Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead and grow strategic banking client relationships, advise C-suite on data, AI, and digital transformation, drive account growth and multi-tower solutions, coordinate cross-functional teams, and shape client roadmaps and thought leadership in financial services.

Lead design and delivery of cloud-native data pipelines and data warehouse models for insurance analytics using Snowflake, PySpark, and AWS. Drive migration/modernization from legacy systems, implement SQL transformations and data quality frameworks, optimize performance, and enforce engineering standards. Coordinate onshore/offshore teams, engage stakeholders, mentor junior engineers, and support project planning and delivery.

Assist the US Tax Team with state and local tax research for foreign and domestic entities, prepare summaries and tax returns using e-Forms, contact taxing authorities, maintain trackers and portals, prepare intercompany agreements and Excel workpapers, analyze tax GL accounts, and support day-to-day tax matters under supervision.

Senior leader driving enterprise transformation through end-to-end M&A integration and an Integration Management Office, building AI- and analytics-driven offerings, leading VP-level client delivery, structuring executive decisions, and communicating recommendations to C-level stakeholders.

Schedule and contact policyholders by phone, SMS, and email to arrange insurance appraisals, guide homeowners through the ASSIST photo-capture app, update work order statuses, meet productivity and quality goals, and escalate issues to management.

Design and implement end-to-end Microsoft Fabric data solutions (ingestion, Lakehouse, warehouse, real-time). Create architectures, reusable frameworks, and governance patterns for insurance datasets. Lead ingestion pipelines, optimize performance/cost, integrate with Azure services and security, support regulatory compliance, and provide technical direction to engineering and analytics teams.

Own and monitor a consumer lending portfolio; develop and implement underwriting, limit, pre-screen, and risk-tier strategies. Perform hands-on analysis with SQL and Python, run A/B and champion/challenger tests, use internal and third-party data, ensure fair lending governance, and collaborate across stakeholders to translate analysis into business recommendations.

Design and implement end-to-end data solutions on Microsoft Fabric and Azure for insurance datasets. Build ingestion pipelines (batch, streaming, API), Lakehouse architectures, and data models. Enforce governance, security, compliance, and cost/performance optimizations while guiding engineers and stakeholders on architectural best practices.

Deploy and optimize EXLdata.ai in client cloud environments, troubleshoot infra/IAM/pipeline issues, build and customize data pipelines (PySpark/SQL/Databricks/Snowflake), integrate GenAI agents, drive client value realization, and feed product feedback to engineering while providing white-glove managed-service support.

Lead end-to-end strategic sourcing and procurement programs, manage client relationships, oversee a team of sourcing professionals, run RFx processes, supplier selection, negotiations, and contracting, monitor KPIs/SLAs, and drive continuous improvement across global engagements.