Top Big Data Jobs in Los Angeles, CA

Supports healthcare mergers, acquisitions, partnerships, and strategic investments through financial modeling, valuation, due diligence, transaction execution, opportunity research, and executive presentations. The Analyst develops DCF and comparable-company analyses, evaluates synergies and operational impacts, coordinates with internal teams and external advisors, prepares investment memoranda, and improves deal-management processes.

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.

Hunt and close net-new commercial and mid-market accounts for Nasuni's cloud-native file data and hybrid cloud storage platform. Build and manage pipeline, qualify opportunities, engage channel and cloud partners, use Salesforce for forecasting, and collaborate with internal teams to meet quota and drive measurable new-logo revenue.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Own revenue and publisher accounting processes, including journal entries, accruals, reconciliations, adjustments, invoicing support, and month-end close. Execute SOX controls, support audits, analyze contracts and accounting variances, and prepare financial reporting. Partner with Financial Systems, Product, Engineering, and Operations on Oracle enhancements, system implementations, automation, and process improvements. The role supports complex publisher accounting and revenue recognition in a public technology company.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

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.

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 technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.

Develop and maintain enterprise cybersecurity policies and standards aligned with ISO 27001, PCI-DSS, and SOC 2. Conduct vendor security and privacy risk assessments, track remediation, support audits and client questionnaires, evaluate security controls and evidence, and recommend corrective actions. Partner with IT, Engineering, vendors, and business units on security architecture, data security implementations, compliance, risk management, and organization-wide security awareness.