Data Science Operations Support Manager (Remote)

If you are a current Jazz employee please apply via the Internal Career site

Jazz Pharmaceuticals plc (NASDAQ: JAZZ) is a global biopharmaceutical company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines and novel product candidates, from early- to late-stage development, in neuroscience and oncology. We actively explore new options for patients including novel compounds, small molecules and biologics, and through cannabinoid science and innovative delivery technologies. Jazz is headquartered in Dublin, Ireland and has employees around the globe, serving patients in nearly 75 countries. For more information, please visit www.jazzpharma.com and follow @JazzPharma on Twitter.

Job Description

The Data Science Operations Support Manager will be an integral component of Jazz’s Data Science Operations team and report directly to the Head of Data Science Operations. The role responsibility reaches across all Data Science (DS) functions. The Data Science Operations Support Manager will be accountable for driving DS vendor engagements for department resourcing efforts, as an end-to-end process. They will drive process for the engagements, inclusive of vendor selection and management, cross functional collaboration with legal and compliance partners, as well as finance.

The Data Science Operations Support Manager will provide strategic support to the Data Science Department in assisting functions with resource management,  portfolio system support, and compliance.  They are responsible for providing streamlined external personnel management, establishing assessments of the department’s book of work, and interacting with vendors.  They will oversee resourcing projections for the functions within Data Science. This will also include tracking, analyzing and reporting on metrics in order to identify and implement on process improvement opportunities and report back to the business on the metrics and areas of improvement.

We are looking for someone who combines strategic mindset, excellent problem solving, natural curiosity, humility, and a strong work ethic to join our team.

Essential Functions

• Cultivate and maintain positive relationships with vendors, assisting with inquiries, onboarding, and issue resolution.
• Establish governance protocols in partnership with procurement to ensure the accuracy, consistency, and reliability of vendor relationships..
• Develop and maintain FSP worker documentation, such as vendor profiles, contract summaries, and feedback details to ensure accuracy, transparency, and a valid resourcing forecast.
• Oversee and maintain the Data Science portfolio management tool, including development of resourcing needs across all functions over a 3, 6, and 12 month period.
• Oversee and work collaboratively with members of study teams to ensure portfolio timelines are accurate.
• Presents and exchanges information about projects and areas of responsibility to team members and functional peer groups
• Act as an advisor to functions as an SME of operations
• Develop and support the creation of operations playbooks to ensure optimal use of analytics tools and platforms utilized to deliver in areas of accountability such as resource management, and portfolio oversight.
• Build strong working relationships with key stakeholders across the business to ensure delivery of key aspects of operational effectiveness
• Contribute to operational process improvements and problem solving
• Support the Data Science department with LMS and time reporting compliance
• Tracking, analyzing and reporting on internal and external resourcing across within and across functions and studies.
• Support Head of Data Science Operations to enable tools and systems to deliver and track effective operational developments.
• Stay updated on industry trends, best practices, and regulatory changes related to vendor management, proactively identifying opportunities for process improvement and risk mitigation within the data science organization.

Required Knowledge, Skills, and Abilities

• Previous experience either within operations and/or logistics and planning is preferable.
• Knowledge of project management methodologies and tools, with the ability to coordinate tasks, track progress, and report on project status effectively.
• High degree of professionalism, integrity and collaboration required
• Ability to multitask and prioritize competing demands in a fast-paced envir