Technical Delivery Manager

Innodata Inc.; United States; Remote; USD 145,000 - 165,000; Full time

Job summary

Innodata Inc. is seeking a Technical Delivery Manager to own end-to-end program management for AI/ML engagements, spanning model development, training, fine-tuning, LLM implementations, data pipelines, and evaluation milestones.

This role serves as the SPOC for clients and coordinates across CXO-level stakeholders, engineering, and operations to align delivery with client goals and contractual commitments.

Qualifications

• 8+ years of technical program / delivery management experience.
• 2–3 years of AI/ML, data science, or data engineering programs.
• Primary client-facing SPOC for enterprise/CXO stakeholders.
• Strong knowledge of ML/AI project lifecycle and MLOps concepts.
• Experience with program/delivery tooling (Jira/Asana/MS Project/Confluence).

Responsibilities

• Own end-to-end delivery roadmap for AI/ML programs, incl. model development, training/fine-tuning, LLM implementations, and evaluation workstreams.
• Translate client requirements into structured delivery plans, milestones, and success metrics.
• Track scope, timelines, budgets, and resourcing; flag slippages and drive corrective action.
• Establish governance cadences across all engagements.
• Serve as the single SPOC for clients and manage CXO-level relationships.
• Coordinate staffing and hiring pipelines to ensure talent for ramp-ups.

Skills

Technical program management

AI/ML delivery

Client-facing

Executive communication

Jira

Asana

MS Project

Confluence

Education

Bachelor’s degree in engineering/CS

MBA (a plus)

Tools

Jira

Asana

MS Project

Confluence

Job description

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.
• Coordinate staffing and hiring pipelines with TA/HR to ensure the right talent is available in time for project ramp-up.
• Work with practice/technical leads to validate solution approaches, technical feasibility, and effort estimates before commitments are made to clients.
• Partner with operations on resourcing, utilization, invoicing/billing milestones, and contractual compliance.

Risk, Quality & Proactive Issue Management:

• Proactively identify delivery risks (technical, resourcing, scope, timeline) early and drive mitigation plans before they escalates.
• Anticipate client concerns based on program signals (e.g., slipping milestones, performance issues, resourcing gaps) and act ahead of formal escalation.
• Own issue/escalation management end-to-end — coordinating the right internal teams to resolve problems quickly and communicating transparently with clients throughout.
• Drive continuous improvement in delivery processes, templates, and playbooks based on lessons learned across engagements.

Reporting & Governance:

• Maintain accurate, real-time visibility into program health for internal leadership and client stakeholders.
• Prepare and present executive-level dashboards and reviews to both client and internal leadership.
• Ensure contractual SLAs, deliverable timelines, and commercial commitments are tracked and met.

You’ll Thrive in This Role If You Have:

• Bachelor’s degree in engineering, Computer Science, or related field; MBA or equivalent is a plus
• Prior experience in an IT services, consulting, or AI/ML solutions provider environment (client-delivery model, not just internal product teams)
• Exposure to LLM/GenAI project delivery specifically (RAG pipelines, fine-tuning, agentic workflows, evaluation frameworks)
• 8+ years of experience in technical program/delivery management, with at least 2–3 years specifically managing AI/ML, data science, or data engineering programs.
• Demonstrated experience being the primary client-facing SPOC for enterprise or CXO-level stakeholders.
• Strong working knowledge of the ML/AI project lifecycle: model training/fine-tuning, LLM-based solution delivery, model evaluation, and MLOps concepts.
• Proven ability to manage multiple concurrent, cross-functional programs in a matrixed environment (engineering, practice/technical teams, hiring, operations).
• Excellent executive communication and presentation skills; comfortable translating technical detail into business impact for CXO audiences.
• Experience with program/delivery tooling (e.g., Jira, Asana, MS Project, Confluence) and reporting/dashboarding tools.

The expected salary range for this position is $145,000 - $165,000 p/year, based on experience, skills, and qualifications.

As set forth in Innodata Inc.’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

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