The Accounts Receivable Specialist - Cash Application is responsible for accurately applying customer payments to open invoices, reconciling daily cash activity, researching unapplied or unidentified payments, and supporting the integrity of accounts receivable records. You will play a key part in the order-to-cash process by ensuring payments are posted timely and accurately, customer accounts remain current, and cash application exceptions are resolved efficiently. | | **This position is not available to residents of California**.
Responsibilities
- Post and accurately apply customer payments received through ACH, wire transfer, lockbox, check, credit card, electronic remittance, and customer portals by matching remittance details to the appropriate customer accounts and open invoices | - Research and resolve unapplied or unidentified cash, missing payments, short payments, overpayments, deductions, and other payment discrepancies | - Partner with Accounting to reconcile daily cash postings to bank deposits, lockbox reports, credit card clearing accounts, and applicable general ledger accounts | - Support month-end close activities related to cash application, including the preparation and maintenance of accurate reconciliation records and supporting documentation | - Serve as the primary Cash Application contact for processing approved refunds related to online purchases, sales-assisted purchases, and Annual Maintenance Fees transactions | - Maintain cash application procedures, reconciliation documentation, exception research, adjustment support, and other records in accordance with company policies and audit requirements | - Analyze recurring cash application exceptions and recommend process improvements that reduce unapplied cash and improve posting accuracy | - Meet established daily processing and service-level expectations while maintaining accuracy in a high-volume accounts receivable environment | - Support ERP and CMS implementations, enhancements, and upgrades by participating in system testing and updating related procedures and user documentation | - Provide timely, professional service to internal and external customers through the case management system and AR mailbox | - Perform other duties as assigned
ISC2 is building a modern lakehouse and using it to run machine learning across the membership business. This role covers the whole path, from the pipelines that produce the data through to results a stakeholder actually uses. The Lakehouse Machine Learning (ML) Engineer writes production Python and Spark against a governed lakehouse, spends real time exploring data before deciding what’s worth modeling, and deploys and monitors models once they’re live. As the platform matures there is room to take on applied LLM work. The lakehouse runs on Azure Databricks; deep experience on a comparable stack transfers. | | **This position is not available to residents of California**.
Responsibilities
- Build and maintain Python/Spark pipelines through bronze, silver, and gold layers, plus the semantic datasets and ML models that consume them. | - Dig into the data before modeling it. Work out what it can support, build and test the features that come out of that exploration, then coordinate with stakeholders about which questions are worth answering and which aren’t. | - Work across a range of model types: survival and time-to-event, forecasting, classification and propensity, sequence models, recommenders, causal evaluation. | - Put models into production and keep them there - Experiment tracking, model registry, scheduled inference, and monitoring for drift and decay once they’re live. | - Get results to the people who need them. That means landing output in governed semantic tables feeding dashboards and CDP systems, and being able to walk a business team through what the numbers mean. | - Take on applied LLM work as the platform matures, including structured extraction from free text, and retrieval over governed data. | - Build inside the platform’s security and governance requirements rather than around them. Access controls, data protection, auditability, and human review where model output drives a decision that affects a member. | - Turn what works into reusable patterns, including project templates, shared feature and evaluation code, and implementation standards, so the next model doesn’t start from a blank notebook. | - Prove things out before they get built for real - Small proofs of concept that establish whether the data supports the theory, whether the approach holds up, and whether the result can actually be operated once it’s live. | - Perform miscellaneous duties, as required.
The CRM Business Director will serve as the business-facing owner for ISC2’s Salesforce CRM ecosystem, bridging business strategy and technical execution to ensure the platform enables consistent, scalable and secure customer, member, partner and sales operations. | This role will define and maintain the Salesforce platform roadmap, align on CRM business needs across functions, prioritize enhancements, and partner with technical teams to deliver solutions that improve user experience, data quality, reporting, workflow efficiency and business outcomes. | The incumbent will be accountable for functional alignment across sales and related stakeholder groups, including functional profiles, role-based access needs, data visibility expectations, process standardization and adoption of CRM best practices. This role ensures Salesforce remains trusted, governed and aligned to ISC2’s strategic objectives. | | **This position is not available to residents of California**.
Responsibilities
- Own the business roadmap for Salesforce CRM, including prioritization of enhancements, backlog management, and coordination of UAT to enable release readiness and value realization. | - Partner with Sales, Marketing, Member Services, Finance, Data, PMO, IT, Security and other stakeholders to define CRM capabilities that support business strategy and operational excellence. | - Translate business objectives into clear requirements, user stories, process flows, acceptance criteria and success measures for Salesforce configuration, integration, reporting and user experience improvements. | - Serve as the primary business decision-maker for CRM scope, prioritization and tradeoffs, balancing stakeholder needs, technical feasibility, risk, compliance and expected business value. | - Own business decision rights for CRM changes, including intake, prioritization, approval of requirements, adoption expectations and post-release validation. | - Partner with Salesforce administrators, architects, developers, business analysts and implementation partners to ensure solutions are scalable, secure, maintainable and aligned to platform standards. | - Define and govern functional profiles, roles, permissions, data visibility requirements and business rules in partnership with IT, Information Security and data governance stakeholders. | - Support data integrity across sales and related teams by establishing ownership expectations, data standards, validation needs, quality monitoring and remediation priorities. | - Drive CRM adoption through stakeholder engagement, change readiness, training input, communications, user feedback loops and adoption metrics. | - Partner with the PMO and IT functions to orchestrate CRM intake and enhancement governance, ensuring requests are evaluated, prioritized and aligned to enterprise priorities rather than isolated team preferences. | - Collaborate on integrations between Salesforce and connected systems, including data flows, process impacts, business rules and downstream reporting needs. | - Support dashboards, reports and KPIs that provide reliable visibility into pipeline, account activity, relationship management, membership or customer engagement, adoption and operational performance. | - Participate in testing, UAT planning, release communications and post-release validation to confirm delivered functionality meets approved business requirements. | - Perform according to the following success measures: | - | - | - Timely delivery of high-value enhancements with well-defined requirements, testing and release readiness. | - Improved CRM adoption, usability and stakeholder satisfaction across sales and related business functions. | - Higher data quality and confidence in Salesforce reporting, dashboards and operational metrics. | - Clear, prioritized CRM roadmap aligned to enterprise goals and business value. | - Reduced process variation, clearer ownership and stronger governance across CRM workflows, access expectations and data standards. | | | | | - Perform miscellaneous duties, as assigned. | - | -
The AI Architect will provide strategic and technical leadership for the organization’s AI ecosystem by translating business priorities into scalable, secure, and governed solution designs. This role is responsible for defining and documenting AI use cases and target delivery models, establishing the current and future-state AI architecture across the enterprise landscape, evaluating build-versus-buy options, and guiding proof-of-concept strategies and reusable implementation patterns. The position also drives operational maturity by embedding monitoring, feasibility of telemetry across the AI landscape, observability, governance, and change management practices that enable AI capabilities to scale effectively across delivery teams while supporting reliable, compliant, and business-aligned adoption. | | **This position is not available to residents of California**.
Responsibilities
- Define and document enterprise AI use cases, business value drivers, and target delivery models that align with organizational goals and objectives. | - Develop and maintain current-state and target-state AI architecture across the enterprise, including platforms, data flows, integration patterns, security controls, and governance requirements. | - Lead build-versus-buy evaluations for AI platforms and services, and provide appropriate recommendations. | - Establish reusable AI architecture patterns, reference models, and implementation standards to support consistent delivery. | - Guide proof-of-concept and pilot strategies to validate solution feasibility, technical design, business value, and operational readiness before broader adoption. | - Drive scalable AI operations by embedding monitoring, telemetry, observability, governance, and change management practices across the AI lifecycle. | - Partner with architecture, engineering, data, security, product, and business stakeholders to translate requirements into secure, reliable, and governed AI solutions. | - Define key deliverables for the function, including AI architecture models, proof-of-concept strategies, and delivery patterns that accelerate enterprise adoption. | - Perform miscellaneous duties, as required.