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Job Responsibilities:
Oversees multi-project portfolios for AI training data programs. Leads delivery and scale: capacity planning, vendor management, and process automation. Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst. Oversees a portfolio of programs that deliver and scale Generative AI data operations, including capacity planning, vendor management, and process automation.”
Key Responsibilities
Portfolio delivery: Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones.
Governance & reporting: Run cadence (status,



risk, exec updates); align scope and budget with account and operations leads.
Capacity planning: Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
Quality consistency: Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
Process automation & tooling: Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
Vendor management: Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed.
Financial control: Build and track budgets, burn, and margins; manage change orders to protect financial outcomes.
Risk, issue & change: Lead root-cause and action plans; escalate high-impact items with options and impact.
Client and stakeholder management: Le

📌 Senior Project Manager (Asiago)
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📍 Asiago