3 дня назад
Director, Commercial Data & Analytics Architecture (Pharmaceutical)
162 900 - 271 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Commercial Data & Analytics Architecture (Pharmaceutical): Owns the governed commercial analytics data and semantic layer supporting brand analytics, forecasting, data science products, and AI agents with an accent on data contracts, federated architecture, and scalable platform standards. Focus on designing conformed data models, enforcing metric consistency, prototyping technology patterns, and guiding enterprise partners through production implementation.
Location: New York City, United States; hybrid work assignment. Candidates must have permanent authorization to work in the United States. U.S. work visa sponsorship is not available.
Annual base salary: $162,900–$271,500, plus eligibility for a 20% performance bonus and share-based long-term incentives.
Company
is a pharmaceutical company developing medicines and healthcare solutions.
What you will do
- Own the commercial analytics data model, including standardized domains, conformed dimensions, governed identity spines, and certified data products.
- Define federated development standards, data contracts, metric certification, and automated data quality and contract testing.
- Set technology direction for storage, compute, transformation, orchestration, CI/CD, cataloging, lineage, semantic tooling, and infrastructure.
- Remain hands-on by writing reference implementations, reviewing code, prototyping capabilities, and approving partner and internal implementations.
- Design sandbox-to-production promotion, access, service account, observability, onboarding, and legacy asset decommissioning approaches.
- Translate architecture decisions into recommendations for commercial analytics leaders and executive sponsors.
Requirements
- 8+ years of experience in data architecture, data engineering, or analytics engineering with substantial hands-on delivery; alternative requirements apply for advanced degrees.
- High proficiency in SQL and Python, including production coding and code review.
- Experience with modern cloud data warehouses, preferably Snowflake, transformation frameworks, orchestration, and CI/CD for data pipelines.
- Experience designing data contracts, conformed data models, metric registries, or semantic layers used by multiple teams.
- Experience acting as design authority for vendor or partner implementations in a large enterprise.
- Experience with commercial pharmaceutical or life sciences data and the ability to present architecture recommendations to senior business leaders.
Nice to have
- Advanced degree in computer science, engineering, information systems, or a related quantitative field.
- Experience with regulated industries, data catalog and lineage tools such as Collibra, and metric governance workflows.
- Experience preparing governed data and semantics for LLM or agent-based consumption, including grounding, retrieval, and drift detection.
- Experience with federated or data mesh operating models and organization-wide reference implementations, templates, and runbooks.
Culture & Benefits
- Hybrid work environment with collaboration across internal teams and external partners.
- Participation in ’s Global Performance Plan with a 20% bonus target.
- Eligibility for a share-based long-term incentive program.
- Benefits include 401(k) matching and retirement contributions, paid vacation and leave, caregiver and parental leave, and medical, prescription, dental, and vision coverage.
- Relocation assistance may be available based on business needs and eligibility.
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