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      Role Summary
In Research and Pre-Clinical Development IT, we deliver complex enterprise systems to help the Research Scientists at Regeneron solve their toughest business problems. We bring together multi-disciplinary, highly skilled technical teams to deliver high-quality system solutions and services that deliver business value. The Associate Director - IT Data Management works closely with other IT partners and scientists to organize, manage, and transform biological research data into scientific insights more quickly. You will leverage data platforms, architecture, design, implementations, testing, and deployment of scientific data applications into data solutions and visualization platforms that inform scientists in a user-friendly fashion. Location: Global Research HQ, Tarrytown, NY with a minimum of 4 days onsite required; this is not open to fully remote or hybrid work.
Responsibilities
- Contributes to strategic planning to ensure optimized use of data management resources within the area of responsibility.
- Collaboration with Data SMEs and Scientists to improve data models, increasing data accessibility and promoting data-driven decision making
- Manages the team designing/developing Data Solution that includes data warehouses, data stores, data lakes, data pipelines, machine learning and other business intelligence and analytics systems
- Manages R&D IT & Research Users demands around data solutions throughout the complete lifecycle, starting from demand to definition, design, development, maintenance and operations of data solutions for business insights, leveraging data platform solutions
- Implements and drives strong data governance, data security and management frameworks, policies, protocols and standard operating procedures for R&D functions.
- Standardizes quality assurance and testing processes to enhance data quality and accuracy.
- Develops standards, policies and procedures for the form, metrics, structure and attributes of the data intelligence tools and systems.
- Provides process maturing data stewardship for research data.
- Mentoring on approach and execution of solutions, coaching on technologies, and establishing a team-wide comprehension of solution capabilities and direction
Qualifications
- Effectively manage the delivery of BI, Big Data, Data Lake & Data Warehouse solutions, scaling appropriately for different stakeholders.
- Inspire software development teams, lead training initiatives and demonstrate a capacity to educate team members.
- Collaborate with other IT teams, vendor partners, internal collaborators, and architects to deliver business solutions; being an advocate for a DevOps approach to the software development lifecycle.
- Operate efficiently within Agile development methodologies, leading software development teams in an Agile/Lean/Continuous Delivery environment.
- Formulate and articulate the technical and political implications of creating and delivering transformative technical solutions in an innovative, high-growth, demanding business area
- Work directly with Senior IT Leaders in an advisory role on technical strategies.
- Operate both autonomously and in groups across a highly matrixed organization with a deadline-oriented, continuous-improvement mindset.
Education
- Advanced degree in Biology or Advanced degree in Computer Science; 10+ years of experience working on Big Data Platforms (EMR & Hadoop preferable) of any size/scale. Relevant experience working within R&D IT programs for Pharma / Biotech highly preferred.