Top Big Data Jobs in Los Angeles, CA

Manages and grows a portfolio of ad-serving clients by driving revenue, upselling SpringServe tools, onboarding and training clients, and optimizing yield. Builds consultative relationships across the CTV ad tech ecosystem, leads strategic business reviews, captures product needs, coordinates cross-functional execution, and tracks account activity in Salesforce. The role requires strong presentation, communication, organizational, problem-solving, sales, and relationship-management skills.

Conduct healthcare economics research and quantitative analysis using clinical, financial, claims, and operational data. Develop SQL and Python queries, statistical models, performance metrics, dashboards, visualizations, and financial reports. Apply data governance and quality practices, identify medical cost and utilization trends, and provide actionable recommendations to business and leadership stakeholders. Lead analytical projects, collaborate with partners, perform ad hoc analyses, and present findings in leadership-ready formats.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.

Manage 2-3 cross-functional software teams to deliver projects using Agile (Scrum/Kanban). Plan timelines, facilitate meetings, remove blockers, improve processes, and coordinate with program leadership on resource planning and portfolio initiatives.

As a Senior Security Engineer, you'll lead AWS cloud security, manage security operations, and implement Zero Trust principles while using AI-powered tools for automation and incident response.

Design, build, and deploy production-scale ML models and ranking systems for personalization and advertising. Take end-to-end ownership of models and services, implement evaluation harnesses and automated tests, and maintain data pipelines using Hadoop/Spark/Kafka. Collaborate across teams and present technical findings, while ensuring scalable, reliable system architecture and rapid iteration using AI-assisted coding tools.

Own and expand customer relationships across the Western United States for a cloud-based healthcare genomics platform. Drive adoption, usage, and account growth within hospitals, laboratories, and healthcare organizations; identify expansion opportunities; navigate complex stakeholder groups; provide account support; and partner with sales teams on customer meetings and commercial development. The field-based role requires approximately 30–40% territory travel.

Manages Buick and GMC dealership relationships across an assigned territory, providing consultative coaching, analyzing sales and customer metrics, optimizing vehicle and parts inventory, supporting product launches, driving vehicle and services sales, and ensuring adoption of GM programs. The role requires frequent territory travel, dealership performance improvement, cross-functional issue resolution, and compliance with GM standards.

Manage Chevrolet dealership relationships across an assigned territory, coaching dealer leadership, analyzing sales and market performance, driving vehicle and accessory sales, optimizing inventory ordering, launching GM programs, and resolving business concerns. The role requires frequent field travel, strong sales and analytical skills, dealership performance improvement, and collaboration with GM stakeholders. Candidates must reside in or relocate to the territory and legally operate a motor vehicle.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.