welocalize

SeniorProjectManager-GenerativeAIDataOperations

India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Project Manager - Generative AI Data Operations at welocalize. Skills: Portfolio delivery, Capacity planning, Vendor management, Quality consistency. Oversees multi-project portfolios for AI training data programs. Leads delivery and scale: capacity planning, vendor management, process automation”

What You'll Achieve.

Ensures quality is consistent across projects; Drives performance improvements; Protect financial outcomes; Owns outcomes for a portfolio of small/medium projects

Industry & Context.

Problems you'll solve

Risk, issue & change management; Root-cause analysis; Escalate high-impact items with options and impact

Eligibility Requirements

Remote environment

What They're Looking For.

Must Have

2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields, Portfolio planning and governance across several projects at once, Clear communication with senior clients and internal runs planning and QBR-style reviews, Sound judgment on scope, time, cost, and quality trade-offs, Negotiation and escalation to resolve risks, issues, and change, Coaching guides P1 PMs and C2–C3 Coordinators, Comfortable working with global, distributed teams (intermediate to advanced English)

Nice to Have

Background in capacity planning, vendor coordination, and quality experience piloting or scaling process automation is a plus, use of spreadsheets, PM/task boards, and basic familiarity with SQL/ETL concepts is a plus, Near-native English with writing and editorial skills, Hands-on experience with generative AI tools (text, voice, or video), Background in QA testing, rubric design, or AI safety/ethics evaluation, Familiarity with data-annotation platforms and model-evaluation tools, Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required), Able to work independently and manage workflows effectively in a remote environment, Multilingual ability beyond English

What You'll Do.

Oversees multi-project portfolios for AI training data programs, Leads delivery and scale: capacity planning, vendor management, process automation, Ensures quality is consistent across projects, Drives performance improvements, Plans work jointly with Sr.

Quality Analyst, Oversees portfolio of programs delivering Generative AI data operations, Plan and run group of projects end-to-end, Set priorities, milestones, and handoffs across time zones, Run cadence (status, risk, exec updates), Align scope and budget with leads, Forecast and secure rater/annotator balance shifts, Partner with Sr.

Quality Analyst on acceptance criteria, Identify manual pilot automation with Ops Tech, Scale what works, Set expectations, SLAs, and review performance, Drive improvements or changes as needed, Build and track budgets, burn, and manage change orders, Lead root-cause and action escalate high-impact items, Lead planning and QBR-style explain results, Coach P1 PMs and C2–C3 Coordinators, Ensure data handling, privacy, and access controls are followed, Gather feedback, provide training and coaching, Foster team cohesion through team-building activities, Conduct performance reviews, Support staffing and retention efforts, Collaborate with PST, Finance and recruiters for onboarding, Maintain clear communication and updated SOPs, Work closely with recruiting team to manage hiring efforts, Review, evaluate, and select qualified candidates, Decide on next steps (assessments, interviews, client presentation).

How You'll Work.

Team & Collaboration

Cross-functional coordination; Work jointly with Sr. Quality Analyst; Partner with Sr. Quality Analyst on acceptance criteria; Identify manual pilot automation with Ops Tech; Collaborate with PST, Finance and recruiters; Work closely with the recruiting team; Joint planning and shared responsibility for quality and client outcomes

Communication Scope

Clear communication with senior clients and internal; Clear terms

Process & Methodology

Portfolio planning and governance, Set priorities, milestones, and handoffs, Manage change orders, Manage workflows effectively

Full Job Description

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 [[email protected]](mailto:[email protected]) 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_](https://www.welocalize.com/security-compliance/privacy-policy/) _**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 f

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