Lead Project Data Engineering Manager
- Lead day-to-day management of Medicaid encounter workstreams, including workplan ownership, milestone tracking, and risk escalation with recommended mitigation actions.
- Coordinate weekly status reporting across workstreams, review submissions for completeness and accuracy, and support leadership review prior to delivery.
- Manage staffing and delivery coordination, including competing priorities, team burn monitoring, and onboarding support for new practitioners.
- Facilitate client and internal meetings, including recurring status meetings and ad hoc working sessions, and support invoice review and update coordination for leadership approval.
- Provide technical and cross-portfolio support through deliverable review, SQL and code peer review, practitioner coaching, and promotion of data engineering best practices.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or a similar quantitative field
- 6+ years of experience in data engineering, data management, or technology delivery
- 3+ years of experience leading project workplans, milestone tracking, status reporting, and risk management for data or technology programs
- 2+ years of experience using Structured Query Language (SQL) for data analysis, validation, or code review
- 2+ years of experience supporting Medicaid, healthcare, or public sector data programs
- Ability to travel 15-30%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Master's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or Public Health
- 2+ years of experience with Snowflake or another cloud data platform
- 2+ years of experience with Python, PySpark, or data pipeline development
- 2+ years of experience with Agile delivery methods, including sprint planning and backlog tracking
- 2+ years of experience leading client-facing status meetings and executive reporting for technology programs
- 1+ year of experience coaching or supervising practitioners on data engineering or analytics delivery
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