Lead, Data Enablement & Operations — Patient Services & Access

Ipsen Biopharmaceuticals Inc.

United States

On-site

USD 143,000 - 210,000

Full time

5 days ago
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Job summary

Ipsen Biopharmaceuticals Inc. in Cambridge, MA, seeks an Associate Director of Data Enablement & Operations to lead hands-on data engineering and operations for Patient Services & Value & Access.

Build and run trusted data products and scalable pipelines across internal platforms and partner feeds. The role drives data aggregation, quality, governance, and analytics enablement using Snowflake, Databricks, SQL, and Python, collaborating with stakeholders, Salesforce Life Sciences Cloud, and

Qualifications

  • 12+ years in data engineering, enablement, operations, or analytics engineering with hands-on development.
  • Advanced SQL and Python skills with production pipeline experience.
  • Knowledge of Hub, specialty pharmacy/distributor, payer, claims, CRM, affordability, and patient data concepts.

Responsibilities

  • Design, build, test, deploy, and maintain scalable batch and near-real-time pipelines using Snowflake, Databricks, SQL, Python and orchestration tools.
  • Develop ingestion and transformation workflows for healthcare data domains (Hub, payer, CRM, claims).
  • Define data acceptance criteria, validation, and governance to ensure trusted analytics products.
  • Translate business needs into analytics-ready data products and technical specifications for Salesforce Life Sciences Cloud integrations.
  • Partner with Analytics teams to deliver governed datasets, dashboards, and feature-ready datasets.

Skills

SQL
Python
Data pipelines
Data engineering

Education

Bachelor's degree or equivalent practical experience
Master's degree (preferred)

Tools

Snowflake
Databricks
ETL/ELT tools
CI/CD

Job description

Ipsen Biopharmaceuticals Inc. in Cambridge, MA, seeks an Associate Director of Data Enablement & Operations to lead hands-on data engineering and operations for Patient Services & Value & Access.

Build and run trusted data products and scalable pipelines across internal platforms and partner feeds. The role drives data aggregation, quality, governance, and analytics enablement using Snowflake, Databricks, SQL, and Python, collaborating with stakeholders, Salesforce Life Sciences Cloud, and

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