Healthcare Data & Analytics Project Manager Enterprise Data Project Manager:
This role is responsible for planning, coordination, business analysis, project monitoring, stakeholder communication, requirements gathering, and implementation oversight for enterprise-scale data and analytics solutions. The candidate will work closely with technical project managers, data engineers, architects, business stakeholders, and AI teams to ensure successful delivery of data-driven initiatives.
The position requires strong leadership experience managing healthcare data initiatives, enterprise analytics programs, cloud-based projects, and cross-functional technical teams. Candidates should possess excellent communication, budgeting, planning, and stakeholder management skills, along with familiarity with healthcare compliance and modern enterprise technologies.
Key Responsibilities:
Lead enterprise data, analytics, cloud, and AI-driven technical projects from planning through delivery.
Coordinate cross-functional teams including architects, data engineers, developers, analysts, vendors, and business stakeholders.
Manage requirements gathering, business analysis, project planning, implementation, and status reporting activities.
Support healthcare data engineering and AI adoption initiatives within enterprise environments.
Define project scope, objectives, milestones, timelines, budgets, and success metrics.
Monitor project risks, dependencies, deliverables, and resource allocation activities.
Facilitate communication between business, technical, and executive stakeholders.
Support data architecture, data modeling, data warehousing, and cloud modernization initiatives.
Maintain project documentation including project plans, schedules, charters, and lessons learned.
Support issue resolution, change management, and project governance processes.
Collaborate with technical teams on platform modernization, analytics, and AI/ML initiatives.
Ensure compliance with healthcare governance, security, and regulatory requirements.
Additional Responsibilities:
Support AI, advanced analytics, and digital transformation programs.
Assist with forecasting, budgeting, and financial status reporting.
Utilize project management tools such as Jira, Azure DevOps, MS Project, and Smartsheet.
Facilitate workshops, executive updates, and stakeholder presentations.
Promote collaboration across technical and business teams.
Support SDLC, enterprise architecture, and governance best practices.
Required Skills:
15%2B years of experience managing enterprise technical projects or programs.
Strong experience leading data analytics, data warehousing, and cloud-based initiatives.
Experience managing business intelligence, big data, and enterprise analytics programs.
Experience supporting healthcare data initiatives and regulated environments.
Knowledge of healthcare interoperability standards such as FHIR, CCDA, and HL7 preferred.
Working knowledge of SQL and database technologies.
Strong leadership and stakeholder management skills.
Experience managing cross-functional teams, vendors, budgets, and timelines.
Strong communication skills with ability to present technical concepts to executive audiences.
Experience with Jira, Azure DevOps, MS Project, or Smartsheet.
Understanding of SDLC, enterprise architecture, governance, and cloud technologies.
Experience supporting AI, advanced analytics, or digital transformation initiatives.
Strong consulting, facilitation, and organizational skills.
Qualifications & Certifications:
Bachelors degree in Information Systems, Computer Science, Business, Healthcare IT, or related field preferred.
PMP Certification is Mandatory and must be listed on the resume.
PgMP, PMI-ACP, SAFe, or similar certifications preferred.
TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications required/preferred.
Healthcare industry experience is mandatory.
Additional Information:
Location: Austin, Texas (Hybrid 2 Days Onsite / 3 Days Remote)
Local Texas candidates only.
Interview Mode: Microsoft Teams