Job Title: Project Lead (Data Engineering) Location: Austin, TX Duration: Long Term
Job Description
Experience leading technical projects or programs in data, analytics, and cloud environments.
Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.
Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.
Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.
Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.
Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.
Proven leadership skills managing cross-functional teams, vendors, and complex project timelines.
Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.
Experience defining project scope, objectives, milestones, timelines, and success metrics.
Experience with project budgeting, forecasting, resource planning, and financial status reporting.
Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
Strong documentation skills for project plans, charters, schedules, and lessons learned.
Working knowledge of cloud platforms, data systems, or enterprise applications.
Proactive leadership style with strong attention to detail and ability to work independently.
Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.
PMP, PgMP, PMIACP, SAFe, or similar project management certification preferred.
Healthcare industry experience preferred.
Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.
Strong consulting and facilitation skills.
Customer-focused communication skills with the ability to engage all levels of the organization.
Proactive leadership style with strong attention to detail and ability to work independently.
Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.
TOGAF, Cloud Solution Architecture, or Azure/AWS/Google Cloud Platform certifications preferred
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