Project Manager

Overview:

The Project Manager is a results-driven and innovative project leader within DataForce. The Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners. The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects.

Responsibilities:

• Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs.
• Develop and maintain project plans, workflows, guidelines, and resource materials
• Provide effective analysis and reporting of project performance
• Track, monitor, and control project financial, timeline and quality performance
• Organize and deliver a Post Project Review
• Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues
• Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support
• Serve as a primary point of contact for clients and both internal and external stakeholders
• Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions
• Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth
• Assist in the hiring process of new team members and train them
• Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements.

Required Skills and Competencies:

• Exceptional leadership, interpersonal, and relationship-building skills
• Effective written and verbal communication skills
• Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects
• Established expertise in project management skills and methodologies
• Outstanding teamwork and collaboration skills
• Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills
• Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products
• Solid understanding of data collection, annotation, and transcription activities in an AI setting and linguistic tools

Required Experience and Qualifications:

• Degree in linguistics, languages or related field (master level preferred)
• Experience in text data analysis to assess patterns in language datasets
• 5+ years' relevant project management experience or experience in other roles with similar responsibilities (including design and set-up of project workflows, materials and management of project finances)
• Experience in customer-facing activities (including managing client communications directly and running client meetings)
• Experience managing AI ML data-related projects (including speech, text and computer vision data collection, data curation and annotation projects)
• Experience managing projects with crowdsourcing and remote resourcing solutions
• Demonstrated success in end-to-end management of transcription projects
• Experience working with a high-performance, collaborative, and constructive peer group
• Ability to apply technology in solving business problems
• Demonstrated business English language proficiency

Preferred Skills and Experience:

• PMP or equivalent certification
• Experience working in a multinational/multicultural virtual working environment
• Proficiency in working with support ticketing systems
• Experience in working in a cross-functional/matrix organization
• Fluency in a language other than English language
• Knowledge of scripting or command line tools is an advantage.