Technical Project Manager Data Engineering Data Science
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. In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.
Required Qualifications
Technical Skills
- Experience managing Data Engineering and/or Data Science projects
- Strong understanding of AWS data services: Amazon S3 AWS Glue Amazon Redshift Amazon EMR Amazon Athena Amazon SageMaker AWS Lambda 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 AWS Glue Amazon Redshift Amazon EMR AWS Lambda Amazon SageMaker Amazon Athena AWS Step Functions
- Partner with Data Engineers and Data Scientists
- Support architecture reviews and data pipeline planning
- Coordinate Machine Learning model deployments
- Ensure compliance with cloud security, data governance, and data quality standards
Stakeholder Management
- Present project updates to executive leadership
- Act as the primary point of contact for business and technology stakeholders
- Identify project risks and drive mitigation plans
- Facilitate collaboration across Engineering, Analytics, Operations, and IT teams
Preferred Qualifications
Certifications: PMP PMI-ACP Certified Scrum Master (CSM) SAFe AWS Cloud Practitioner AWS Solutions Architect
Industry Experience: Commercial Airlines Travel Transportation Logistics
Additional Technical Experience: Kafka Amazon Kinesis Tableau Amazon QuickSight Microsoft Power BI DataOps MLOps
Domain Knowledge: Passenger Operations Revenue Management Fleet Analytics Loyalty Programs
Before You Apply Please ensure you meet most of the following qualifications:
- Experience managing Data Engineering or Data Science programs
- Strong understanding of AWS data services
- Experience leading Agile project teams
- Experience coordinating onsite and offshore teams
- Strong stakeholder management and executive communication skills
- Ability to work in a Hybrid environment
- Valid authorization to work in the United States under one of the accepted work authorization categories
Flexible work from home options available.
Compensation: $60.00 - $70.00 per hour
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