Technical Delivery Manager

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: 

We are looking for a Technical Delivery Manager (TDM) to own end-to-end program management for our AI/ML engagements — spanning ML model development, training and fine-tuning, LLM-based solutions, data pipelines, model evaluation, and broader AI/ML workflows.

This role is the single point of contact (SPOC) for clients and internally coordinates across CXO’s, practice heads, engineering, hiring, operations teams. The TDM acts as the orchestrator of the entire delivery engine, ensuring that what clients expect and what gets delivered stay tightly aligned at every stage, while proactively identifying and resolving risks before they become issues. 

What You’ll Own:

Program & Delivery Management:

• Own the end-to-end delivery roadmap for AI/ML programs, including ML model development, training/fine-tuning, LLM implementations, and model evaluation workstreams.
• Translate client requirements and business goals into structured delivery plans, milestones, and success metrics.
• Track scope, timelines, budgets, and resourcing across multiple concurrent AI/ML projects; proactively flag slippages and drive corrective action.
• Establish and maintain governance cadences (status reviews, steering committee updates, sprint/iteration reviews) across all active engagements.

Client & Stakeholder Management:

• Serve as the single SPOC for clients — managing relationships from day-to-day points of contact through to CXO-level stakeholders.
• Run regular client check-ins, business reviews, and escalation calls; present delivery status, risks, and outcomes.
• Ensure client expectations are clearly captured, documented, and continuously validated against what is actually being built and delivered — closing any gaps before they surface as dissatisfaction.
• Build trusted advisor relationships that support account growth and renewal.

Cross-Functional Orchestration:

• Act as the connective tissue between practice heads, engineering teams, hiring/talent acquisition, and operations, ensuring everyone is working off the same delivery plan and priorities.