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678 results for Systems Administrator in Accountemps
- Commerce, CA
- onsite
- Temporary to Hire
- 95.00 - 110.00 USD / Hourly
- We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
- 2026-10-15T21:21:58Z
- Dallas, TX
- onsite
- Permanent / Full Time
- 140000.00 - 150000.00 USD / Yearly
- <p>We are looking for an experienced Senior Data Engineer who is ready to step into a Manager of Business Intelligence position to lead data strategy and reporting initiatives for a fast-paced organization in Dallas, Texas. This role will oversee the design of scalable analytics solutions, transform complex data into actionable insights, and support decision-making across the business. The ideal candidate brings strong expertise in business intelligence, data warehousing, and AWS-based data tools, along with the ability to guide technical delivery and business collaboration.</p><p><br></p><p>Responsibilities:</p><p>• Lead the development and management of business intelligence solutions that provide clear, timely insights for operational and strategic teams.</p><p>• Design, enhance, and maintain data warehouse structures that support reliable reporting, analytics, and long-term scalability.</p><p>• Build and optimize data integration workflows using AWS Glue, AWS Lambda, and related cloud technologies.</p><p>• Partner with cross-functional stakeholders to translate business questions into dashboards, reports, and data models that drive informed decisions.</p><p>• Establish reporting standards, data quality practices, and governance processes to improve consistency and trust in analytics outputs.</p><p>• Oversee the performance and availability of BI platforms, ensuring efficient access to critical business information.</p><p>• Guide the use of Python and other technical tools to automate data processes and improve reporting efficiency.</p><p>• Support enterprise reporting initiatives, including work related to reporting workbench capabilities and broader data platform enhancements.</p>
- 2026-10-21T17:28:44Z
- Brookfield, WI
- onsite
- Permanent / Full Time
- 205000.00 - 240000.00 USD / Yearly
- Transform the Future of AI, Analytics & Intelligent Automation <br> We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise's analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company's long-term data and AI strategy. This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You'll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions. <br> Responsibilities: • Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building. • Help experienced the organization's approach to AI adoption, intelligent workflows, and advanced decision support capabilities. • Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value. • Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users. • Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions. • Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions. • Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery. • Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture. • Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows. • Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.
- 2026-11-05T23:23:40Z