Senior Project Manager - Generative AI Data Operations

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 reviews; explain results, risks, and next steps in clear terms.

• Team enablement: Coach P1 PMs and C2–C3 Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line management required).

• Compliance & security: Ensure data handling, privacy, and access controls are followed across all workstreams.

• People Management: Gather feedback, provide training and coaching, foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts. Additionally, collaborate with PST, Finance and recruiters for onboarding, offboarding, and addressing employee needs, while maintaining clear communication and updated SOPs to guide team.

• Collaboration with Recruitment:Work closely with the recruiting team to manage hiring efforts by communicating requirements (e.g., language needs), upcoming projects, and candidate statuses. Review, evaluate, and select qualified candidates from recruiters and decide on next steps (e.g., assessments, interviews, or client presentation).