Position Overview
We are seeking an experienced Technical Project Lead to support a data engineering project and AI adoption program. This role will work closely with a Technical Project Manager and coordinate activities across business, data engineering, platform engineering, analytics, cloud, and AI teams.
The Project Lead will be responsible for project planning, requirements gathering, business analysis, deliverable tracking, risk management, status reporting, and implementation support for moderate to complex technology initiatives.
The ideal candidate will have extensive experience leading enterprise data, analytics, cloud, data architecture, and data warehousing projects. Strong communication, organization, and cross-functional leadership skills are essential.
Key Responsibilities
- Coordinate technical projects involving data engineering, cloud platforms, analytics, and AI adoption.
- Define project scope, objectives, deliverables, milestones, timelines, and success measures.
- Facilitate requirements-gathering sessions with business and technical stakeholders.
- Develop and maintain project plans, schedules, charters, status reports, and supporting documentation.
- Track project deliverables, dependencies, risks, issues, decisions, and action items.
- Coordinate cross-functional teams, including data engineers, developers, architects, analysts, vendors, and business partners.
- Support data architecture, data modeling, data warehousing, business intelligence, and analytics initiatives.
- Manage project budgets, forecasts, resource plans, and financial status reporting.
- Communicate technical information clearly to business leaders, executives, and nontechnical stakeholders.
- Support platform engineering and data pipeline initiatives in cloud and enterprise environments.
- Ensure projects remain aligned with business objectives, technical standards, security requirements, and data governance expectations.
- Identify project risks and proactively coordinate corrective actions.
- Prepare project closure documentation, lessons learned, and implementation reports.
- Work independently while managing multiple priorities and complex project timelines.
Required Qualifications
- Active Project Management Professional certification is mandatory. The PMP certification must be clearly listed on the resume.
- At least 10 years of experience leading technical projects or programs involving data, analytics, cloud platforms, or enterprise technology.
- At least 10 years of experience leading data architecture, data modeling, or data warehousing initiatives from planning through implementation.
- Experience managing business intelligence, big data, and analytics projects in complex enterprise environments.