Innodata - Project Manager

- 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.