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10 дней назад

Manager - Data Strategy & Management

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
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
Manager - Data Strategy & Management (SQL/Python): Executing enterprise data strategy through scalable pipelines, curated data layers, and reliable data products for analytics and performance reporting with an accent on data governance, quality, privacy, and regulatory compliance. Focus on translating business requirements into technical solutions, enabling advanced analytics, and improving data reliability through automation, validation, and monitoring.

Location: Mexico City, Mexico; hybrid work arrangement

Company

hirify.global develops medicines and healthcare solutions supported by data-driven research and commercial operations.

What you will do

  • Execute enterprise data strategy initiatives by delivering scalable data pipelines, assets, frameworks, and solutions.
  • Build, enhance, and maintain reliable data pipelines and curated data layers for analytics and performance reporting.
  • Translate business and analytics requirements into scalable data designs, data structures, and technical solutions.
  • Operationalize data governance standards, data quality rules, privacy controls, and regulatory requirements.
  • Collaborate with data science, analytics, marketing, digital, and technology partners to enable advanced analytics and business decision-making.
  • Support automation, validation, monitoring, risk identification, knowledge sharing, and mentoring of junior team members.

Requirements

  • Bachelor’s degree with 5+ years of relevant experience, Master’s degree with 3+ years, or PhD with 0–2 years.
  • Strong hands-on experience with SQL, Python, and modern data platforms.
  • Understanding of data pipelines, data modeling, and distributed data architectures.
  • Experience translating business requirements into technical data solutions.
  • Working knowledge of data governance, data quality, privacy, security, and compliance concepts.
  • Strong communication and collaboration skills.

Nice to have

  • Experience in commercial, marketing, regulated, or life sciences environments.
  • Familiarity with API integrations, data validation frameworks, and analytics-ready data models.
  • Experience with agile delivery environments, cloud-based data platforms, and orchestration tools.

Culture & Benefits

  • Hybrid work arrangement.
  • Collaboration across data science, analytics, business, marketing, digital, and technology functions.
  • Equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, gender identity or expression, national origin, or disability.

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