Назад
Company hidden
5 дней назад

Director Data & Analytics (AI)

154 000 - 231 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director Data & Analytics (AI): Building and scaling enterprise data products and decision intelligence capabilities across supply chain, manufacturing, finance, sales, quality, and procurement with an accent on data governance, semantic models, advanced analytics, and AI-ready data. Focus on establishing a data and analytics Center of Excellence, leading enterprise product portfolios, enabling predictive and prescriptive decisions, and managing large-scale teams and delivery partners.

Location: Hybrid, Northbrook, Illinois, United States

Salary: $154,000–$231,000 annual

Company

hirify.global is a healthcare and medical products organization with operations across manufacturing, distribution, supply chain, and enterprise technology.

What you will do

  • Define and execute the enterprise vision, strategy, roadmap, operating model, funding approach, and success metrics for data products and decision intelligence.
  • Lead the Data Products & Decision Intelligence Center of Excellence, including demand intake, prioritization, business cases, portfolio reporting, and value realization.
  • Own the enterprise data product portfolio from ideation through deployment and retirement, scaling reusable, governed, certified data products, conformed dimensions, and semantic models.
  • Establish standards for data ownership, SLAs, contracts, documentation, quality, certification, metadata, lineage, access, security, and compliance.
  • Lead decision intelligence and advanced analytics use cases including demand sensing, inventory optimization, pricing, margin, cost-to-serve, quality, and supplier risk, while enabling machine learning, generative AI, and agentic AI solutions.
  • Build the team and COE capability through recruiting, coaching, resource allocation, change management, data literacy, self-service enablement, partner governance, and legacy-reporting retirement.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Administration, or a related field, or equivalent experience.
  • 10+ years of experience in data engineering, business intelligence, analytics, or data management, including 4+ years leading data and analytics teams.
  • Experience building or leading a Center of Excellence or similar enterprise capability.
  • Experience owning and scaling enterprise data products or data platforms in large, complex organizations.
  • Strong background managing Service Integrators or large-scale delivery partners.
  • Deep understanding of data product management, including product thinking, data contracts, lifecycle management, and value measurement.
  • Working knowledge of data warehouse and lakehouse architecture, medallion or layered architecture, ETL/ELT, dimensional modeling, and semantic models sufficient to evaluate technical designs.
  • Understanding of decision intelligence, advanced analytics, machine learning, and generative AI in business decision-making, plus working knowledge of Power BI or an equivalent BI and visualization platform.
  • Strong business-oriented data understanding, executive, functional, and technical communication skills, and experience leading change management and adoption in large organizations.

Nice to have

  • Master’s degree.
  • Hands-on familiarity with Microsoft Fabric, including OneLake, Lakehouse, Data Engineering, Real-Time Intelligence, Power BI, and Azure data services such as Azure Data Factory, Synapse, ADLS, Azure Databricks, and Azure Machine Learning.
  • Experience with data governance and catalog tools such as Microsoft Purview, Collibra, or Alation.
  • Experience modernizing legacy on-premise platforms to cloud data platforms.
  • Domain experience in healthcare, medical products, manufacturing, distribution, or supply chain.
  • Experience with data mesh, AI integration, ROI metrics, and process, organizational, or architectural constructs.
  • Certifications in Azure, Microsoft Fabric, data management, product management, or change management.

Culture & Benefits

  • Hybrid work arrangement in Northbrook, Illinois.
  • Competitive total rewards package with health insurance, life and disability coverage, 401(k) contributions, and paid time off for eligible employees.
  • Continuing education and training opportunities.
  • Inclusive workplace focused on belonging, diversity, career growth, and access to resources for effective work.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →