As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
As a Senior Project Manager, you will play a pivotal role in the day-to-day AI Data operations of the company, driving revenue and ensuring that customer commitments are met on time while maintaining the highest quality standards. This position will require strategic thinking, client relationship focus and exceptional organizational skills. You will be a senior member of our operations team and have the opportunity to shape our most critical operational processes.
Responsibilities Manage all task assignments and workflows in required tools, ensuring adequate supply of talent Ensure careful budget oversight, ensuring that all tasks assigned to talent have specific throughput requirements or fixed payment levels. Manage exceptions as necessary, ensuring that talent have proper justification for any time or cost overrun. Collaborate with Engineering, Quality, Talent, Solutions, Sales, Client teams and Manager to design project schedules. Setup, launch, close and invoice projects in required tools Provide schedule oversight for projects, flagging tasks and deliveries that are at risk and working to remediate issues before they threaten delivery or quality. Collaborate with cross-functional teams to retrain, remove or reposition talent in order to ensure that all individuals working on a project can be relied upon to perform at an acceptable level. Monitor Power BI dashboards and engage with global production team to ensure that there are sufficient resources available to claim available tasks. This may including providing directives to in-market PMs to "chase" talent so that tasks are picked-up, or engaging with Talent to add more resources to the pool. Coordinate the engagement life cycle for talent, from onboarding, through training and orientation, through task completion, ending in PO generation and off-boarding Manage access of all talent to communications and production platforms, in coordination with IT as necessary. Assist with file management (including adding files to project tasks in Relay, Label Studios, Asana) as necessary to support production Manage all delivery and administrative communications with the client Plan all meetings among internal staff, and between staff and external talent Participate in technical operations, learning and executing standard technical processes in support of client deliveries. Requirements Advanced English skills. Bachelor's degree in an analytics-heavy major (e.g., Engineering or Economics) and/or a graduate degree in Operations, Engineering, Economics, or Business. Minimum of 4 years of experience in an operations role and/or a top-tier consulting firm. Excellent communication skills, both verbal and written. Strong organizational and multitasking skills. An action-oriented mindset that balances creative problem-solving with the scrappiness to ultimately deliver results. Proficiency in Microsoft Office Suite, with strong Excel skills. Analytical, planning, and process improvement capability. Other relevant skills Experience in the AI Data Services industry is preferred Experience with reading SQL or demonstrated analytical skills Experience with resource management tools (e.g. Workday)
