Top Tech Jobs & Startup Jobs

Serve as Scrum Master for cross-functional data engineering, NLP, and ML teams supporting DoD/USAF MRO objectives. Facilitate Scrum ceremonies, remove impediments, manage backlogs, track sprint metrics, coordinate inter-team dependencies, maintain risk register and reporting cadence, ensure CDRL deliverables and alignment with program milestones, and coach teams in Agile best practices.

Designs and delivers knowledge-transfer and training materials for the US Air Force Research Laboratory. Creates and maintains SOPs and documentation, develops accessible online course content, multimedia learning assets, and interactive exercises. Collaborates with subject matter experts, evaluates training effectiveness, and iterates to improve learning outcomes.

Design and implement interactive dashboards and custom visualizations for maintenance predictive analytics. Integrate reports with data sources, collaborate with data scientists and analysts, build mobile-responsive, drill-down, and operational/executive reporting, and produce documentation and training.

Designs, develops, and maintains Oracle database environments (19c+), writing optimized PL/SQL, enforcing source control and security, performing backups, replication, data cleansing, and performance tuning. Collaborates in Agile/Scrum, conducts troubleshooting and root cause analysis, and translates business requirements into scalable data models.

Design and lead end-to-end data architecture for extraction, cleansing, analytics, and visualization. Build secure, scalable data pipelines and models supporting NLP/ML components, ensure DoD security compliance, produce technical specifications, review implementations, assess technical risk, and collaborate with program and data science teams to enable decision support and future weapon-system expansion.

Lead customer-facing program delivery, serve as primary government POC, provide executive oversight of strategy, schedules, QA, budgets, IT systems selection and implementation, risk mitigation, resource forecasting, and cross-team coordination to ensure program success.

Lead data science efforts including advanced analytics, ML model design, data preparation, mining, and visualization. Produce insights and reports from structured and unstructured data, collaborate with teams, and design data-driven solutions while providing technical leadership and working autonomously.