Project Manager (Non Tech)

As a Project Manager, you will oversee projects focused on AI/LLM OR knowledge processes specific to legal, life sciences, and medical domains. You will be responsible for coordinating project activities, managing resources, and ensuring successful project delivery in alignment with industry-specific requirements and standards. This role requires a deep understanding of data engineering principles, knowledge process outsourcing, and industry-specific challenges and opportunities.

Key Responsibilities:

• Collaborate with stakeholders to define project scope, objectives, and deliverables, taking into account industry-specific requirements and standards.
• Develop comprehensive project plans, timelines, and resource allocation strategies tailored to the unique needs of KPO and data engineering projects in the LLM industry.
• Lead cross-functional project teams in executing project tasks according to established plans, ensuring adherence to quality standards and timelines.
• Monitor project progress, identify potential risks and issues, and implement mitigation strategies to keep projects on track and within scope.
• Utilize industry-specific tools and methodologies to manage and track project deliverables, milestones, and dependencies.
• Lead initiatives to streamline workflows, optimize resource utilization, and enhance project efficiency and effectiveness.
• Communicate effectively with stakeholders to manage expectations, solicit feedback, and address concerns throughout the project lifecycle.
• Allocate resources effectively, including data engineers, domain experts, and project support teams, to ensure optimal project performance and delivery.
• Collaborate with recruitment leads to address staffing needs and skill gaps, leveraging both internal and external talent as necessary.
• Define and implement quality assurance processes and standards specific to data engineering and KPO projects in the LLM industry, ensuring accuracy, reliability, and compliance with industry regulations.
• Conduct regular reviews and audits of project deliverables to identify areas for improvement and ensure alignment with stakeholder expectations.
• Identify opportunities for process improvement, innovation, and automation within AI/LLM and data engineering projects, leveraging industry best practices and emerging technologies.

Skills/Experience/Qualifications:

• Proven experience as a Project Manager, with a focus on data engineering, knowledge process outsourcing domain.
• Strong leadership, communication, and stakeholder management skills, with the ability to build consensus and drive results in a complex and dynamic environment.
• Proficiency in project management tools and methodologies, as well as industry-specific software and technologies.