AWS Step Functions* Knowledge of ETL/ELT frameworks and modern data pipeline architecture* Familiarity with Machine Learning lifecycle management* Experience with Agile delivery methodologies (Scrum or SAFe)* Experience using Jira, Confluence, or similar project management tools* Understanding of cloud security, data governance, and data quality best practices Project Management * Experience managing complex enterprise technology programs* Experience coordinating onsite and offshore GCC teams* Strong skills in project planning, dependency management, risk management, and stakeholder communication* Ability to communicate technical concepts effectively to executive leadership Professional Skills * Excellent verbal and written communication* Strong organizational and planning abilities* Ability to manage multiple priorities in a fast-paced environment* Comfortable working with cross-functional and multicultural teams Key Responsibilities Project Delivery * Lead end-to-end delivery of Data Engineering and Data Science initiatives* Define project scope, timelines, milestones, and success metrics* Manage project plans, RAID logs, risk registers, and executive status reporting* Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives Offshore Team Coordination * Serve as the primary liaison between onsite stakeholders and offshore GCC teams* Coordinate work across multiple time zones* Manage resource planning, priorities, escalations, and delivery governance* Ensure transparency and accountability across distributed teams Technical Leadership AWS Technologies: Amazon S3. Technical Project Manager | Data Engineering & Data Science Location: Dallas, TX Hybrid (Onsite + Remote) Employment Type: Full Time / Contract (W2) Duration: 12+ Months (Ongoing) Cloud Environment: Amazon Web Services (AWS) Team Structure: US Onsite Teams and Offshore GCC Teams Compensation: Competitive Market Rate We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.