Top Information Technology Industry Jobs in Denver & Boulder, CO

Lead enterprise software procurement: analyze cost models, run RFP/RFQ/RFI processes, negotiate and manage large-scale software agreements, select and evaluate suppliers, drive cost savings, oversee supplier performance, and develop strategic category plans aligned with business objectives.

Lead cross-functional teams for strategic sourcing of software, negotiate and manage large enterprise contracts, run RFP/RFQ/RFI processes, evaluate suppliers and TCO, drive cost savings, manage supplier performance and change management, and develop category plans aligned to business goals.

Lead strategic sourcing and supplier management for hardware categories: negotiate contracts, run RFP/RFQ/RFI processes, perform TCO business analysis, develop category strategies, drive cost savings, manage supplier performance and cross-functional stakeholder groups.

Lead analysis, design, configuration, upgrade, and operation of enterprise business systems (SAP FICO). Translate stakeholder requirements into technical specifications, drive process improvements, manage vendors, support CI/CD and software environments, and may supervise or mentor other analysts to ensure successful implementation and long-term system operation.

Participate in planning, executing, and documenting V&V testing for aerospace systems. Read schematics, follow test procedures, troubleshoot, develop test plans/reports, support requirements management, and address product non-conformances while working in multidisciplinary teams.

Lead and support SAP accounting systems and reporting tools, design automated reporting, improve accounting processes, manage ERP projects and month-end support, ensure SOX-compliant GL controls, and collaborate with stakeholders across accounting and technical teams.

Lead delivery across multiple engineering and product teams, plan and track key initiatives, surface risks and dependencies, strengthen Agile practices, use metrics and OKRs to improve predictability, and communicate status to stakeholders to ensure on-time launches.

Monitor and verify accuracy of live e-sports game data feeds in real time, identify and resolve discrepancies, cross-check multiple sources, escalate issues, and collaborate to streamline processes. Maintain knowledge of schedules, rosters, rule changes, and key metrics to ensure contextual data accuracy throughout the season.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.

Lead design and execution of Toast's enterprise data governance: define strategy, build governance frameworks, policies, business glossary, Data Governance Council, ensure compliance (GDPR/CCPA/SOC2/PCI-DSS), run maturity assessments, enable data literacy, and grow the governance team to drive adoption across domains.

Manage a portfolio of SMB restaurant customers (Mandarin-speaking focus), drive adoption and retention of Toast products, deliver virtual meetings and demos, resolve technical and operational issues, leverage data to recommend product solutions, and participate in churn-saves and revenue retention conversations.

Manage and expand existing midmarket SaaS accounts by identifying upsell opportunities, driving new ARR, and using MEDDPICC to manage complex sales cycles. Build consultative client relationships, collaborate with Customer Success, Renewals, and Sales Engineers, maintain pipeline and forecasts, and consistently meet expansion revenue targets.

Serve as a trusted post-sales technical advisor for strategic customers: drive Dynatrace deployment and adoption, troubleshoot complex integrations, provide training and coaching, advocate customer needs to support and product teams, conduct business reviews, and document best practices.

Lead and build Dynatrace's Public Sector post-sale organization (Customer Success, Professional Services, Technical Support) for US Federal, SLED, and Americas customers. Drive retention and growth, ensure FedRAMP/security/compliance, deliver operational excellence (NRR, CSAT, MTTR), scale delivery using AI and Salesforce tooling, partner cross-functionally, and manage cleared-personnel and support operations across the region.

Partner with sales teams to design and deliver technical demonstrations and evaluations for data security solutions. Gather requirements, configure custom product setups, lead hands-on evaluations, and guide customers to successful outcomes in strategic enterprise opportunities.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Lead district warranty and dealer service initiatives to improve customer retention by enforcing service policies, reducing warranty waste, managing goodwill claims, ensuring field action completion, conducting dealer audits and training, and supporting cross-functional and legal reviews. Maintain dealer relationships, host performance meetings, and execute business plans to meet district warranty and customer experience metrics.

Lead global cloud and hybrid datacenter infrastructure teams to ensure reliable, scalable, and secure foundational services. Drive cloud governance, FinOps, Infrastructure-as-Code adoption (Terraform/CloudFormation), automation, and collaboration with SRE, security, and product engineering. Manage hiring, performance, and platform modernization for large-scale SaaS environments.

Lead product strategy and execution for the MGA portfolio, drive AI agent adoption, manage roadmaps and backlogs, partner with GTM and engineering, build training and sales enablement, own business operations headcount, and measure success by retention, adoption, and customer satisfaction.

Lead and grow a model governance team to oversee model validation, monitoring, drift and fair-lending assessments, documentation, change management, and customer/regulatory interactions. Own strategy, customer-facing governance relationships, validation reports, remediation tracking, and hands-on mentorship when needed.

Lead and scale a model governance and quantitative risk team responsible for performance and drift monitoring, validation, documentation, remediation, and customer-facing governance. Set strategy for governance automation and standards, manage cross-functional relationships, prepare reports for customers/regulators, and perform hands-on model review and mentoring as needed.

Design, train, and productionize machine learning models for fraud and identity risk across the full ML lifecycle. Research new fraud types, perform feature engineering and labeling, write production-ready code for real-time decisioning, monitor models, and provide analyses to inform product, sales, and data acquisition.