Technical Project Manager Data Engineering Data Science
Hybrid - US
Technical Project Manager Data Engineering Data Science
Full Time • Hybrid - US
Benefits:
- HYBRID
- Competitive salary
- Opportunity for advancement
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
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
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
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
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
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
About Us
We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
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