Top Artificial Intelligence Jobs

Chief of Staff partnering with the CEO to drive enterprise execution, operating cadence, value creation initiatives, strategic planning, budgeting, board preparation, and cross-functional accountability. The role leads a 20-plus initiative program management office, strategic projects, reporting improvements, and CEO communications while supporting AI transformation, M&A integration, organizational design, and financial performance management.

Develops and maintains material distribution and transportation plans; analyzes demand, capacity, routing, workloads, costs, and operational performance. Uses data from SAP, RFID, and related systems to create forecasts, dashboards, reports, and scenario analyses. Recommends improvements to material flow, resource allocation, and service levels while coordinating with manufacturing and program stakeholders. Leads continuous-improvement initiatives and establishes repeatable planning processes and performance measures.

Provides executive leadership across operations, Finance, Technology and Information Management, People and HR, grants, facilities, shared services, and enterprise risk. The role modernizes systems and processes, strengthens cybersecurity, compliance, financial controls, business continuity, vendor management, organizational effectiveness, talent practices, and governance. It partners with executive and Board leadership while coordinating operational alignment across Oxfam’s international confederation.

Leads enterprise tooling standards and process improvements for wax injection and ceramic core dies used in investment casting. Develops tooling specifications, design guidelines, maintenance practices, supplier requirements, and technical manuals. Partners with manufacturing, engineering, quality, operations, and suppliers to improve tooling durability, quality, productivity, consistency, and cost. Evaluates advanced tooling technologies, establishes KPIs, supports new product introduction, mentors technical teams, and travels to facilities and suppliers for audits, training, and improvement initiatives.

Lead SAP cloud migration and implementation projects for U.S. Federal Government and Department of Defense customers. Manage schedules, budgets, resources, milestones, deliverables, contractual commitments, governance, risks, scope changes, and executive communications. Coordinate technical teams and customer stakeholders while supporting proposals, solution scoping, estimation, resource planning, and delivery strategy. Apply SAP methodologies to drive cloud adoption, successful implementation, customer satisfaction, and transition to operations.

Leads end-to-end delivery of complex AI technology programs across product, engineering, architecture, security, and cloud teams. Responsibilities include managing dependencies, risks, resources, governance, milestones, reporting, and stakeholder communications. The role shapes technical strategy, drives Agile practices, improves program management through AI-enabled automation and analytics, and mentors program management colleagues while ensuring scalable, compliant AI platform adoption.

Leads technology strategy consulting engagements focused on marketing and customer experience technology. Advises clients on digital ecosystems, CRM, data, analytics, AI, content, commerce, personalization, and AdTech; develops recommendations and client deliverables; facilitates discovery and executive discussions; manages analysts and coaches teams; supports business development; and advances internal consulting capabilities. The role is remote within the continental United States with travel of up to 25%.

Own new-business growth across the North Central territory by developing account and territory strategies, prospecting enterprise accounts, creating executive-level demand, and managing complex sales cycles through close. Engage IT and executive stakeholders, lead discovery and proof-of-concept processes, build business cases, negotiate deals, exceed bookings targets, and collaborate with partners and internal teams to sell software, services, and support.

Leads machine learning and software engineering teams building models, agentic systems, data pipelines, and ML infrastructure for advertising integrity and recommendations. Owns technical strategy, roadmap, model quality, reliability, privacy, and responsible AI. Partners cross-functionally to deliver measurable outcomes, scales LLM-powered ad review, contributes technically, and hires and mentors high-performing engineers.

Leads the global vision and standards for digital product experiences across brand websites, DTC, retailers, marketplaces, distributors, and emerging AI-driven commerce channels. Owns cross-channel discoverability, conversion, digital shelf performance, content and data readiness, KPI frameworks, and tooling decisions. Partners with senior Commercial, Marketing, Technology, Creative, Data, and Content Supply Chain leaders to align strategy, prioritize capabilities, and scale digital channel execution.

Drives sales excellence for Microsoft’s Cloud and AI Platform across the Americas SMB segment. Responsibilities include optimizing partner and sales programs, enforcing sales methodology and governance, improving pipeline health, guiding sales execution transformation, supporting predictable revenue growth, and partnering with business, finance, and sales operations teams on planning. This individual contributor role requires strategic influence, stakeholder management, data-driven decision-making, and execution in complex environments.

Leads enterprise AI and data strategy, investment, architecture, governance, and production delivery for mobility and related businesses. Oversees predictive and generative AI, agents, automation, MLOps, LLMOps, trusted data platforms, responsible AI controls, and measurable business outcomes. Manages architecture, analytics, and automation leaders while coordinating shared capabilities across businesses. Owns budgets, roadmaps, adoption, workforce development, risk management, and executive communication.

Leads supply chain intelligence initiatives involving dashboards, reporting, forecasting, demand planning, inventory, procurement, logistics, and AI-enabled solutions. Serves as a subject matter expert for supply chain systems and analytics, improves data governance and operational visibility, supports system implementations, and provides recommendations to executives. Collaborates with Supply Chain, Operations, Finance, and IT teams while leading reporting automation, process improvement, training, and cross-functional projects.

Lead design and delivery of hospitality-focused learning programs for property management across the U.S., embed service standards, run onboarding and ongoing training, measure program ROI, conduct onsite coaching and assessments, partner with leadership and HCM, manage logistics and vendor relationships, and drive continuous improvements in customer experience.

Manages sales and assets-under-management data operations across third-party distribution channels. Owns data feeds, quality standards, territory and compensation data, Salesforce integrations, ETF reporting, vendor relationships, controls, stakeholder reporting, and process automation. Partners with sales, Finance, technology teams, custodians, recordkeepers, and data providers to resolve discrepancies and improve reporting accuracy.

Owns the AI strategy, roadmap, and initiative portfolio for assigned business areas. Identifies and prioritizes AI opportunities, translates business needs into compliant AI solutions, and partners with stakeholders, IT, and AI teams to deliver outcomes. Builds less complex AI agents using approved tools, supports technology adoption, monitors KPIs, and uses analytics, feedback, and market trends to guide continuous improvement and investment decisions.

Leads Tier 1 and Tier 2 technical customer support teams, coaching employees and managing service quality, staffing, workflows, and support metrics. Partners with Product, Engineering, QA, Customer Success, and Implementation to resolve recurring issues and improve the product. Develops AI strategies for ticket triage, knowledge management, quality assurance, analytics, and workflow efficiency while maintaining strong customer outcomes.

Leads technology strategy consulting engagements focused on marketing and customer experience technology. Advises clients on technology ecosystems, vendor capabilities, architecture, analytics, AI, data, personalization, content, commerce, and AdTech. Directs discovery sessions, client presentations, recommendations, deliverables, business development, and internal capability initiatives. Manages and coaches consulting analysts while building thought leadership and translating technology goals into actionable programs across channels and media.

Leads AT&T’s federal sales strategy for the U.S. Navy and Marine Corps. Responsibilities include developing go-to-market plans, coaching sales teams, shaping pre-RFP opportunities, managing strategic pursuits, building executive customer and partner relationships, coordinating matrixed teams, and owning pipeline, bookings, revenue, margin, forecasts, and CRM discipline. The role requires federal acquisition expertise, technology fluency, complex enterprise sales experience, regular travel, and potential government clearance eligibility.

Lead the company-wide engineering organization and technical strategy while remaining hands-on with architecture, coding, and code reviews. Own AWS infrastructure, reliability, security implementation, cloud costs, disaster recovery, and incident response. Partner with security, product, and business stakeholders to deliver scalable fintech, digital asset, and AI solutions. Manage budgets, vendors, engineering processes, technical debt, hiring, and organizational development.

Develops and maintains profitable vehicle transportation pricing across customer and market segments. Responsibilities include lane-rate analysis, market benchmarking, pricing models, forecasting, dashboards, margin analysis, billing audits, contract and bid pricing, rate governance, and data-quality validation. Partners with Sales, Operations, Finance, Data Science, and Engineering to recommend pricing changes, improve profitability, and communicate analytical findings.

Leads technology risk assessments and mitigation initiatives across enterprise services, including cybersecurity, cloud, infrastructure, data, resilience, and third-party functions. Advises stakeholders on risk management frameworks, regulatory changes, controls, process improvements, and emerging risks. Manages multiple projects, facilitates assessments, communicates outcomes to senior leadership, and drives operational efficiency and risk reduction.

Leads strategic HR partnership for Capital One’s Applied AI and technology organizations. Responsibilities include organizational design, talent and workforce planning, succession planning, recruiting and retention strategy, executive coaching, job architecture, human capital risk mitigation, and scaling an AI organization from 800 to 1,200 employees. The role partners with senior leaders and HR functions to develop talent strategies, manage scarce AI/ML talent, support enterprise HR initiatives, and drive organizational effectiveness.

Leads Parexel’s HEOR modeling service line, overseeing client engagements, project delivery, profitability, business development, team leadership, and strategic growth. Advises senior clients on evidence generation, cost-effectiveness analysis, health policy, and market access. Develops AI-enabled HEOR methodologies using machine learning, natural language processing, analytics, and predictive modeling. Partners with scientists and health economists, represents the organization externally, and manages service-line strategy, budgets, forecasts, revenue, and performance.

Leads planning, coordination, integration, testing, deployment, and adoption of AI capabilities across USMEPCOM mission workflows. Coordinates government stakeholders and multidisciplinary technical teams, manages roadmaps, dependencies, risks, security controls, data readiness, MLOps, user acceptance testing, training, operational handoffs, and performance measurement. Requires an active Secret clearance, 12 years of relevant experience, and expertise leading AI implementation initiatives in operational or government environments.