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Technical Delivery Manager

1 month ago
United States
Lead
Program Manager
Artificial Intelligence and Machine Learning
Agile Asana Confluence Generative AI JIRA Machine Learning MLOps Scrum
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Innodata

Innodata

Innodata Inc. is a global leader in data engineering, offering end-to-end AI solutions and platforms for businesses worldwide, combining AI and human expertise to solve complex data challenges.

IT Services
1K-5K
Founded 1988
View All Jobs 19

Description

  • Own delivery roadmaps for AI/ML programs, including model development, fine-tuning, LLM implementations, and evaluation workstreams.
  • Translate client goals into delivery plans, milestones, budgets, resourcing plans, and success metrics.
  • Serve as the primary client contact, managing day-to-day relationships through CXO-level engagement.
  • Track scope, timelines, budgets, SLAs, deliverables, and commercial commitments across concurrent programs.
  • Establish governance cadences and present status updates, risks, outcomes, and executive dashboards.
  • Coordinate engineering, practice, hiring, talent acquisition, and operations teams around delivery priorities.
  • Manage staffing pipelines, resourcing, utilization, invoicing milestones, and contractual compliance.
  • Identify and mitigate technical, scope, timeline, and resourcing risks before escalation.
  • Own issue and escalation management while maintaining transparent client communication.
  • Drive continuous improvement in delivery processes, templates, and playbooks.

Requirements

  • Bachelor’s degree in engineering, Computer Science, or a related field; MBA or equivalent preferred.
  • 8+ years of technical program or delivery management experience, including 2–3 years managing AI/ML, data science, or data engineering programs.
  • Experience in IT services, consulting, or an AI/ML solutions provider using a client-delivery model.
  • Experience delivering LLM/GenAI projects, including RAG pipelines, fine-tuning, agentic workflows, or evaluation frameworks.
  • Working knowledge of the ML/AI lifecycle, including model training, fine-tuning, LLM solutions, model evaluation, and MLOps.
  • Experience serving as a primary client-facing contact for enterprise or CXO-level stakeholders.
  • Ability to manage multiple concurrent cross-functional programs in a matrixed environment.
  • Strong executive communication and presentation skills, including translating technical details into business impact.
  • Experience with delivery tools such as Jira, Asana, MS Project, or Confluence and reporting/dashboarding tools.

Benefits

  • Expected salary of $145,000–$165,000 per year, based on experience, skills, and qualifications.

Interested in this position?

Apply directly on the company website

Apply Now

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