<p>We are looking for a Data Analyst to support reporting, dashboard development, and business-focused data investigations for a financial services team. <strong>This long-term, remote contract position</strong> is based in San Francisco, California, and offers the opportunity to work remotely while partnering closely with stakeholders to deliver clear, timely insights. The ideal candidate brings strong analytical expertise, hands-on experience with modern BI tools, and the ability to manage priorities effectively in a fast-paced, sprint-driven environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine recurring reports and analytical outputs that help business partners make informed decisions.</p><p>• Develop, update, and enhance dashboard solutions in Looker to meet evolving stakeholder needs.</p><p>• Investigate data questions and resolve reporting issues related to business operations and client-focused requests.</p><p>• Manage assigned work within a sprint-based workflow, handling incoming tickets and adjusting priorities as needed.</p><p>• Collaborate with cross-functional stakeholders to gather requirements, confirm scope, and communicate delivery timelines.</p><p>• Provide ongoing analytics support through BI and reporting platforms, translating data into actionable insights.</p><p>• Maintain a balanced workload between stakeholder coordination and hands-on analysis, ensuring both communication and execution remain strong.</p>
<p>Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.</p><p><br></p><p>Solution Design & Technical Leadership</p><ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul><p>Data Infrastructure & Platform</p><ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul><p>Data Quality, Governance & Collaboration</p><ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul><p><br></p>
<p>Robert Half Management Resources is looking for an experienced Business Analytics/Data Analyst to support one of our clients on interim basis. This long-term contract position focuses on analyzing, transforming, and validating complex financial and operational data to help ensure accurate loading into a Workday environment. The role is ideal for someone who combines strong General Ledger knowledge with advanced Microsoft Fabric and Power BI capabilities. You will work alongside project, finance, and systems teams to improve data quality, strengthen reconciliation processes, and deliver actionable reporting throughout the engagement.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Lead data preparation, transformation, and validation activities across multiple legacy financial and operational source systems for Workday-related data loads.</p><p>• Examine General Ledger data, chart of accounts relationships, and transaction-level records to confirm accuracy, completeness, and alignment with target structures.</p><p>• Design, enhance, and maintain Microsoft Fabric pipelines, staging layers, and data models that support large-scale enterprise analytics and migration work.</p><p>• Create Power BI dashboards and reconciliation reporting that provide visibility into data quality, exception tracking, migration status, and balancing results.</p><p>• Partner with finance stakeholders, functional leads, and subject matter experts to investigate discrepancies, clarify mapping rules, and resolve data issues.</p><p>• Perform detailed analysis of high-volume, multi-source datasets to identify anomalies, trends, and risks that could affect migration outcomes.</p><p>• Support testing, cutover readiness, and post-load verification activities by monitoring results and confirming that loaded data meets business expectations.</p>
<p>Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.</p><p>• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.</p><p>• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.</p><p>• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.</p><p>• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.</p><p>• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.</p><p>• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.</p>
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and long-term direction of a foundational data platform in San Francisco, California. In this role, you will shape how critical operational data is modeled, governed, and accessed to support automation in a highly regulated healthcare environment. You will combine architectural leadership with hands-on engineering to build reliable, scalable systems that enable product teams to move quickly while maintaining accuracy, performance, and audit readiness.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture and ongoing refinement of core data structures, including business entities, system events, and traceable records for automated outcomes.</p><p>• Develop and maintain the platform services and storage layers that support AI-enabled workflows, ensuring data is both usable for decision-making and controlled for compliance needs.</p><p>• Create approaches for organizing, versioning, and retrieving domain knowledge so the platform can expand in capability as product needs evolve.</p><p>• Define stable data interfaces and platform APIs that allow engineering teams to build new functionality against dependable contracts.</p><p>• Improve scalability and system resilience to support rapid growth in users, workload volume, and transaction complexity.</p><p>• Partner with product and engineering leaders to set technical priorities, evaluate tradeoffs, and guide platform strategy.</p><p>• Write production-quality backend code and contribute directly to implementation across the data platform stack.</p><p>• Strengthen observability, testing, and data quality practices to protect integrity and support effective incident response.</p>
Robert Half and Protiviti operate one of the most advanced Salesforce ecosystems in professional services. We don't simply administer Salesforce—we leverage it as a core component of a hybrid cloud architecture connecting Sales Cloud, Azure, and enterprise platforms at scale. We are seeking a Salesforce Technical Architect to own the platform end-to-end and lead a distributed team of 10+ engineers across the U.S. and India. This is a hands-on architecture leadership role responsible for technical strategy, engineering standards, and key platform decisions. You will also lead major initiatives including Salesforce Data 360 (CDP), Agentforce expansion, and AI-enabled data and automation capabilities. What You'll Do Architecture & Platform Leadership Define when to leverage native Salesforce capabilities versus Azure-based Node.js or Python services. Design and oversee scalable integrations between Salesforce and internal or third-party systems using event-driven and near real-time architectures. Lead the implementation and evolution of Salesforce Data 360, Agentforce, and AI-powered data pipelines. Develop secure, scalable architectural patterns that support growth while maintaining governance and platform integrity. Proactively manage platform health using Salesforce Health Check and Optimizer. Engineering Governance & Quality Serve as the final authority for architecture reviews and technical design decisions. Establish engineering standards for a global development organization. Embed security, testing, and compliance throughout the SDLC. Implement automated quality gates including code reviews, testing, and security scanning. Enable teams to move quickly through strong frameworks, tooling, and automation. CI/CD & Automation Advance Python-driven CI/CD pipelines and support reliable deployments. Automate key SDLC processes including testing, security review, and release management. Drive a culture of continuous delivery and engineering excellence. Team Leadership & Delivery Mentor and lead senior and entry level engineers across multiple locations. Guide development of scalable Salesforce solutions using Apex, LWC, Flows, and platform capabilities. Design and support APIs, integrations, and automation solutions using Azure, Node.js, Python, and cloud-native services. Build and manage enterprise data pipelines supporting Salesforce and Data 360. Define integration standards and data contracts across enterprise platforms. Lead expansion of Agentforce capabilities and AI-powered employee experiences. Drive adoption of Einstein Copilot, predictive analytics, and generative AI within marketing and sales workflows. Partner with product, business, and data teams to deliver scalable solutions and technical direction.
<p><strong>Solutions Architect II – Azure, Microsoft 365 & AI</strong></p><p>Robert Half is seeking a Solutions Architect II to design, document, and govern enterprise technology solutions across Microsoft Azure, Microsoft 365, and emerging AI platforms. This role partners with business stakeholders, project teams, engineering teams, and technology leadership to translate business requirements into secure, scalable, and supportable solutions that drive organizational efficiency and innovation.</p><p>The ideal candidate brings strong expertise in Azure cloud architecture, Microsoft 365 technologies, security, identity management, and AI-enabled solutions. This individual will provide architectural leadership throughout the full project lifecycle, ensuring alignment with enterprise standards, governance frameworks, security requirements, and strategic technology roadmaps.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design end-to-end solutions leveraging Microsoft Azure, Microsoft 365, and AI technologies.</li><li>Develop architecture diagrams, technical documentation, implementation plans, and operational support models.</li><li>Lead architecture activities from concept through deployment and operational transition.</li><li>Ensure solutions meet business, security, compliance, scalability, performance, and cost optimization requirements.</li><li>Architect Azure environments including networking, identity, governance, monitoring, storage, application hosting, and AI services.</li><li>Design Microsoft 365 solutions utilizing Teams, SharePoint Online, Exchange Online, OneDrive, Intune, Power Platform, Defender, and Purview.</li><li>Develop identity and security architectures using Microsoft Entra ID, Conditional Access, Privileged Identity Management (PIM), and Zero Trust principles.</li><li>Evaluate and design AI-enabled business solutions leveraging Microsoft Copilot, Microsoft 365 Copilot, Azure OpenAI, Azure AI Services, Azure AI Foundry, ChatGPT, Claude, and Power Platform AI capabilities.</li><li>Partner with stakeholders to identify automation and AI opportunities that improve business processes and user productivity.</li><li>Contribute to architecture standards, governance processes, reference architectures, and technology roadmaps.</li><li>Facilitate architecture reviews, design workshops, and cross-functional collaboration efforts.</li><li>Mentor technical teams and provide architectural guidance across initiatives.</li></ul><p><br></p>