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Portfolio Lead - Data & AI
LABUR is partnering with a client to identify a Portfolio Lead with hands-on experience supporting Data & AI programs. This is not a generalist portfolio role - the ideal candidate brings direct project and portfolio delivery experience within AI and Data teams, a strong working knowledge of Agile and DevOps delivery models, and familiarity with the platforms and tooling commonly used across data engineering, analytics, and AI/ML environments. This role provides portfolio-level coordination and oversight, partnering closely with program leads, IT PMO, and senior leadership to maintain alignment, drive transparent reporting, and support governance across the Data & AI portfolio.
Responsibilities
- Coordinate and oversee activities across Data & AI programs and projects at the portfolio level.
- Partner with program and project leads to maintain priorities, plans, milestones, status reporting, risks, issues, and dependencies.
- Consolidate portfolio updates and prepare clear, concise reporting for IT PMO and senior leadership.
- Support annual planning, budgeting, forecasting, resource management, contractor renewals, and vendor activities across the portfolio.
- Coordinate portfolio intake, governance, and prioritization processes to ensure alignment with Data & AI and broader organizational objectives.
- Identify cross-project risks, dependencies, and resource constraints, and collaborate with the appropriate teams to drive resolution.
- Help establish and continuously improve portfolio management processes, tools, templates, and reporting standards.
- Facilitate coordination across business stakeholders, IT teams, project managers, vendors, and Data & AI leadership.
Qualifications
- Demonstrated portfolio or project delivery experience embedded within Data, Analytics, or AI/ML teams.
- Practical experience operating within Agile and DevOps delivery models in a data or AI context.
- Familiarity with platforms and tooling commonly used in data engineering, analytics, and AI/ML delivery (e.g., cloud data platforms, ML/AI services, CI/CD pipelines, orchestration tools).
- Strong skills in status reporting, risk and dependency tracking, and stakeholder communication.
- Experience supporting portfolio governance, intake, and prioritization processes.
- Ability to work cross-functionally with technical teams, business stakeholders, vendors, and leadership.
Compensation:
$80-$90/hr - Dependent on fit and experience.