Business Administration & Operations Associate

Job Number:
3260529

POSTING DATE: Oct 14, 2024

PRIMARY LOCATION: Europe, Middle East, Africa-Hungary-Budapest-Budapest

EMPLOYMENT TYPE: Full Time

JOB LEVEL: Associate

DESCRIPTION

• Strategic Project Management: Lead project planning, execution, and monitoring ensuring deliverables are met within scope, timeline, and budget.

• Budget: Work closely with Finance to maintain annual budget, communicate status across leadership team, and ensure team is operating within budgeted spend.

• Talent & Resource Management: Maintain regular headcount reporting, and work in close partnership with Human Resources and Recruiting to track status of open headcount across department. Partnering with Sourcing and Finance, ensure proper contracts and onboarding of Consulting engagements and temporary employees. Review regular analytics to ensure compliance with policies and operations within budget, advising managers as needed.

• Employee Engagement: Contribute to agenda content and organization, may prepare materials for senior management and/ or team events

• Onboarding: Assist with onboarding activities for employees and contingent workers – to include coordination with HR/ sourcing, as well as providing new hire materials and guides. Additional projects may include involvement with training & development opportunities, senior management presentations, preparation for senior management meetings

• Access Management: Assist with Service Now Ticket Reviews, EPR request secondary approvals, Recurring Entitlement Mgmt. (Aveksa, Enterprise Role reviews, In/Out of role reviews, etc.), Review dashboard/Metrics, etc.

QUALIFICATIONS

• Excellent communication and presentation skills, with the ability to articulate ideas clearly and persuasively to diverse audiences.

• Ability to thrive in a face-paced, dynamic environment and adapt quickly to changing priorities and requirements.

• Passion for innovation and a commitment to staying updated in the latest advancements in AI technologies and training methods.

• Financial Services Industry experience

• Experience in developing and delivering training programs, particularly in the areas of AI, machine learning and/or data analytics.

• Understanding of AI concepts and tools, with the ability to simplify complex technical concepts for non-technical audiences.

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