Назад
Company hidden
3 дня назад

Associate Director – Pharma Commercial Data & AI

131 200 - 174 975$
Формат работы
onsite
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
Associate Director – Pharma Commercial Data & AI (Pharma Commercial Data & AI): Managing pharmaceutical commercial data across Immunology, Rare Diseases, and Ophthalmology with an accent on Snowflake, Power BI, data governance, and Cortex AI. Focus on translating commercial processes into trusted data assets, improving data quality, and validating generative AI outputs with business users.

Location: Berkeley Heights, New Jersey, United States. U.S. Citizens and candidates authorized to work in the U.S. are encouraged to apply; flexibility to travel and/or relocate within the U.S. may be required by project needs.

Salary: $131,200–$174,975 annually, adjusted based on location, qualifications, experience, skills, internal equity, and market data.

Company

hirify.global provides cloud software and data analytics for Life Sciences companies, supporting commercial operations, sales growth, healthcare outcomes, and AI-enabled data transformation.

What you will do

  • Lead commercial data activities for Immunology, Rare Diseases, and Ophthalmology, partnering with business, analytics, IT, and governance teams.
  • Translate HCP/HCO targeting, patient identification, referral, specialty channel, field engagement, and market access processes into data requirements, definitions, and metrics.
  • Manage CRM, MDM, claims, sales, specialty pharmacy, patient services, alignment, and incentive compensation datasets across their lifecycle.
  • Define and monitor data quality rules, investigate source issues, and drive resolution with data owners.
  • Build Snowflake data assets, including SQL transformations, curated views, and semantic definitions, as well as Power BI reports and dashboards.
  • Support Snowflake Cortex AI use cases, onboard data sources, prioritize data requests, and communicate data availability, issues, and changes.

Requirements

  • 8–10+ years of experience in pharmaceutical or Life Sciences commercial data management, analytics, or data engineering, including hands-on commercial data experience in Immunology, Rare Diseases, or Ophthalmology.
  • Strong understanding of pharma commercial processes and datasets.
  • Hands-on knowledge of CRM data, such as Veeva CRM/Vault CRM or Salesforce, and MDM concepts including HCP/HCO mastering, matching and survivorship, affiliations, and hierarchies.
  • Working knowledge of medical and pharmacy claims, sales data such as IQVIA or Symphony, specialty pharmacy, and patient services data.
  • Strong SQL skills and hands-on experience with Snowflake and Power BI.
  • Familiarity with Snowflake Cortex AI or comparable generative AI tools, including prompt and context design, output evaluation, and result validation.
  • Understanding of data quality, metadata, governance, lineage, and stewardship.
  • Ability to work independently and communicate clearly with business and technical audiences.
  • Bachelor’s degree in Life Sciences, Computer Science, Information Systems, Engineering, or a related field.

Nice to have

  • Experience with Reltio or similar MDM platforms.
  • Python knowledge.
  • Client-facing or consulting experience.

Culture & Benefits

  • Transparent and collaborative working culture within a global Life Sciences data and analytics organization.
  • Access to hirify.global Institute, an in-house university offering structured training.
  • Customized career progression planning and opportunities for meaningful work.
  • Travel and/or relocation within the U.S. may be required according to project needs.

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 →