quality issues and implement corrective processes Team Leadership – 20% - Lead and manage annotation and review teams to meet quality and delivery targets - Train team members on pavement distress identification and classification standards - Set performance benchmarks and provide clear feedback to maintain consistency - Scale output while preserving quality standards Cross-Functional Collaboration – 10% - Partner closely with Machine Learning teams to align datasets with real-world infrastructure requirements - Work with Customer Success teams to ensure timely and accurate dataset delivery - Translate customer needs (transportation agencies, municipalities) into clear internal execution standards Process Improvement – 5% - Identify opportunities to automate or streamline tagging, QA, and review workflows - Build systems and processes that support growing dataset volume and complexity

Department: 13585 Value Enablement Services - Clinical Insights & Operations: Data Strategy Status: Full time Benefits Eligible: Yes Hours Per Week: 40 Schedule Details/Additional Information: Job Profile Summary This individual will be responsible for analyzing complex clinical and financial (claims-based) scenarios to support informed decision making. This person works relatively independently with limited direction and supervision. Responsible for gathering and interpreting claims, clinical and administrative data to build effective financial models, make reasonable assumptions, and reach appropriate conclusions. Serves as a resource and consultant across the system and sites to design and produce relevant information to inform strategies essential to the success of population health initiatives. Major Responsibilities: - Prepares analyses and develops routine and special management reports and reporting tools to support ongoing PHO, CIN, RBO operations, finance, care management, clinical risk adjustment, and department management decision making. Works with administrative and physician leadership (site and system). - Analyze the total cost of care and payer contract performance using any and all data systems available. Makes specific recommendations to management and physician leadership (site and system) based on the results of these analyses. Analyze clinical, financial, and quality performance by site, physician, and contract. Proactively identify areas for analyses and share information with physician and administrative leadership. - Conduct and present analyses that drive improved delivery of value-based care. - Works with IT partners to diagnose, correct, and validate any issues with the data populating business intelligence tools. - Creates efficient presentations of quantitative and qualitative information by minimizing text and appropriately incorporating visual displays. For executive level reports, craft a concise written summary of key report conclusions and clearly translate analyses and visualizations into practical and actionable recommendations. Summarizes analytical findings in ways that business leaders and front-line clinicians can quickly understand and use to drive performance improvement. - Assumes responsibility for maintaining current knowledge of government regulations, policies, and trends that affect the health care industry, and independently conduct online research to access documents, pertinent regulations, or to access publicly available datasets. Licensure, Registration, and/or Certification Required: - None Required. Education Required: - Bachelor's Degree in Accounting, Business, Health Care Administration, Computer Science or related field. Experience Required: - Typically requires 5 years of experience in clinical data analysis or analytics experience in health insurance or healthcare fields. Knowledge, Skills & Abilities Required: - Must have strong analytical skills, advanced Microsoft Office Suite skills specifically in Excel and PowerPoint, and be able to communicate effectively with management and staff at all levels. - Advanced analytical skills, including the ability to analyze quantitative and qualitative data and reach sound conclusions. - Advanced computer skills, including Microsoft Office Suite; especially Excel. - Experience with one or more business intelligence tools, preferably Power BI. - Good communication skills, including verbal communication and business writing. - Working knowledge in the healthcare insurance industry, healthcare finances, care management, clinical risk adjustment, and/or physician practices. - Good project management and time management skills. - Good interpersonal skills, including the ability to communicate at all levels within the organization. - Experience with EMRs (Electronic Medical Records) preferred. - Experience and ability to create complex queries in SQL or other query languages. - Ability to code in Python preferred. Additional skills and experience: - Strong understanding of Managed Medicaid concepts including utilization management, quality measurement, risk stratification, benchmarking, and cost containment. - Familiarity with healthcare data types including claims, pharmacy, laboratory, ADT, and standardized clinical ontologies. - Demonstrated experience supporting application testing, implementation, training, and ongoing operations in a healthcare environment. - Experience with care management or population health platforms strongly preferred. - Experience with DHHS data and NC Medicaid program requirements preferred. Medicaid Specific Work: - Develop and execute SQL queries for data extraction, analysis, and reporting using Power BI and other BI tools. - Propose design and technical solutions to improve Managed Medicaid applications, processes, and workflows across the program. - Provide end-to-end application support for systems critical to Managed Medicaid operations, including care management, pharmacy, quality, and population health data platforms. - Continuously monitor Managed Medicaid applications and dashboards to ensure data integrity and compliance with program and state regulatory standards. - Manage and resolve application issues affecting Managed Medicaid workflows; serve as the primary vendor contact and first point of escalation for helpdesk tickets. - Administer application security controls to protect beneficiary PHI; support payer and DHHS audit preparation with timely, accurate data submissions. - Write and execute test plans for new application releases, bug fixes, and enhancements; communicate changes to internal and external stakeholders. - Develop and maintain application documentation, own subject matter expertise on Managed Medicaid platform functionality and product roadmaps. - Build and maintain vendor relationships; collaborate on root cause analyses and proactively mitigate risk of issue recurrence. Physical Requirements and Working Conditions: - Position may require some travel. May be exposed to road and weather hazards. - Generally exposed to normal office environment. - Operates all equipment necessary to perform the job. Fully Remote Role from these states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY. Due to complex requirements, remote work is NOT permitted for short or long periods in: CA, CO, CT, HI, MA, MD, MN, NJ, NY, OR, RI, VT, WA and working Internationally (this includes working while on vacation). No relocation, No Sponsorship or transfer of visa for this position now or in the future. This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. The incumbent may be required to perform other related duties. Pay Range $41.10 - $61.65 This individual will be responsible for analyzing complex financial and clinical scenarios to support informed decision making including financial, clinical and operational improvements. This person works relatively independently with limited direction and supervision. Responsible for gathering and interpreting claims, clinical and administrative data to build effective financial models, makes reasonable assumptions, and reach appropriate conclusions. Serves as a resource and consultant across the system and sites to design and produce relevant information to inform strategies essential to the success of population health initiatives. Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation - Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training - Premium pay such as shift, on call, and more based on a teammate's job - Incentive pay for select positions - Opportunity for annual increases based on performance Benefits and more - Paid Time Off programs - Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability - Flexible Spending Accounts for eligible health care and dependent care expenses - Family benefits such as adoption assistance and paid parental leave - Defined contribution retirement plans with employer match and other financial wellness programs - Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

• Collaborate with leadership to design state-of-the-art analytics processes for your team • Manage cross-functional projects, including defining success criteria, recruiting stakeholders across 6sense, and clarifying steps necessary for success • Conceptualize and build the tools and infrastructure behind our data platform and analytics • Explore and analyze big data from a variety of sources; first party, third party and product usage to name a few • Build and iterate on dashboards that inform stakeholders across product, engineering, sales and customer support teams. • Conduct in-depth analysis that tell the story of how our products are being used and identify improvements • Design and instrument KPIs with product managers, product leaders, engineers and other data analysts • Create compelling presentations with actionable recommendations • Share your insights across the team and company, from your team members up to the executive staff • Build robust multi aggregation data transformation pipelines that process billions of records across thousands of customers • Ensure that these pipelines operate under a defined engineering framework