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About the Role
The Technical Project Manager supports a data engineering initiative and an artificial intelligence (AI) adoption program within an enterprise environment. This role is responsible for the planning, coordination, requirements gathering, business analysis, specification development, project monitoring, and system implementation of moderate to complex data solutions. Acting as a vital facilitator, the manager ensures alignment between business, engineering, data, and AI stakeholders while managing cross-functional timelines and deliverables.
Responsibilities
- Develop, maintain, and execute comprehensive project plans, defining project scope, operational objectives, milestones, timelines, and success metrics.
- Conduct detailed resource planning, project budgeting, financial forecasting, and fiscal status reporting.
- Independently execute a variety of complicated and creative tasks.
- Support data engineering projects and AI/ML adoption programs by tracking deliverables.
- Ensure alignment between business partners, data engineers, and AI stakeholders.
- Oversee the planning, modeling, and delivery of data architecture, data modeling, and data warehousing initiatives.
- Facilitate big data, business intelligence, and analytics projects within complex, cloud-enabled enterprise environments.
- Utilize knowledge of SQL, database technologies, and cloud platforms to assist in technical project planning, estimation, and issue resolution.
- Coordinate cross-functional teams, external vendors, analysts, and business partners to manage timelines and execution schedules.
- Utilize project management tools to track and report on deliverables.
- Conduct requirement gathering sessions, document specifications, author project charters, and log post-implementation lessons learned.
Requirements
- 10+ years of experience leading technical projects or programs in data, analytics, and cloud environments.
- 10+ years of experience leading data architecture, data modeling, and data warehousing initiatives.
- 10+ years of experience managing business intelligence, big data, and analytics projects in complex enterprise environments.
- 10+ years of experience supporting healthcare data initiatives.
- 10+ years of working knowledge of SQL and database technologies.
- 10+ years of experience translating complex technical and database concepts for business and executive audiences.
- 10+ years of experience managing cross-functional teams, external vendors, and complex project timelines.
- 10+ years of experience collaborating with data engineers, software developers, analysts, and business partners.
- 10+ years of experience defining project scopes, objectives, milestones, timelines, and success metrics.
- 10+ years of experience managing project budgets, forecasting, resource planning, and financial status reporting.
- 10+ years of experience utilizing project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
- 10+ years of experience authoring detailed project plans, charters, schedules, and lessons learned.
- 10+ years of working knowledge of cloud platforms, data systems, or enterprise-class applications.
- 10+ years of experience exhibiting a proactive leadership style.
- Active Project Management Professional (PMP) certification.
Skills
- Project planning and strategy
- Resource planning and budgeting
- Data engineering and AI/ML adoption support
- Data architecture and modeling
- Data warehousing
- Big data and business intelligence
- SQL
- Cloud platforms
- Technical estimation
- Requirement gathering
- Stakeholder management
- Jira
- Azure DevOps
- MS Project
- Smartsheet
- Written and verbal communication
- Facilitation and consulting
- Negotiation
Location
- Austin, TX
Work Type
- Flexible work from home options
Experience Level
- Senior Level (10 or more years of experience)
Salary/Compensations
- Competitive salary