Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
Innodata is looking for a Data Delivery Manager to own the execution and delivery of human data solutions for off-the-shelf AI/ML products. This role sits at the intersection of client management and data operations — you'll be the primary driver ensuring projects are delivered on time, to spec, and to the client's satisfaction, while managing competing priorities across internal teams. This is a hands-on, ownership-driven role, — strong execution, client management, and analytical instincts matter the most.
What You’ll Own:
- Take full ownership of assigned client engagements, executing delivery from kickoff through completion
- Build and manage human data (data annotation, labeling, evaluation datasets) for off-the-shelf AI/ML products
- Coordinate cross-functional internal teams (data operations, analysts, SMEs) to keep projects on track
- Understand and translate technical concepts to non-technical stakeholders and vice versa
- Balance competing priorities across multiple clients/projects, proactively identifying and resolving risks
- Use quality metrics, acceptance criteria, and dataset-level analysis to identify gaps and drive improvements
- As bandwidth allows, contribute to process and delivery improvements beyond day-to-day execution
You’ll Thrive in This Role If You Have:
- 4+ years of experience in technical program/project management, delivery management, or data operations within AI/ML, data annotation, or related technology domains
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field
- Experience working in technical settings (does not require a deeply technical background)
- Demonstrated ability to manage and influence cross-functional teams without direct authority; potential to build and lead a team as the practice scales
- Strong attention to detail with a track record of owning client-facing deliverables to exacting specifications
- Strong analytical skills — comfortable working with quality metrics, acceptance criteria, and dataset-level analysis
- Excellent client management, communication, and risk management skills
Preferred Skills:
- Understanding of LLMs, model evaluation, benchmarking, data annotation, and AI/ML data production workflows
- Experience delivering datasets or evaluation assets to AI labs, research organizations, or ML engineering teams
- Exposure to benchmark/eval frameworks, annotation platforms, SME-driven data production, or RLHF/human-feedback workflows
- Working knowledge of Python, SQL, or analytics/BI tools for dataset inspection and metrics reporting
- PMP, Agile, or equivalent program management certification
The expected salary range for this position is $140,000 - $150,000 p/year, based on experience, skills, and qualifications.
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