Data Science Operations Support Manager (Remote)

Jazz Pharmaceuticals; Philadelphia (Philadelphia County); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Science Operations Support Manager to join their dynamic team. This role is pivotal in managing vendor engagements and driving operational excellence within the Data Science department. You will collaborate across functions to streamline resource management and improve processes, ensuring the department's success. If you possess a strategic mindset, excellent problem-solving skills, and a passion for operational improvement, this is the opportunity for you to make a significant impact in a fast-paced environment. Join a forward-thinking company where your contributions will help shape the future of data science operations.

Qualifications

• 5+ years of experience in operations, project management, or department management role.
• Experience in the life sciences industry preferred.

Responsibilities

• Cultivate relationships with vendors and manage inquiries and onboarding.
• Oversee Data Science portfolio management tool and ensure accuracy.

Skills

Project Management

Vendor Management

Analytical Thinking

Problem Solving

Leadership

Communication Skills

Collaboration

Education

High School Degree

Bachelor's Degree

Tools

Microsoft Office Tools

Smartsheets

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

1. Cultivate and maintain positive relationships with vendors, assisting with inquiries, onboarding, and issue resolution.
2. Establish governance protocols in partnership with procurement to ensure the accuracy, consistency, and reliability of vendor relationships.
3. Develop and maintain FSP worker documentation, such as vendor profiles, contract summaries, and feedback details to ensure accuracy, transparency, and a valid resourcing forecast.
4. 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.
5. Oversee and work collaboratively with members of study teams to ensure portfolio timelines are accurate.
6. Present and exchange information about projects and areas of responsibility to team members and functional peer groups.
7. Act as an advisor to functions as an SME of operations.
8. 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.
9. Build strong working relationships with key stakeholders across the business to ensure delivery of key aspects of operational effectiveness.
10. Contribute to operational process improvements and problem solving.
11. Support the Data Science department with LMS and time reporting compliance.
12. Track, analyze and report on internal and external resourcing across within and across functions and studies.
13. Support Head of Data Science Operations to enable tools and systems to deliver and track effective operational developments.
14. 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

1. Previous experience either within operations and/or logistics and planning is preferable.
2. Knowledge of project management methodologies and tools, with the ability to coordinate tasks, track progress, and report on project status effectively.
3. High degree of professionalism, integrity and collaboration required.
4. Ability to multitask and prioritize competing demands in a fast-paced environment, while maintaining a high level of accuracy and professionalism in all activities.
5. Strong leadership, team building, negotiation and ability to execute a must.
6. Experience driving best practices and operational excellence in a dynamic, cross-functional environment.
7. Analytical thinker with strong attention to detail.
8. Excellent writing and communication skills and excellent interpersonal skills.
9. Collaborative and actively seeks to partner with cross-functional and matrix teams.
10. Exhibits strong organizational skills and able to manage multiple priorities, meetings and logistics.
11. Able to think ‘big picture’ to develop holistic, integrated monthly reports and/or dashboards for Data Science teams.

Required/Preferred Education and Licenses

1. High school degree required, bachelor’s degree is preferred.
2. A minimum of 5 years of experience in operations, project management, or department management role. Experience working in the life sciences industry working within global teams preferred.
3. Knowledge of Microsoft Office Tools, Smartsheets, and the ability to learn new operations/project management software as needed.
4. Certification in project management is a plus.