Engagement Manager - Modern Data Platform Implementation
Job Summary
Job Description
This role requires a Senior Engagement Manager with 6+ years of experience in leading data projects using Agile methodologies, specifically focusing on Databricks platform implementations and migrations within the healthcare industry. Responsibilities include leading client engagements from inception to completion, managing project plans and resources, handling dependencies and risks, serving as the primary client contact, collaborating with technical teams, ensuring solutions meet requirements, providing transparent reporting, managing scope/budget, identifying opportunities for additional services, facilitating knowledge transfer, and documenting project outcomes. The ideal candidate will possess strong client relationship management, communication, and presentation skills, and be adept at translating complex technical concepts into business value.
Must have:
- 6+ years data project management experience
- Agile delivery methodologies expertise
- Databricks platform implementation experience
- Healthcare industry data project experience
- Modern data architecture understanding
- Excellent client communication skills
Good to have:
- Advanced degree
- PMP, PMI-ACP, CSM certifications
- Experience with AWS, Azure, GCP
9 skills required
Job Details
Overview
We are seeking a Senior Engagement Manager with proven experience in leading data projects using Agile methodologies. This role requires expertise in managing Databricks platform implementations and migrations, with a focus on healthcare industry data projects. The ideal candidate will have a modern approach to tracking and managing dependencies across complex data initiatives.
About the Role
As a Senior Engagement Manager, you will be responsible for ensuring successful delivery of Databricks-based Modern Data Platform implementations. You will lead client engagements from inception to completion, working closely with cross-functional teams to deliver high-value data solutions that meet business objectives and technical requirements.
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
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