Welocalize

ProjectCoordinator-GenerativeAIDataOperations

India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Project Coordinator - Generative AI Data Operations at Welocalize. Skills: Process management, Cross-functional coordination, Operational metrics. Build and drive critical operational processes. Manage and oversee daily operations”

What You'll Achieve.

Ensure day-to-day delivery of customer commitments; Maintain the highest quality standards; Achieve company objectives and KPIs

Industry & Context.

Problems you'll solve

Creative problem-solving

What They're Looking For.

Must Have

Advanced English skills, Bachelor's degree in an analytics-heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business, Minimum of 2-4 years of experience in an operations role and/or a top-tier consulting firm, Excellent communication skills, both verbal and written, 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 Excel skills, Analytical, planning, and process improvement capability

Nice to Have

Experience with reading SQL or demonstrated analytical skills

What You'll Do.

Build and drive critical operational processes

Manage and oversee daily operations

Create an effective feedback loop

Collaborate with cross-functional teams

Conduct periodic audits

Provide support in onboarding and training

Analyze operational data and metrics

Participate in process optimization projects

Assist in financial budgeting and reporting

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams, including Customer Operations, Product Operations, Product Managers, and more to achieve company objectives and KPIs.; Create an effective feedback loop between the front line, product, strategy, and customers.

Communication Scope

Excellent communication skills, both verbal and written

Process & Methodology

Process management, Resource planning

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:**_ As an Operations Specialist, you will play a pivotal role in the day-to-day 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 a hands-on approach, strategic thinking, and exceptional organizational skills. You will be an early member of our operations team and have the opportunity to shape our most critical operational processes. MAIN TASKS & RESPONSIBILITIES * Build and drive critical operational processes to ensure day-to-day delivery of customer commitments. * Manage and oversee various aspects of daily operations, including inventory, procurement, logistics, and customer service. * Create an effective feedback loop between the front line, product, strategy, and customers. * Collaborate with cross-functional teams, including Customer Operations, Product Operations, Product Managers, and more to achieve company objectives and KPIs. * Conduct periodic audits to ensure compliance with standards and regulations. * Provide support in the onboarding and training of new employees. * Analyze operational data and metrics to identify areas for improvement. * Participate in process optimization projects and come up with creative solutions to bottlenecks. * Assist in financial budgeting and reporting. REQUIREMENTS * Advanced English skills. * Bachelor's degree in an analytics-heavy major (e.g., Engineering or Economics) and

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