Designs, governs, and optimizes enterprise PeopleSoft solutions across HCM, Finance, Payroll, and related functions. Partners with stakeholders, functional consultants, and technical teams to gather requirements, develop technical designs, evaluate existing systems, recommend improvements, and oversee integrations. Ensures PeopleSoft environments meet scalability, security, performance, compliance, and business-alignment objectives.
ES OnPrem PeopleSoft Architect is responsible for designing, governing, and optimizing enterprise PeopleSoft solutions across Human Capital Management (HCM), Finance, Payroll, and related business functions. The architect works closely with business stakeholders, functional consultants, and technical teams to define solution architecture, gather requirements, create technical design documents, and ensure that PeopleSoft applications align with business objectives. They evaluate existing systems, recommend improvements, oversee integrations with third-party and enterprise applications, and ensure scalability, security, performance, and compliance across the PeopleSoft environment.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads global communications strategy for Mastercard’s Commercial and New Payment Flows business. Responsibilities include executive profiling, internal and external communications, media relations, digital and social activation, storytelling, events, product launch messaging, regional coordination, stakeholder advising, and communications measurement. The role builds relationships with financial services, payments, technology media, influencers, and analysts while strengthening Mastercard’s reputation and supporting senior leadership.
Top Skills:
Communications Measurement ToolsDigital AssetsDigital PaymentsSocial Media
Fintech • Machine Learning • Payments • Software • Financial Services
Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchVectordbs
4 Hours Ago
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science for consumer and developer experiences, partnering with engineers and product managers to deliver customer-focused products. Builds, evaluates, validates, and deploys machine learning models using large-scale numerical and textual data. Applies statistical modeling, A/B testing, clustering, classification, sentiment analysis, time series, and deep learning while translating technical insights into business outcomes. The role also includes team leadership, talent development, and evaluating emerging AI and cloud technologies.
Top Skills:
SparkAWSCondaGenerative AiH2OMachine LearningPythonRRelational DatabasesScala
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


