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Top Data Management Jobs in Los Angeles, CA

Reposted 5 Hours AgoSaved
In-Office or Remote
Los Angeles, CA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Consumer Web • eCommerce • Food • Healthtech • Natural Language Processing • Social Impact
Lead data engineering and system integration initiatives, ensuring high data quality and operational effectiveness. Collaborate with stakeholders to deliver technical solutions and build effective teams.
Top Skills: Apache AirbyteApache AirflowApache NifiBoomiCensusDbtDebeziumFivetranHightouchKafkaMulesoftPythonRabbitMQSQLTalendWorkato
Reposted 18 Days AgoSaved
Remote or Hybrid
Los Angeles, CA
130K-256K Annually
Expert/Leader
130K-256K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Manager, you will lead teams to solve complex data and analytics challenges, focusing on cloud data strategies and solutions in financial services, specifically insurance.
Top Skills: AWSAws S3AzureAzure Adls 2.0DatabricksGCPHadoopIicsKafkaPower BISap BodsScalaSnaplogicSnowflakeSparkSQLSsisTableauTerraform
Reposted 14 Days AgoSaved
Remote
Los Angeles, CA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead the centralized data engineering team, build data infrastructure, create scalable processes, and drive innovation across the organization.
Top Skills: AirflowAWSDagsterDbtGCPPython

Featured Jobs

Reposted 24 Days AgoSaved
Remote or Hybrid
Los Angeles, CA
72K-141K Annually
Senior level
72K-141K Annually
Senior level
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Senior Consultant will leverage analytics in portfolio management, developing automated tools and delivering insights to improve underwriting strategies.
Top Skills: Microsoft PowerbiSQL
Reposted 2 Days AgoSaved
Hybrid
Los Angeles, CA
Expert/Leader
Expert/Leader
Marketing Tech
Lead the development and implementation of machine learning solutions, fostering a high-performance team while driving significant business impact across the organization.
Top Skills: Causal InferenceDigital Advertising SystemsMachine LearningSupervised Learning
Reposted 5 Days AgoSaved
In-Office
Los Angeles, CA
145K-170K
Senior level
145K-170K
Senior level
Information Technology
Lead the data analytics team, develop data strategies, oversee data collection and reporting, and provide insights for strategic decisions at Veo.
Top Skills: LookerPower BIPythonRSQLTableau
Reposted 24 Days AgoSaved
In-Office or Remote
Los Angeles, CA
Senior level
Senior level
Cloud • Information Technology • Software
Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.
Top Skills: AWSAzureGCPHugging FacePythonPyTorchTensorFlow
Reposted 5 Hours AgoSaved
In-Office or Remote
Los Angeles, CA
265K-350K
Senior level
265K-350K
Senior level
Software
Lead AI strategy and research team to develop cutting-edge AI technologies, integrating them into products while mentoring a talented team of researchers and engineers.
Top Skills: AIDeep LearningGenerative Models
Reposted 3 Days AgoSaved
In-Office or Remote
Los Angeles, CA
200K-230K Annually
Senior level
200K-230K Annually
Senior level
Software
The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.
Reposted 4 Days AgoSaved
Remote or Hybrid
Los Angeles, CA
Senior level
Senior level
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
Lead the strategy and governance of data assets in capital markets to influence business decisions, optimize data value, and collaborate across departments for maximizing data utility.
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