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Job Responsibilities:
Leads a program of AI training data projects at scale. Owns program-level strategy and delivery, manages a cross-functional team, and is the primary owner of the client relationship for the program. Partners closely with the Lead Quality Manager to keep quality consistent and drive continuous improvement across high-volume operations.
Key Responsibilities
Program strategy & planning: Define program goals, roadmap, milestones, and operating model across multiple projects and vendors.
Team management: Lead a delivery team (PMs, Coordinators) with clear goals, capacity plans, coaching, and performance feedback.
Client ownership: Act as the day-to-day executive contact; run governance, planning, and QBR-style reviews; align scope, priorities, and change.
Quality partnership: Co-own quality outcomes with the Manager of Quality; align on guidelines, audits, acceptance criteria, and corrective actions.
Scale & throughput: Plan and secure rater/annotator capacity; optimize shifts, handoffs, automation, and tooling to meet high-volume targets.
Financial stewardship: Build and manage budgets, margins, and change orders; ensure commercial and delivery commitments stay aligned.
Risk, issue & change control: Maintain program RAID; lead root-cause analyses and remediation; escalate high-impact items with options and impact.
Process improvement & automation: Standardize SOPs, templates, and dashboards; pilot and scale automation with Ops Tech.
Compliance & security: Ensure policy adherence for data handling, privacy, and platform access across the program.
Stakeholder management: Coordinate with Sales/Account, Quality, Operations, and Vendor Management to meet client and business goals.
Additional Job Details:
Originally posted on Himalayas
