Job Title: Technical Project Manager
Location: Austin, Texas- Hybrid (Onsite 3 days/week)
Interview Mode- Inperson/MS Teams
Job Summary
We are seeking an experienced Technical Project Manager to lead and support the delivery of moderate to complex data-driven and AI-enabled business solutions. This role is responsible for end-to-end project execution, including planning, coordination, requirements gathering, business analysis, solution design support, project monitoring, status reporting, and successful system implementation.
The ideal candidate will partner closely with cross-functional teams to drive data engineering and AI adoption initiatives, ensuring alignment between business stakeholders, engineering teams, and analytics/AI functions.
Note: Project Management Professional (PMP) certification is required and must be listed on the resume. Proof of certification may be requested.
Key Responsibilities
- Lead project planning, execution, and delivery for data, analytics, and AI initiatives.
- Coordinate across cross-functional teams, including data engineers, developers, analysts, and business stakeholders.
- Gather and document business and technical requirements, ensuring clarity and alignment.
- Develop and manage project plans, timelines, milestones, and deliverables.
- Monitor project progress, identify risks/issues, and implement mitigation strategies.
- Provide regular status reporting to leadership and stakeholders.
- Support data engineering, platform, and AI/ML adoption efforts.
- Ensure alignment between business goals and technical solutions.
- Manage project budgets, forecasting, and resource allocation.
- Facilitate effective communication between technical and non-technical audiences.
- Maintain comprehensive project documentation, including charters, schedules, and lessons learned.
- Drive adherence to SDLC processes, governance, and best practices.
Required Skills & Qualifications
- 10+ years of experience leading technical projects or programs in data, analytics, and cloud environments.
- Proven experience managing data architecture, data modeling, and data warehousing initiatives.
- Strong background in business intelligence, big data, and enterprise analytics projects.
- Experience working with healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.
- Working knowledge of SQL and database technologies.
- Strong ability to translate complex technical concepts into business-friendly language.
- Demonstrated experience managing cross-functional teams, vendors, and large-scale project timelines.
- Expertise in project scope definition, milestones, timelines, and success metrics.
- Experience with budgeting, forecasting, and financial reporting.
- Proficiency in project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
- Strong documentation and organizational skills.
- Working knowledge of cloud platforms and enterprise systems.
- Excellent leadership, communication, and collaboration skills.
- Ability to work independently with a proactive approach and attention to detail.
- PMP Certification (Required)
Preferred Qualifications
- Experience in healthcare or regulated environments, including compliance and data governance.
- Additional certifications such as PgMP, PMI-ACP, or SAFe.
- Strong understanding of SDLC, IT processes, and enterprise architecture principles.
- Experience in consulting, stakeholder facilitation, and executive communication.
- Exposure to AI, advanced analytics, or digital transformation programs.
- Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform) and related certifications.
- Knowledge of TOGAF or enterprise architecture frameworks.
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