Technical Project Manager Data Engineering Data Science - Select Minds LLC

• HYBRID
• Competitive salary
• Opportunity for advancement
• 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
• 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
• 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.