Global Data Lakehouse & Analytics Product Lead

Initial Therapeutics, Inc.

New Jersey

On-site

USD 134,000 - 219,000

Full time

14 days+
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Job summary

Regeneron is seeking an experienced Product Lead for the Data Lakehouse and Analytics platforms, partnering with Biostatistics Data Management, Clinical Genetics Medicine and Experimental Sciences, compliance, and IT to deliver compliant, scalable solutions. You will own requirements, roadmap, backlog, and delivery across ED data sources and RWE with strong R/Python skills and AWS cloud tools.

The role requires 4 days on-site at Warren, NJ or Armonk, NY, with no remote possibility.

Qualifications

  • BS/ degree with 10+ years relevant experience.
  • MS or MBA with 6+ years preferred in Life Sciences IT, Product Management, or Business/Systems Analysis.
  • Experience with data lakes/lakehouses (Snowflake, Databricks, AWS) supporting Clinical, RWE, and Safety data.
  • Experience building data pipelines for transfer, cleaning, and aggregation from EDC (RAVE), eCOA, and non-EDC sources, including API and RTS integrations.
  • Hands-on proficiency in SAS, R, and Python, including R Shiny development/deployment, APIs, SAS Viya/Posit, and AI automation for clinical R&D.
  • Knowledge of CDISC standards (SDTM, ADaM) and Pinnacle 21.
  • Understanding of Data Management and Safety functions, data quality, query management, and lab data reconciliation.
  • Knowledge of CRO data transfer specs and data curation across studies/programs/therapeutic areas.
  • Understanding of data governance and regulatory compliance in GxP environments.

Responsibilities

  • Lead GxP implementation of Data Lakehouse (AWS, Snowflake and Databricks), Posit solutions and support exploratory non-GxP use cases.
  • Provide thought leadership and architectural inputs to shape a scalable future-proof modern ecosystem.
  • Manage Human Sample Management as a unified product across sites, labs, EDC systems, and internal LIMS, centralizing data to track specimen location, status, and chain of custody while automating reconciliations.
  • Use AI and agents to enable digital transformation, from strategy to delivery, while remaining compliant and secure.
  • Manage product roadmaps and technical enablement.
  • Lead end-to-end requirements analysis, design, and configuration.
  • Manage scrum and kanban dashboards with team and ensure timely status updates to stakeholders.
  • Gather requirements, manage enhancements, coordinate system changes and user testing, and support release and change management.
  • Operate within a product based Agile delivery model, owning roadmap execution, backlog prioritization, sprint planning, UAT, release management, and continuous improvement using Jira and ServiceNow.
  • Drive stakeholder communication, change management, and delivery transparency, including status reporting, risk management, release communications, and cost/budget tracking.
  • Work with team to create monthly/quarterly stakeholder communications, newsletters.
  • Document standards, processes, and best practices; provide training to technical and nontechnical teams.
  • Participate in governance forums to ensure alignment and cross functional collaboration.
  • Develop strong business relationships to clarify needs, anticipate requirements, and ensure solutions meet user expectations.
  • Establish end to end data governance procedures with stakeholders

Skills

Data Lakehouse
AWS
Snowflake
Databricks
R
Python
Agile delivery
GxP compliance
Regeneron Transfer Service (RTS)
SAS
R Shiny
API integration
Jira
ServiceNow
Git/Bitbucket

Education

BS/ Degree with 10+ years relevant experience
MS or MBA with 6+ years preferred

Tools

Jira
ServiceNow
Git/Bitbucket
SAS Viya/Posit

Job description

Regeneron is seeking an experienced Product Lead for the Data Lakehouse and Analytics platforms, partnering with Biostatistics Data Management, Clinical Genetics Medicine and Experimental Sciences, compliance, and IT to deliver compliant, scalable solutions. You will own requirements, roadmap, backlog, and delivery across ED data sources and RWE with strong R/Python skills and AWS cloud tools.

The role requires 4 days on-site at Warren, NJ or Armonk, NY, with no remote possibility.

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