Overview
About the Role
Key Responsibilities
- Lead client engagements for Databricks platform implementations and migrations from legacy systems
- Apply Agile methodologies to manage project delivery, ensuring iterative value creation and continuous improvement
- Develop and maintain project plans, timelines, and resource allocations using modern tracking tools and approaches
- Manage project dependencies, risks, and issues with sophisticated tracking mechanisms
- Serve as the primary point of contact between client stakeholders and delivery teams
- Collaborate with technical teams to ensure solutions meet client requirements and adhere to best practices
- Conduct regular status meetings and provide transparent reporting on project progress
- Manage project scope, timeline, and budget to ensure successful delivery within constraints
- Identify and mitigate project risks proactively
- Drive client satisfaction throughout the engagement lifecycle
- Identify opportunities for additional services and project extensions
- Facilitate knowledge transfer to client teams
- Document project outcomes, lessons learned, and best practices
Qualifications
- 6+ years of experience managing data projects, with a focus on Agile delivery methodologies
- Proven track record of successfully implementing data solutions in the healthcare industry
- Experience with Databricks platform implementations and migrations from legacy systems
- Strong understanding of modern data architecture, including Lakehouse concepts
- Expertise in Agile project management frameworks (Scrum, Kanban, SAFe)
- Experience with modern project tracking tools and dependency management approaches
- Excellent client relationship management skills
- Strong communication and presentation abilities at all organizational levels
- Ability to translate complex technical concepts into business value
- Experience managing cross-functional teams
- Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred
- Professional certifications such as PMP, PMI-ACP, CSM, or equivalent
Technical Knowledge
- Basic understanding of Databricks platform and ecosystem
- Modern data architecture principles
- Agile project management methodologies and tools
- Data migration strategies and approaches
- Cloud platforms (AWS, Azure, GCP)
- Data engineering and analytics workflows
- Project tracking and dependency management tools
- Risk management frameworks
- Budget and resource management