Technical Project Manager Data Engineering Data Science
Select Minds LLC
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Benefits offered by this job
Job summary
Select Minds LLC in Dallas, TX seeks an experienced Technical Project Manager to lead Data Engineering and Data Science programs within a large airline environment. You will coordinate on-site US leadership with offshore GCC teams, driving AWS-based data initiatives from planning through delivery.
Responsibilities include end-to-end delivery, scope and milestone definition, RAID/risk management, and executive status reporting while guiding Agile ceremonies and cross-functional collaboration in a
Qualifications
- Experience managing Data Engineering and/or Data Science projects.
- Strong understanding of AWS data services: Amazon S3, AWS Glue, Amazon Redshift, 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
Responsibilities
- 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.
Skills
Tools
Job description
- HYBRID
- Competitive salary
- Opportunity for advancement
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.
- Experience managing Data Engineering and/or Data Science projects
- Strong understanding of AWS data services: Amazon S3, AWS Glue, Amazon Redshift, 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
- 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
- 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
- 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
- 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
AWS Technologies: Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Amazon SageMaker, Amazon Athena, AWS Step Functions
Additional responsibilities include:
- 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
- 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
- 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.
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