Top Big Data Jobs in Los Angeles, CA

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

Lead technical onboarding for high-value CTV and mobile publishers onto the SpringServe platform. Deliver technical demos, design and execute migration plans, troubleshoot ad server and SDK integrations (oRTB, VAST), liaise with BD, Product, and Operations, and ensure smooth handoffs while maintaining strong client relationships and satisfaction.

The job involves leading product marketing strategies, conducting market analysis, driving product launches, and enhancing customer engagement with AI-driven insights in a fast-paced environment.

The Lead Growth Strategist will develop and implement innovative, data-driven marketing strategies to grow Startpage's user base and increase app installations and browser usage.

The role involves meeting customers to understand integration requirements, building tailored solutions, conducting tests, and feedback to engineering. The focus is on integrating diverse systems using Python, SQL, and APIs.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Host and scriptwrite automotive video content for Edmunds and CarMax across YouTube and social channels. On-screen talent duties include driving and evaluating test vehicles, researching and writing scripts, fact-checking, collaborating with video/social/test teams, generating social assets, managing assignments in Monday.com, attending events, and producing companion written content. Requires regular driving and occasional travel, commuting to Santa Monica.

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.

Manage high-impact technical escalations, coordinate cross-functional teams to drive resolution, lead incident calls and executive communications, perform root-cause analysis, track trends, and lead improvement projects to prevent repeat issues and improve escalation response.

Lead end-to-end delivery of complex Professional Services engagements, establishing governance, managing risks, finances, and stakeholder alignment. Serve as trusted advisor, integrate AI use cases, mentor teams, and improve delivery standards to drive customer outcomes and business health.

Manage the global Candidate Experience function, leading a team to optimize candidate interactions and drive operational excellence across regions.

The Technical Account Manager will support enterprise customers, optimize cloud file data platform use, and ensure customer success through technical guidance and collaboration with engineers.