Top Hybrid Jobs in Dallas-Fort Worth, TX

Designs and executes QA plans for Windows applications, operating systems, endpoint management solutions, software packages, virtual machines, and enterprise IT workflows. Tests Intune deployments, Hyper-V environments, installations, permissions, configurations, and file-system operations. Troubleshoots Windows and virtualization issues, performs regression and functional testing, documents defects, supports root-cause analysis, and contributes to automation initiatives using scripting such as PowerShell.

Handle inbound customer calls, chats, and emails; guide customers through product applications, troubleshoot platform issues, conduct video notary sessions, and resolve concerns. The role requires clear communication, empathy, attention to detail, compliance training, e-notary licensing, and adaptability in a high-volume call center environment. Associates also identify support trends, contribute process improvements, and help strengthen customer trust and loyalty.

Lead a Dallas-based investment team originating, underwriting, structuring, and managing senior debt, direct lending, mezzanine, and structured equity investments across the Southern U.S. Develop client, sponsor, and intermediary relationships; present recommendations to investment committees; negotiate loan documentation with counsel; manage amendments; and mentor investment professionals. The role requires extensive corporate finance and debt investment experience, strong analytical and communication skills, leadership ability, and travel to networking and business development events.

Own strategic relationships with enterprise SaaS customers, driving adoption, measurable value, customer health, retention, renewals, and expansion. Lead executive business reviews, success planning, escalations, forecasting, and cross-functional coordination across Sales, Support, Product, and Professional Services. Manage complex financial-services accounts and translate technical capabilities into business outcomes while maintaining commercial accountability for portfolio performance.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting strategic accounts, leading executive discussions, negotiating deals, and maintaining accurate pipeline forecasts. The role requires consultative SaaS selling, strategic account ownership, cross-functional collaboration, product expertise, and support for successful customer deployments.

Lead FP&A consulting engagements, delivering performance reporting, KPI dashboards, budgeting and forecasting processes, planning technology implementations, long-range financial models, interim FP&A leadership, cash flow models, ROI analysis, pricing analysis, profitability analysis, and decision support. Develop client relationships, communicate insights from data, execute project plans, and travel as needed to meet client requirements.

Manage GAINSCO’s enterprise data governance program, including governance councils, policies, business glossaries, data quality standards, stewardship, metadata, and master data management. Partner with IT, Security, Legal, Compliance, and business teams to improve data privacy, access, retention, audit readiness, and responsible AI practices. Facilitate cross-functional issue resolution, develop documentation and training, and support data literacy across the organization.

Leads the Data Engineering and Analytics team, managing people, technical strategy, intake prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products while guiding predictive analytics and machine-learning initiatives such as forecasting, recommendations, and segmentation. Establishes quality, reliability, governance, and development standards; mentors team members; supports debugging, process improvement, monthly reporting, invoices, and scorecards. The role also promotes responsible AI adoption and PHI-compliant data practices.

Leads day-to-day IT operations across corporate and data center environments, managing service delivery, infrastructure health, patching, backups, networking, monitoring, vendors, compliance, and ITSM. Oversees and develops systems, network, and helpdesk staff while serving as a hands-on technical escalation point. Leads infrastructure design, commissioning, and go-live support for new data center sites, traveling 30–40% as needed.

Leads data engineering and AI/ML enablement initiatives, building scalable pipelines, platforms, MLOps frameworks, RAG systems, and AI infrastructure. Owns complex engineering projects autonomously, evaluates tools and architectures, develops production AI solutions, and establishes standards for deployment, monitoring, governance, security, and responsible AI adoption. Partners with data, governance, architecture, product, and business stakeholders to identify readiness gaps and shape the organization’s AI/ML roadmap.