Senior Project Manager - Generative AI Data Operations

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here 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: Lead planning and QBR-style