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Administers and analyzes sales compensation programs, including commission payout processing, data auditing, dispute resolution, plan modeling, reporting, and dashboard maintenance. Partners with sales, finance, and HR teams to ensure accurate payouts, compliance, documentation, and process improvements. Requires strong Excel modeling skills, CRM and incentive compensation platform experience, analytical ability, communication skills, and independent judgment.

Leads equipment finance sales and business development for commercial clients. Builds relationships, identifies opportunities, structures and negotiates complex financing transactions, coordinates internal product partners, oversees deal execution, advises senior leadership, develops client portfolios, represents the bank externally, and mentors junior staff.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Conduct AWS cloud threat hunting for global clients using Falcon, threat intelligence, cloud logs, queries, and scripts. Review configurations, identify adversarial activity and unauthorized access risks, develop defensive recommendations, and manage client projects. Communicate findings through technical reports, presentations, and stakeholder briefings, including to CISO-level audiences, regulators, and legal counsel.

Design, build, and operate agentic AI systems end-to-end for Professional Services. Translate stakeholder needs into secure, scalable multi-agent architectures, define performance benchmarks, manage deployments and incident response, advise leadership, mentor teammates, and maintain runbooks and production tooling including on-call responsibilities.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

Lead quantitative UX research across R&D, shaping high-stakes product investments and AI experience decisions. Develop psychometric frameworks, surveys, segmentation, usability benchmarks, pricing research, and statistical models. Partner with Data Science to integrate behavioral and attitudinal data, establish scalable research standards, mentor researchers, and enable non-researchers to conduct rigorous studies. The role requires executive-level influence, expertise in AI-powered products, and hands-on proficiency with SQL, Python, and Qualtrics.

Lead design, configuration, and optimization of Workday modules; architect business processes, calculated fields, security, and reports; drive reporting, data quality, testing/UAT, release readiness; provide expert support, mentor teammates, and partner with People and IT stakeholders.

Lead full-cycle recruiting for Product teams, partnering with Product leaders on workforce planning, sourcing, talent assessment, hiring strategy, and candidate experience. Build pipelines for Product Management, Operations, Design, and Leadership roles; provide market and compensation insights; use recruiting metrics to improve hiring outcomes; maintain ATS data integrity; implement scalable processes; and mentor recruiting teammates.

Provides strategic consulting and financial guidance for cross-border engagements, including pricing, immigration, contracts, taxes, security, and compliance. Conducts international tax research, manages engagement risks, advises stakeholders, and builds relationships across member firms. Leads teams through ambiguity, coaches employees, validates outcomes, communicates complex issues clearly, and reinforces professional, technical, and independence standards.

Manage infrastructure reliability and performance for internal business services. Implement site reliability engineering and DevSecOps practices, monitor system health, automate infrastructure management with PowerShell, troubleshoot enterprise environments, remediate vulnerabilities, and support Relativity, Nuix, Azure, Windows, Linux, and SQL Server. Collaborate with stakeholders and vendors, maintain technical documentation, apply ITIL incident and change management, solve complex infrastructure issues, and mentor junior team members.

Advises finance leaders on transforming financial planning, consolidation, reporting, analytics, budgeting, and forecasting processes. Implements and manages Anaplan solutions, performs complex financial analysis, builds dashboards and reports, improves operational efficiency, identifies cost-reduction opportunities, and mentors junior team members while maintaining professional standards in client engagements.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Own and expand Apollo’s partnerships with foundation model companies, agent harnesses, and AI-native platforms. Identify new integration surfaces, drive partner certification and compliance, develop monetization strategies, and coordinate multi-party partnerships. Collaborate with R&D to design and launch MCP servers, plugins, skills, and agent tools while tracking fast-changing AI ecosystem developments and shaping Apollo’s partnership strategy.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.