Asiago, Veneto, Italy · Remote Solely
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Skills: Portfolio management, Generative AI, Capacity planning, Vendor management, Process automation
Asiago, Veneto, Italy · Remote Solely
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] subject Workday Candi…
Skills: Portfolio management, Generative AI, Capacity planning, Vendor management, Process automation
Asiago, Veneto, Italy · Remote Solely
Location: Remote from Europe Reporting to: Head of Back-end Development Your Mission Analyse business requirements, functional specs, and user stories to design comprehensive test cases and scenarios. Perform end-to-end …
Skills: Manual Testing, Playwright, SQL, API Testing, Postman
Asiago, Veneto, Italy · Remote OK
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Skills: Prompt Engineering, Large Language Models, RLHF, Data Labeling, Python Scripting
Asiago, Veneto, Italy · Hybrid
\n Responsibility Hands-on develop trading infrastructure in a team and cover production support and troubleshooting. Participate the full life cycle of trading software developments with Quant Traders Requirements 1+ ye…
Skills: Python, Rust, Trading Infrastructure, Production Support, Troubleshooting
Asiago, Veneto, Italy • Remote Solely
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The Senior Project Manager oversees multi-project portfolios for AI training data programs, focusing on delivery, capacity planning, and vendor management. They also drive process automation, ensure quality consistency, and manage financial outcomes while coaching team members.
Candidates must have a bachelor's degree and 2–3 years of experience leading multi-project portfolios in AI data or content review. Strong skills in portfolio governance, capacity planning, and communication with senior stakeholders are required.
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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).
Additional Job Details:
Education
Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
Experience
2–3 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
Skills
Portfolio planning and governance across several projects at once
Clear communication with senior clients and internal leaders; runs planning and QBR-style reviews
Strong use of spreadsheets, PM/task boards, and basic BI; familiarity with SQL/ETL concepts is a plus
Sound judgment on scope, time, cost, and quality trade-offs
Negotiation and escalation to resolve risks, issues, and change
Coaching mindset; guides P1 PMs and C2–C3 Coordinators
Comfortable working with global, distributed teams (intermediate to advanced English)
Additional Qualifications (P1+)
Near-native English with strong 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
Scope & Autonomy (P3 Alignment)
Owns outcomes for a portfolio of small/medium projects or a large multi-workstream program
Works independently; defines delivery approach and engages leaders for non-standard items
Joint planning and shared responsibility for quality and client outcomes with the Sr. Quality Analyst
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.
Offices: 136 Madison Avenue, 6th Floor, New York, NY 10016, US · Strada Henri Barbusse 44-46, Cluj-Napoca, Cluj 400616, RO · Via Alserio, 22, Milan, Lomb. 20159, IT · 123 NE 3rd Ave, Portland, Oregon 97232, US
There are currently 5 open data & analytics positions in Asiago, Italy listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Welocalize, Bet On Talent, Binance, among others. Browse the listings above to see every active employer.
Yes — 5 of the 5 open data & analytics positions offer remote or hybrid work (4 remote, 1 hybrid).
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