Engagement Manager - Modern Data Platform Implementation

Overview

About the Role

• 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

• 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

• 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