Top Big Data Jobs in Los Angeles, CA

Senior financial leader responsible for strategic financial direction of Optum Care Delivery West Region. Lead regional finance organization, oversee planning, budgeting, forecasting, performance management, M&A, capital allocation, cost management, revenue optimization, analytics, controls, and finance organization design to support care delivery and value-based payment models.

Support Annual Operating Plan and forecast cycles by increasing visibility into vendor spend and renewals, building AI-driven tools to automate workflows, creating financial analyses and business cases for renewals and investments, and supporting forecasting, headcount planning, executive reporting, and ad hoc FP&A projects.

Design, develop, and maintain Python-based web applications and integrations. Collaborate in an Agile team, participate in code reviews and scrum ceremonies, work with stakeholders to translate workflows into tickets, troubleshoot production issues, and optimize database queries and application performance. Use Flask/Django, relational and NoSQL databases, web services, and containerization.

Lead regional sales enablement for North America: design and scale onboarding and value-selling programs, perform gap analyses, partner with regional leadership, drive methodology adoption (MEDDICC/Command of the Message), measure enablement impact via Salesforce and Clari, and own KPIs like quota attainment and win rates.

Lead technical strategy and architecture for Affirm Bank's cloud, data, vendor integrations, and operational tooling. Design, build, and operate high-stakes systems end-to-end, own incident response, vendor selection, and the Bank↔Affirm Inc integration boundary. Ensure examiner-ready documentation, compliance, reliability, and observability while mentoring engineers and pushing AI-assisted engineering practices to increase velocity and product safety.

Lead development of scalable, well-tested data products for Revenue: design dbt models, metrics, dashboards, governance, and AI-enable analytics. Drive technical direction, automation, quality, and mentor cross-functional partners to deliver trusted reporting and self-service analytics.

Design, train, and productionize underwriting ML models for real-time transaction decisions. Build feature pipelines and training datasets, run experiments, integrate models into batch/real-time systems, and monitor data and model health while collaborating with cross-functional teams.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

Design, develop, implement, and evaluate synchronous, asynchronous, and blended learning solutions. Partner with SMEs and business units to create eLearning, instructor-led training, job aids, assessments, and metrics-driven improvements. Manage multiple instructional design projects, facilitate Train-the-Trainer sessions, and leverage e-learning tools (including Articulate and AI-enabled technologies) to improve associate performance and ROI.

Lead execution of integrated demand generation campaigns across paid digital, email/nurture, SEO, ABM, and events. Manage paid budgets, Salesforce campaign structure, attribution and pipeline reporting, partner/vendor relationships, and martech stack. Align marketing to Sales through pipeline reviews, win-loss analysis, and account tiering. Use AI tools to scale personalization and optimize channel performance.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

Lead revenue operations for sales, account management, and customer success by owning processes, metrics, and ad-hoc analysis. Optimize tools (Salesforce, Outreach, HubSpot), integrate people/process/systems strategies, escalate and resolve revenue issues, and provide data-driven insights to support growth and executive decision-making.