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5 дней назад

Senior Delivery Manager (AI)

89 400 - 183 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Delivery Manager (AI): Leading end-to-end delivery of AI/ML, GenAI, and agentic AI initiatives from discovery and proof of concept through production and adoption with an accent on cross-functional delivery, people leadership, and measurable business outcomes. Focus on managing delivery risks, budgets, staffing, responsible AI practices, model evaluation, integration, and production readiness.

Location: Chattanooga, Tennessee, USA

Base salary: $89,400.00–$183,500.00 annually

Company

hirify.global is a Fortune 500 employee benefits provider undergoing a digital transformation and helping millions of people access benefits.

What you will do

  • Directly manage, coach, and develop a small to mid-sized technical team.
  • Lead end-to-end delivery of AI/ML, GenAI, and agentic AI initiatives from discovery and proof of concept through production and adoption.
  • Coordinate delivery across multiple initiatives and Scrum teams, aligning priorities, commitments, milestones, and business outcomes.
  • Partner with Product Owners, data science, engineering, platform, security, architecture, and business stakeholders.
  • Identify and resolve delivery risks and dependencies, while providing technical leadership on estimates, evaluation, integration, deployment, and production readiness.
  • Manage staffing, capacity, budgets, forecasting, resource allocation, vendor relationships, delivery standards, stage gates, and responsible AI practices.

Requirements

  • Bachelor’s degree in a related field preferred, or equivalent experience.
  • 5+ years of technology delivery experience leading complex, cross-functional initiatives.
  • Experience managing, coaching, developing, and building high-performing technical teams.
  • Experience delivering AI/ML, GenAI, MLOps, ML pipeline, or data-platform solutions, including meaningful AI/ML delivery exposure.
  • Working knowledge of the ML/LLM lifecycle, including model evaluation, deployment, monitoring, and production support.
  • Technical depth to engage with data scientists and engineers and understand RAG, model evaluation, integration, and production readiness.
  • Experience managing budgets, forecasting, staffing, and resource allocation.
  • Strong stakeholder management and communication skills, including translating technical concepts for non-technical audiences.
  • Experience with Agile/Lean delivery practices and leading through ambiguity and changing priorities.

Nice to have

  • Familiarity with agentic AI, cloud AI platforms, and responsible AI practices.

Culture & Benefits

  • Agile, fast-paced, delivery-focused environment with an entrepreneurial spirit.
  • Onsite fitness facilities and paid time off.
  • Employee professional development programs.
  • Healthcare, vision, dental, disability insurance, and performance-based incentive plans.
  • 401(k) retirement plan with employer matching up to 5% and an additional 4.5% contribution.

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