Top Big Data Jobs in Los Angeles, CA

Develop and maintain a globally distributed advertising server and buying platform. Responsibilities include full-stack design, coding, testing, releases, production support, code reviews, technical planning, troubleshooting, and collaboration across teams. The role requires Java backend development, asynchronous programming, database and SQL expertise, algorithmic problem-solving, and management of competing priorities. Ad technology and header bidding experience are preferred.

Manages publisher clients, serving as the primary point of contact while coordinating with sales, product, marketing, and technical teams. Drives publisher revenue growth through yield analysis, optimization, relationship management, campaign setup and trafficking, and performance monitoring. Identifies issues and recommends adoption and growth opportunities while delivering data-driven insights, reports, and presentations to executive-level clients.

Leads Enterprise Security services, setting and enforcing security standards across identity, endpoints, business applications, cloud infrastructure, networking, IoT, and automation. Partners with IT, SOC, vulnerability management, governance, and threat operations teams to secure applications, monitor environments, manage EDR policies, remediate vulnerabilities, assess risks, and maintain compliance. Also drives AI security initiatives and uses AI tools to improve enterprise security capabilities and team efficiency.

Build and maintain agent skills, tooling, and evaluation infrastructure: CLIs, libraries, CI workflows, metrics, safety gates, and observability for agent behavior. Design evaluation datasets, investigate failures, and collaborate with product and security teams to ship reliable, reusable internal systems.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

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.

Lead end-to-end delivery of ad measurement campaigns: plan, align media/assets/sampling, coordinate Ad Ops/Analytics/Product/Sales/Insights, manage timelines and risks, communicate with customers, and ensure data accuracy and actionable insights.

Manages Buick and GMC dealership relationships across the Milwaukee/Madison territory. Provides consultative coaching, analyzes sales and customer metrics, supports product and program launches, optimizes vehicle and parts inventory, and drives adoption of GM products and services. The role develops territory business plans, tracks dealership commitments, resolves concerns, monitors training and compliance, and travels frequently to assess operations and support program execution.

Serves as the primary field representative for OnStar, connected services, loyalty programs, and subscription offerings across assigned dealerships. Builds dealer relationships, coaches sales and service teams, delivers training, analyzes performance data, develops action plans, supports product launches, troubleshoots technology platforms, and improves customer onboarding and loyalty. Requires up to 90% travel within the assigned territory and frequent dealership visits.

Owns the executive relationship and commercial growth strategy for a critical strategic account. Responsibilities include revenue retention and expansion, cross-selling, complex contract renewals, multi-year account planning, executive business reviews, and integrated solution design across roadside assistance and accident management services. The role requires senior-level engagement with C-suite stakeholders, cross-functional leadership, high-stakes negotiation, and frequent travel for client engagement.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.