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11 дней назад

Program Manager, Data Science Core & GenAI Studio (AI)

120 - 170$
Формат работы
remote (только USA)/hybrid
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
Program Manager, Data Science Core & GenAI Studio (AI): Building operating structure for a data science portfolio spanning experimentation, model development, production delivery, and monitoring with an accent on roadmap management, cross-functional execution, and responsible AI. Focus on sequencing programs, managing dependencies and risks, establishing delivery readiness, and translating technical tradeoffs into clear decisions for stakeholders.

Location: Fully remote within the USA; candidates near hirify.global offices may choose hybrid work on Tuesdays and Wednesdays. Travel to New York City or Reston, Virginia is required 3–5 times per year. U.S. work authorization is required.

Hiring range: $120–$170, adjusted based on location, experience, qualifications, impact, and market data.

Company

hirify.global is a self-sustaining nonprofit focused on expanding educational and career opportunities through mission-driven work.

What you will do

  • Establish operating rhythms for planning, status reporting, decision-making, risk reviews, retrospectives, and program documentation.
  • Coordinate execution across data science, research, product, engineering, analytics, privacy, legal, security, and business teams.
  • Translate strategy and ambiguous goals into integrated portfolios, roadmaps, milestones, ownership, dependencies, and measurable outcomes.
  • Lead intake, prioritization, readiness reviews, handoffs from research and prototyping through production, adoption, and operational ownership.
  • Manage delivery, data, model, compliance, and resourcing risks while facilitating decisions and resolving blockers.
  • Build stakeholder alignment, communicate technical tradeoffs and model limitations, support adoption, and improve team effectiveness.

Requirements

  • 8 or more years of experience leading complex programs or portfolios in data science, analytics, machine learning, software, research, or another technical environment.
  • Experience delivering cross-functional programs from problem framing through implementation, adoption, and measurement.
  • Working knowledge of the data science lifecycle, including data readiness, experimentation, model development and validation, deployment, monitoring, and iteration; hands-on model development is not required.
  • Ability to turn ambiguous goals into plans with milestones, ownership, dependencies, risks, and decisions without unnecessary process.
  • Experience with portfolio planning and prioritization across strategic value, commitments, capacity, technical constraints, and risk.
  • Ability to manage cross-team dependencies, surface issues early, and drive resolution across teams not directly managed.
  • Clear communication with executives, technical teams, researchers, and business partners, including explaining technical tradeoffs, uncertainty, and data or model limitations.
  • Familiarity with data quality, privacy, governance, security, and responsible AI considerations.
  • Effective use of program management and collaboration tools, with ability to adapt agile, iterative, or stage-gated practices.
  • Strong judgment, curiosity, accountability, inclusive collaboration, continuous learning, clear communication, and a commitment to mission-driven impact.

Nice to have

  • No separate optional qualifications are specified.

Culture & Benefits

  • Mission-driven work focused on expanding educational and career opportunities.
  • Fully remote work within the USA, with an optional hybrid arrangement for candidates near hirify.global offices.
  • Supportive, inclusive, accountable collaboration with emphasis on learning, feedback, documentation, knowledge sharing, and continuous improvement.
  • Compensation is designed to be fair, transparent, competitive, and adjusted by location.
  • Ability to travel to New York City or Reston, Virginia 3–5 times per year is required.

Hiring process

  • Applications are reviewed immediately and remain open until the position is filled, for a minimum of 5 business days.
  • Typical stages include resume and application review, recruiter phone or video screen, hiring manager interview, a performance exercise such as live coding, panel interview, leadership conversation, and reference checks.

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