Remote Senior AI Data Operations Portfolio Lead

Welo Global

United States

Hybrid

USD 95,000 - 130,000

Full time

14 days+

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Job summary

Welo Data seeks an experienced Program Manager to oversee AI data operation portfolios, ensuring delivery, scale, and quality across multiple projects (collection, labeling, evaluation). You will manage capacity, vendors, and automation initiatives, collaborating with Sr.

Quality Analyst, clients, and distributed teams. You will guide planning, QA, and workflows, drive improvements, and communicate risks and results clearly, while fostering growth and maintaining strong cross-functional

Qualifications

Bachelor’s degree or equivalent in business, operations, data/engineering, or similar.
3+ years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields
Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus.

Responsibilities

Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones.
Run cadence (status, risk, exec updates); align scope and budget with account and operations leads.
Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed.
Build and track budgets, burn, and margins; manage change orders to protect financial outcomes.
Lead root-cause and action plans; elevate high-impact items with options and impact.
Lead planning and QBR-style reviews; explain results, risks, and next steps in clear terms.
Coach P1 PMs and C2-C3 Coordinators on planning, QA, and tools; support onboarding and skills growth.
Ensure data handling, privacy, and access controls are followed across all workstreams.
Gather feedback, provide training and coaching, foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts.