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7 дней назад

Sr. Manager, Data Science & Analytics (AI)

210 000 - 250 000$
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

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TL;DR
Sr. Manager, Data Science & Analytics (AI): Leading enterprise data science and analytics across workforce, customer, and product domains with an accent on trusted reporting, predictive modeling, machine learning, and measurable business impact. Focus on building analytical roadmaps, managing technical teams and consultants, establishing governance and validation standards, and deploying forecasting, classification, optimization, and anomaly detection solutions.

Location: USA, with the Waltham, Massachusetts area preferred

Salary: $210,000–$250,000 yearly

Company

hirify.global develops solutions for biopharmaceutical and clinical markets, with a focus on innovation, customer value, and critical operational workflows.

What you will do

  • Lead data science and analytics across workforce, customer, and product domains.
  • Build roadmaps for trusted reporting, self-service analytics, data science, and advanced analytics use cases.
  • Manage employees and external consultants, including data scientists, analysts, and report developers.
  • Set standards for analytical methods, dashboards, metric definitions, model validation, documentation, and insight delivery.
  • Partner with business leaders to prioritize high-value analytical opportunities.
  • Oversee forecasting, classification, optimization, anomaly detection, statistical analysis, experimentation, and model validation.

Requirements

  • Master’s degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field; a PhD is preferred.
  • 10+ years of experience in analytics, business intelligence, data science, applied machine learning, and enterprise insight delivery.
  • Experience managing technical analytics teams, consultants, or cross-functional analytical programs.
  • Strong knowledge of statistical analysis, data visualization, forecasting, model validation, business performance measurement, and dashboarding.
  • Familiarity with modern data platforms, governed semantic and data models, and enterprise reporting environments.
  • Strong executive communication, stakeholder management, and prioritization skills.

Nice to have

  • Experience in medical devices, diagnostics, life sciences, regulated manufacturing, or healthcare.
  • Experience harmonizing analytics across ERP, CRM, data lake or lakehouse, IoT device data, complaints, and field data.
  • Experience building analytics operating models, metric registries, or self-service analytics programs.

Culture & Benefits

  • Work within a culture emphasizing customer centricity, ingenuity, accountability, collaboration, and integrity.
  • Comprehensive health coverage for full-time employees.
  • Retirement savings options and paid time off.
  • Wellness initiatives and professional development resources.
  • Focus on transparency, sustainability, effective communication, and employee engagement.

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