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The SSDI Integration Operations Lead at Agilent will be responsible for managing integration operations and technical lead functions, collaborating with technical teams, supporting application integrations, and providing technical guidance. Key responsibilities include setting up support operations, managing iPaaS and identity management technology, configuring and integrating applications, reviewing technical designs, managing solution deployments, and owning support of implemented solutions.

The OFS Portfolio & Project Management Lead will be responsible for developing and implementing portfolio and project management capabilities across OFS globally. This role involves defining standards, guidelines, and processes, enhancing tools and reporting systems, executing strategic programs, and providing mentorship and guidance to project managers. The ideal candidate will have 8 years of experience in project management and experience with tools like Smartsheet and Sharepoint.

Delivers scientific/technical expertise to drive sales, provide customer support, integrate products into customer environments, and troubleshoot issues. Communicates with sales partners, R&D, and product marketing, and ensures customer satisfaction. May present at conferences. Requires 5-7+ years of relevant experience and a Bachelor's or Master's degree.

Develop and drive sourcing strategies for an assigned region or business unit. Lead sourcing projects, negotiate contracts, and ensure compliance with company policies. Collaborate with internal and external partners to maximize value for the company. Requires strong communication, project management, and negotiation skills.

Preparing SEC filings, consolidation activities, acquisitions, maintaining accounting and finance manual, financial closes, financial statement preparation, compliance with policies, government agency filings, and collaborating with various finance teams.

Responsible for financial forecasting, budgeting, reporting, and operational metrics tracking. Analyzing past results, performing variance analysis, and identifying trends. Providing recommendations for improved decision-making and driving process improvements.

Lead global and cross-functional teams to develop data analytics solutions for business decision-makers, leveraging enterprise systems, coding skills, business intelligence technology, and cloud services. Apply statistical techniques to analyze structured/unstructured datasets, develop metrics, and create data models, reports, analytics, dashboards, and machine learning solutions. Manage projects and support solutions throughout lifecycle.