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Manage financial administration for assigned clinical studies, including revenue tracking, invoicing Sponsors and CROs, collections, account reconciliation, payment monitoring, discrepancy resolution, and month-end close support. Maintain accurate study data in Clinical Conductor, coordinate with clinical teams and sponsors, monitor aging and DSO targets, prepare AR reporting, and follow financial and regulatory procedures.

Executive leader responsible for driving profitable revenue growth, market share, customer expansion, and sales organization performance. Oversees new equipment, aftermarket, dock and door, inside sales, business intelligence, and marketing functions. Develops sales strategy, forecasting, performance metrics, customer relationships, marketing direction, and cross-functional alignment while managing P&L and financial results. Requires regional travel and executive-level leadership across a complex industrial sales organization.

Supports accounts receivable and revenue operations by managing customer contracts, billing, invoicing, variable revenue transactions, journal entries, reconciliations, and month-end accounting. Maintains Workday records and billing schedules, researches discrepancies, processes transactions, supports audits, and identifies process improvements. The role requires strong accounting knowledge, advanced Excel skills, attention to detail, effective communication, and the ability to manage multiple priorities and deadlines.

Supports the Finance team by managing accounts payable and receivable, vendor records, invoices, purchasing, payments, cash balancing, bank deposits, childcare billing, collections, and supply inventory. The role also handles tax documentation, credit card accounts, vendor relationships, financial postings, and daily cash operations while collaborating with departments and assisting with finance projects.

Develop advanced statistical and machine learning algorithms for weather, climate, and catastrophe modeling. Collaborate with scientists and engineers, analyze large atmospheric datasets, and conduct model sensitivity and validation testing. The role requires strong statistical expertise, machine learning experience, knowledge of extreme value models and statistical inference, and the ability to communicate and work independently or collaboratively.

Manage end-to-end procurement for pharmaceuticals, medical devices, and healthcare products. Oversee purchase orders, supplier relationships, negotiations, product availability, DSCSA compliance, cost analysis, reporting, and process improvement. Collaborate with Finance, Pricing, Inventory Control, Fulfillment, Client Success, and Operations to meet demand and service-level commitments. Lead vendor qualification and performance reviews while directly managing a Procurement Specialist.

Coordinates department workflow, assigns and reprioritizes work based on capacity and business needs, monitors progress, arranges coverage, and communicates with management, staff, and other business areas. Maintains operational tracking tools and systems to provide visibility into assignments, work status, and outstanding tasks.

Support DoD systems engineering reviews and interoperability assessments by evaluating ISPs/SEPs, identifying technical risks, drafting prioritized comments, entering comments into JASM, advising on technical readiness, producing briefs, participating in review boards, and developing an AI-enabled automation tool to streamline SEP review tasks.

Leads cybersecurity architecture and implementation across corporate IT, cloud, data centers, mining operations, OT, and AI environments. Designs security standards and controls, oversees IAM, monitoring, EDR, vulnerability management, incident response, application and data security, and supports governance, risk, compliance, audits, and third-party assessments. Partners cross-functionally to secure platforms and integrations, validates control effectiveness, develops operational documentation, and mentors technical stakeholders.

Build and operate backend services, batch and real-time data pipelines, document-processing systems, APIs, integrations, and data models supporting an AI platform. Develop reliable OCR and LLM workloads, data quality monitoring, secure exports, cloud infrastructure, and CI/CD workflows. Design for distributed-system failures, authentication, authorization, and sensitive-data protection. Contribute to architecture decisions, maintain legacy services, support internal tools, mentor junior engineers, and improve engineering standards.