Delivery Manager

Shaip; Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Shaip is seeking a dynamic Project Manager to lead AI/ML data collection and annotation programs. You will steer end-to-end delivery across global teams, balancing strategic planning with hands-on execution.

The role requires 4+ years in AI data projects, strong knowledge of data lifecycle, and experience with Jira/Agile. Excellent communication and ownership mindset are essential to meet client SLAs and drive impact.

Qualifications

• 4+ years of project management experience in AI/ML, data annotation, or data operations companies.
• Strong understanding of the AI data lifecycle – collection, cleansing, annotation, and QA.
• Solid grasp of project management methodologies (Agile/Scrum/Kanban, Jira, Gantt charts).

Responsibilities

• Lead end-to-end project planning and execution for AI data collection and annotation initiatives.
• Collaborate with cross-functional teams including data scientists, annotators, quality analysts, vendors, and product managers.
• Manage timelines, deliverables, quality standards, and stakeholder communication across multiple concurrent projects.
• Define project scope, objectives, and success metrics with both clients and internal teams.
• Proactively identify project risks and implement effective mitigation strategies.
• Prepare and deliver status reports, dashboards, and client updates on a regular basis.
• Leverage generative AI tools (e.g., ChatGPT, Claude, Bard) to enhance productivity, reporting, and team efficiency.
• Ensure alignment with client expectations, SLAs, and compliance requirements.
• Step in as an individual contributor when required to maintain project momentum.

Skills

Project management

Communication

Stakeholder management

Cross-functional collaboration

Ownership mindset

Education

Bachelor's or Master's in Engineering/CS/Business

Tools

Jira

Gantt charts

Generative AI tools

Job description

Shaip.ai is looking for a dynamic and driven Project Manager to lead AI/ML data collection and annotation programs. The ideal candidate will bring hands-on experience in managing AI data lifecycle projects, with strong execution skills and the ability to navigate fast-paced, global environments. This role blends strategic planning with hands-on execution, making it a great fit for professionals who thrive on ownership and impact.

Key Responsibilities

• Lead end-to-end project planning and execution for AI data collection and annotation initiatives.
• Collaborate with cross-functional teams including data scientists, annotators, quality analysts, vendors, and product managers.
• Manage timelines, deliverables, quality standards, and stakeholder communication across multiple concurrent projects.
• Define project scope, objectives, and success metrics with both clients and internal teams.
• Proactively identify project risks and implement effective mitigation strategies.
• Prepare and deliver status reports, dashboards, and client updates on a regular basis.
• Leverage generative AI tools (e.g., ChatGPT, Claude, Bard) to enhance productivity, reporting, and team efficiency.
• Ensure alignment with client expectations, SLAs, and compliance requirements.
• Step in as an individual contributor when required to maintain project momentum.

Required Skills & Experience

• 4+ years of project management experience, ideally in AI/ML, data annotation, or data operations companies.
• Strong understanding of the AI data lifecycle – collection, cleansing, annotation, and QA.
• Solid grasp of project management methodologies (Agile/Scrum/Kanban, Jira, Gantt charts).
• Experience managing global teams and external vendors is highly desirable.
• Proficiency in using generative AI tools to streamline project workflows.
• Excellent communication, organization, and stakeholder management skills.
• High ownership mindset with a proactive, go-getter attitude.
• Prior experience in organizations like Appen, Scale AI, Sama, iMerit etc. is a strong advantage.

Preferred Qualification

• Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or related field.
• Certification in Project Management (PMP, CSM, or equivalent) is a plus.
• Passion for AI, ML, and innovation, with a desire to contribute to impactful projects.