Job Title: Technical Project Manager (Data Engineering & AI) - 14+ yrs Exp
Location: Austin ,TX (Hybrid) (Local candidates Only)
We are currently seeking candidates who meet the following qualifications:
Key Responsibilities
- Lead the planning, coordination, and execution of moderate to complex technical projects.
- Gather business and technical requirements and translate them into project deliverables.
- Perform business analysis and develop functional and technical specifications.
- Develop and maintain project plans, schedules, milestones, and success metrics.
- Monitor project progress and provide regular project status reporting.
- Coordinate system implementation activities and ensure successful project delivery.
- Manage cross-functional collaboration between business, engineering, data, platform, and AI teams.
- Track project deliverables, risks, issues, dependencies, and mitigation plans.
- Support platform engineering, data engineering, and AI adoption initiatives.
- Ensure alignment between business stakeholders, engineering teams, and AI program objectives.
- Manage project scope, objectives, timelines, budgets, forecasts, and resource planning.
- Coordinate vendors, internal teams, and external stakeholders.
- Maintain project documentation including charters, schedules, project plans, and lessons learned.
- Support financial tracking and project status reporting.
- Communicate complex technical concepts to business leaders and executive stakeholders.
- Work closely with data engineers, developers, analysts, architects, and business partners.
- Support enterprise data, analytics, cloud, and digital transformation initiatives.
- Ensure adherence to organizational project management standards and best practices.
Required Qualifications
- PMP (Project Management Professional) certification is required and must be listed on the resume.
- 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.
- Experience managing business intelligence, big data, and analytics projects within complex enterprise environments.
- Experience supporting healthcare data initiatives; familiarity with FHIR, CCDA, and HL7 standards 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 explain complex technical concepts to business and executive audiences.
- Proven leadership managing cross-functional teams, vendors, and complex project timelines.
- Strong collaboration skills working with data engineers, developers, analysts, architects, and business stakeholders.
- Experience defining project scope, objectives, milestones, timelines, and success metrics.
- Experience managing project budgets, forecasting, resource planning, and financial reporting.
- Proficiency with project management tools such as Jira, Azure DevOps, Microsoft Project, or Smartsheet.
- Strong documentation skills for project plans, project charters, schedules, status reports, and lessons learned.
- Working knowledge of cloud platforms, enterprise applications, and data systems.
- Ability to work independently with exceptional attention to detail.
- Strong organizational, planning, analytical, and problem-solving skills.
Preferred Qualifications
- Experience working in healthcare or other highly regulated environments.
- Knowledge of compliance, security, and data governance concepts.
- Healthcare industry experience.
- Additional project management certifications such as PgMP, PMI-ACP, SAFe, or equivalent.
- Understanding of information management principles, IT processes, Software Development Life Cycle (SDLC), enterprise architecture, and enterprise technologies.
- Strong consulting, facilitation, and stakeholder management skills.
- Customer-focused communication skills with the ability to engage stakeholders at all organizational levels.
- Demonstrated proactive leadership with strong attention to detail and the ability to work independently.
- Experience supporting AI, advanced analytics, or digital transformation initiatives at the project or program level.
- TOGAF, Cloud Solution Architecture, Microsoft Azure, AWS, or Google Cloud Platform (Google Cloud Platform) certifications are a plus.
If you meet these qualifications, please submit your application via the link provided on LinkedIn.
Kindly do not call the general line to submit your application.
