Technical Project Manager Data Engineering/Healthcare

We are seeking an experienced and results-driven Senior Technical Project Manager to lead the successful execution of data engineering projects in the Healthcare domain. This role involves managing a cross-functional team of Data Engineers and Product Managers ensuring delivery of scalable, compliant, and high-performing data platforms and solutions. The ideal candidate brings deep experience in data platform delivery, strong technical acumen in modern data stacks (Snowflake, Python, cloud platforms), and a working knowledge of healthcare data standards, including FHIR.  

Requirements 

• 2+ years of experience in technical project/delivery management roles, with at least  6+ months  managing Data Engineering or Analytics teams.  
• At least 6 months of experience in the Healthcare or Life Sciences industries is required. 
• Previous software development experience is required. 
• Proven track record of delivering complex data platforms and pipelines using Snowflake, Databricks, AWS, Python, and SQL.  
• Solid understanding of ETL/ELT pipelines, data modeling, data lake/warehouse architecture, and cloud-based analytics stacks.  
• Strong familiarity with Agile frameworks (Scrum, SAFe) and delivery tooling (e.g., JIRA, Confluence, Azure DevOps).  
• Exceptional stakeholder management, team leadership, and communication skills.  
• Ability to communicate technical issues and solutions to both technical and non-technical audiences. 

• Excellent communication skills in English (minimum Upper-Intermediate level). 

   

Nice-to-haves 

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. 
• Certifications such as PMP, CSM, AWS Certified Data Analytics, or Snowflake SnowPro Core.  
• Experience managing teams across time zones or geographies.  
• Exposure to AI/ML solution delivery is a plus. 
• Experience in the Healthcare industry , including working with clinical and claims data, and applying HIPAA/GDPR and PHI standards. 

Soft Skills 

• Strategic mindset with a hands-on approach to problem-solving.  
• Strong leadership presence with the ability to influence across technical and business teams.  
• Resilient under pressure with excellent conflict resolution and prioritization skills.  
• Passion for healthcare innovation and data-driven decision making. 

Core Responsibilities 

• Lead the end-to-end delivery of data engineering initiatives across the organization, ensuring alignment with business goals, quality standards, and timelines.  
• Promote Agile best practices, implement project management frameworks (Scrum, Kanban, SAFe, or hybrid), and drive continuous delivery.  
• Manage, mentor, and coordinate a team of Data Engineers and technical contributors focused on cloud-based data platforms and healthcare analytics solutions.  
• Own the planning, execution, and governance of projects involving Snowflake, Databricks, Python, FHIR, and related tools.  
• Drive collaboration between stakeholders, including Product Managers, Engineering leadership,  Healthcare SMEs, and DevOps/Infrastructure teams.  
• Translate complex business requirements into scalable data solutions, overseeing architecture decisions and implementation strategy.  
• Proactively identify delivery risks, dependencies, and roadblocks, and implement mitigation strategies.  
• Provide regular updates to leadership on progress, risks, and key delivery metrics. 

What we offer   

• Continuous learning and career growth opportunities. 
• Professional training and English/Spanish language classes. 
• Comprehensive medical insurance. 
• Mental health support. 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more. 
• Flexible working hours. 
• Inclusive and supportive culture.