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3 дня назад

Data Manager Senior - Data Products - AI and Analytics

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
Data Manager Senior - Data Products - AI and Analytics (Data Products): Defining and delivering enterprise-scale data, analytics, AI, and GenAI products for retail banking with an accent on reusable data products, semantic layers, governance, and interoperability. Focus on building roadmaps, leading analytics solutions, managing delivery across agile teams, and enabling self-service analytics and intelligent automation.

Location: In-office position based in Pittsburgh, Pennsylvania, United States

Company

hirify.global is a banking company focused on retail banking, customer experiences, data-driven decision-making, and financial services.

What you will do

  • Define and execute multi-year roadmaps for enterprise data, analytics, AI, and GenAI products supporting retail banking portfolios and customer journeys.
  • Design reusable, governed, AI-ready data products and interoperable data engineering and analytics artifacts across structured, semi-structured, unstructured, and external data.
  • Lead diagnostic, predictive, and prescriptive analytics solutions for customer growth, operational efficiency, risk optimization, and revenue generation.
  • Define standards for analytics products, model governance, explainability, business metrics, semantic layers, metadata, taxonomies, ontologies, and knowledge graphs.
  • Manage product delivery across multiple agile teams in a matrixed organization, from ideation and prioritization through implementation, launch, and adoption.

Requirements

  • University or college degree; a bachelor's degree is listed for the position.
  • Typically 8+ years of industry experience and at least 5 years of prior management experience.
  • Experience with data analytics, data science, machine learning, business intelligence, data administration, data architecture, data governance, and data warehousing.
  • Knowledge of information management, data modeling, IT standards and procedures, and root cause analysis.
  • Must work in the office in Pittsburgh, PA; employment visa sponsorship and STEM OPT participation are not provided.

Culture & Benefits

  • Inclusive, supportive in-office workplace focused on customer outcomes, risk management, innovation, and results.
  • Medical, prescription, dental, and vision coverage, including a Health Savings Account feature.
  • Life insurance, disability protection, 401(k) matching, pension, and stock purchase plans.
  • Educational assistance, wellness programs, dependent care support, and family-related reimbursement programs.
  • Paid parental leave, up to 11 paid holidays, occasional absence days, and 15–25 vacation days depending on career level and service.

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