Pay
In line with similar jobs
$143K–$210K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Cambridge (US)
Live, first seen by us 35 days agoHybrid Working schedule, based in Cambridge, MA. In line with Ipsen Hybrid Working Policy The annual base salary range for this position is $143,250-$210,100. This job is eligible to participate in our short-term incentives program.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and maintain batch and near-real-time data pipelines on Snowflake and Databricks
Build interfaces between Salesforce Life Sciences Cloud, hub and specialty pharmacy partners, and reporting platforms
Translate business reporting needs into certified, analytics-ready datasets and governed metrics
Implement automated data quality controls, reconciliation, and lineage documentation
Coordinate internal teams and external vendors on requests, defects, and new-source onboarding
Design, build, test, deploy, and maintain scalable batch and near-real-time pipelines using Snowflake, Databricks, SQL, Python, and approved orchestration tools.
Design and support interfaces among Salesforce Life Sciences Cloud, Hub and specialty pharmacy partners, Snowflake, Databricks, and reporting platforms.
Translate business workflows and reporting needs into analytics-ready data products and technical specifications.
Implement automated controls for completeness, accuracy, validity, timeliness, duplication, referential integrity, and reconciliation.
Coordinate internal teams and external vendors with clear requirements, dependencies, acceptance criteria, and service expectations.
Knowledge & Experience (essential): - Bachelor's degree in a technical or analytical field, or equivalent practical experience. - 12+ years in data engineering, enablement, operations, or analytics engineering, including hands-on development.
Education / Certifications (essential): - Bachelor's degree or equivalent practical experience. Education / Certifications (preferred):
We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact.
In the employer’s words · Read in context
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In line with similar jobs
$143K–$210K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 35
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The Associate Director, Data Enablement & Operations - Patient Services & Value & Access is the hands-on data engineering and operations lead responsible for building, integrating, and running trusted data products that support Patient Services and Value & Access. The role owns data aggregation, ingestion, transformation, quality, and analytics enablement across internal platforms and external partner feeds. This individual serves as the primary data point of contact for Patient Services and Value & Access, partnering with business stakeholders, Data Strategy & Analytics, technology teams, Salesforce platform owners, and vendors. The role translates business and reporting needs into scalable pipelines, curated datasets, governed metrics, and dependable operational processes using Snowflake, Databricks, SQL, and Python. The successful candidate personally develops, tests, troubleshoots, documents, and supports production solutions. Main Responsibilities & Technical Competencies
Data Engineering & Pipeline Development - Design, build, test, deploy, and maintain scalable batch and near-real-time pipelines using Snowflake, Databricks, SQL, Python, and approved orchestration tools. - Develop ingestion and transformation workflows for Hub, specialty pharmacy, specialty distributor, payer, CRM, claims, and access-related data.
- Convert recurring analytical requirements into durable data models rather than one-time extracts. - Support controlled SQL/Python analysis while industrializing repeatable needs. - Enable traceability from source through transformations to reports, metrics, and analytical outputs.
- 12+ years in data engineering, enablement, operations, or analytics engineering, including hands-on development. - Advanced SQL and Python skills with production pipeline experience. - Hands-on Snowflake and Databricks experience across ingestion, transformation, orchestration, modeling, monitoring, and optimization.
- Understand Salesforce Life Sciences Cloud data structures, workflows, integration events, and downstream requirements. - Design and support interfaces among Salesforce Life Sciences Cloud, Hub and specialty pharmacy partners, Snowflake, Databricks, and reporting platforms. - Validate completeness, accuracy, timeliness, and traceability of inbound and outbound Salesforce feeds.
- Advanced SQL and Python skills with production pipeline experience. - Hands-on Snowflake and Databricks experience across ingestion, transformation, orchestration, modeling, monitoring, and optimization. - Experience with ETL/ELT, APIs, file integrations, version control, CI/CD, and production support.
- Master's degree in a technical or analytical discipline. - Snowflake, Databricks, cloud, data engineering, or Salesforce certification. Language(s) (essential):
- Commercial Patient Services, Market Access, Value & Access, reimbursement, or affordability analytics experience. - Experience with data aggregation vendors, payer/access data, semantic layers, Tableau or Power BI. - Experience with catalog, lineage, MDM, data observability, privacy controls, and vendor SLAs.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Title:
Associate Director, Data Enablement & Operations - Patient Services & Value & AccessCompany:
Ipsen Biopharmaceuticals Inc.
About Ipsen:
Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.
Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!
For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.
Job Description:
The Associate Director, Data Enablement & Operations - Patient Services & Value & Access is the hands-on data engineering and operations lead responsible for building, integrating, and running trusted data products that support Patient Services and Value & Access. The role owns data aggregation, ingestion, transformation, quality, and analytics enablement across internal platforms and external partner feeds.
This individual serves as the primary data point of contact for Patient Services and Value & Access, partnering with business stakeholders, Data Strategy & Analytics, technology teams, Salesforce platform owners, and vendors. The role translates business and reporting needs into scalable pipelines, curated datasets, governed metrics, and dependable operational processes using Snowflake, Databricks, SQL, and Python. The successful candidate personally develops, tests, troubleshoots, documents, and supports production solutions.
Main Responsibilities & Technical Competencies
Data Engineering & Pipeline Development
Patient Services & Value & Access Data Enablement
Salesforce Life Sciences Cloud & Integration
Analytics Enablement & Data Products
Data Quality, Governance & Compliance
Operating Model, Delivery & Vendor Management
Success Measures
HOW - Knowledge & Experience
Knowledge & Experience (essential):
Knowledge & Experience (preferred):
Education / Certifications (essential):
Education / Certifications (preferred):
Language(s) (essential):
Fluent in English.
Travel: ~ 20%
Hybrid Working schedule, based in Cambridge, MA. In line with Ipsen Hybrid Working Policy
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Hybrid Working schedule, based in Cambridge, MA. In line with Ipsen Hybrid Working Policy The annual base salary range for this position is $143,250-$210,100. This job is eligible to participate in our short-term incentives program.
Cambridge (US)
Travel: ~ 20% Hybrid Working schedule, based in Cambridge, MA. In line with Ipsen Hybrid Working Policy The annual base salary range for this position is $143,250-$210,100.
No clear work-authorization passage found. Eligibility is unconfirmed.