Artificial Intelligence

• Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
• Analyze structured and unstructured datasets to generate actionable insights
• Assist in data preparation, feature engineering, and model validation
• Translate business requirements into technical specifications under guidance
• Contribute to client deliverables, documentation, and presentations
• Collaborate with data engineers, data scientists, and business stakeholders
• Apply responsible AI, data governance, and security principles in delivery

AI/Data Consultant – Fraud

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Identify and engage experts to contribute opinion articles, interviews, and case studies relevant to defense technology and industry.
• Host episodes of the vertical's dedicated podcast.
• Ensure content alignment with the vertical's tone, style, and objectives.
• Review and edit all content for clarity, accuracy, and consistency.
• Balance contributions across private sector, academic, and government perspectives.
• Manage and work with junior staff.
• Create and oversee the editorial calendar and production timeline.
• Monitor performance, feedback, and survey responses to assess and enhance audience engagement.
• Ensure that the vertical continues to live up to the best-in-class reputation of *War on the Rocks.*
• Serve as the vertical's spokesperson and evangelizer.
• Work closely with key stakeholders, including the vertical's sponsor(s) and partner(s).

Executive Editor – Military AI

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.
• Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.
• Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).
• Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.
• Be personally accountable for a finance-verified outcome the client can see in their P&L.
• Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.
• Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.
• Codify the method after each deployment so the next one requires less ramp-up.

Client Deployment Lead, AI

• Design, build, and refine AI-powered workflows that support research synthesis, deliverable drafting, proposal coordination, market analysis, and knowledge management.
• Develop and maintain a library of prompt templates calibrated to GEN Advisory’s specific work.
• Manage the practice’s AI knowledge base: organize past project materials, methodologies, and reference content so they are accessible to AI platforms as context for future work.
• Identify bottlenecks in current workflows where AI assistance would have the highest impact; prototype solutions and bring them to the team for feedback.
• Apply AI tools to operations functions: utilization tracking, assignment pipeline reporting, revenue data synthesis, and team reporting, working in coordination with the Director of Operations.
• Conduct market research, demographic analysis, and comparable transaction research to support active client engagements.
• Assist with financial modeling, development pro formas, lease comparisons, portfolio cost analyses, all under direction of senior advisors.

AI Analyst – Government, Education, Non-Profit Advisory

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• Set the Digital & AI direction for the Service Line
• Create an Architecture + Urbanismspecific digital & AI strategy in the context of our 3yr-out vision and strategy of the Architecture + Urbanism, and the strategic priorities of Industries & Sectors.
• Define and regularly update “digital must-win” areas by conducting competitor analyses and gap analysis within existing portfolio of tools and digital products and partnerships.
• Identify which Architecture + Urbanism delivery domains and workflows must be redesigned.
• Setup collaboration rhythm with Digital Intelligence, Investment governance, pipeline management approach and prioritization framework, change network, CoPs, etc.
• Set clear objectives for the transformation that link to overall Architecture + Urbanism performance metrics.
• Own the Opportunity Portfolio
• Collect and pro-actively source digital opportunities and use cases within the organization, in close collaboration with peers in other Service Lines and Industries.
• Kick-start and actively participate in AI studios around the most promising opportunities, to quickly validate and potentially prototype, ideally in real client settings.
• Work closely together with Digital Intelligence counterparts to make buy/build/partner decisions, as well as start/continue/stop decisions, following pre-set guidelines.
• Actively stop or kill initiatives that do not demonstrate clear value, adoption potential, or strategic fit.
• Participate regularly in client conversations to better understand client needs.
• Act as primary interface and product sponsor to product managers, e.g., help get funding, set requirements, mobilize business SME involvement, anything needed to deliver at pace.
• Rewire Service Delivery workflows
• Redesign end-to-end Architecture + Urbanism delivery workflows to embed digital and AI where they materially improve outcomes.
• Work with Service Line leadership to support adjustments to new ways of working.
• Embed Digital & AI in our capabilities and drive adoption
• Build a local network of digital & AI champions (change agents and catalysts) within each Service Area Group.
• Strengthen foundational digital skills and AI usage within the organization (e.g., Drive Citizen Development participation, measure and steer on AI usage, make part of SPO)
• Setup adoption campaigns around new tooling / digital products, and ways of working, incl. training programs and updated global procedures.
• Strengthen data foundations and other boundary conditions
• Turn global data strategy into an actionable plan within the service line, with clear focus around the priority areas (digital must-wins).
• Create knowledge and data libraries around discipline areas, managed within Communities of Practice.
• Setup data governance (who collects, who structures and maintains) and measure adherence and progress.
• Define any other pre-requisites for digital innovation and bake into transformation plan.
• Own the Architecture + Urbanism Digital and AI innovation backlog and roadmap, in partnership with Digital Intelligence, ensuring alignment to strategic priorities and measurable value delivery.
• Drive investment prioritisation and portfolio transparency within the Innovation governance framework, enabling clear decision-making and optimal allocation of resources.
• Champion digital adoption across the Architecture + Urbanism workforce and project delivery, working closely with Services leadership to embed tools, behaviours, and ways of working that maximise impact.

Digital & AI Transformation Director – Architecture, Urbanism

• Research emerging trends in AI, medicine, cardiology, digital health, clinical decision support, and health care data markets.
• Track competitive developments involving medical AI companies, large language models, clinical knowledge platforms, registry-based analytics, and AI-enabled education or certification products.
• Prepare concise written briefs, memos, slide content, and background materials for senior leadership, task forces, committees, and Board-level discussions.
• Support analysis of potential ACC product and business opportunities, including registry-enabled research tools, AI-assisted clinical knowledge products, education offerings, certification pathways, and industry-facing data services.
• Help document use cases, market needs, customer segments, risks, dependencies, and implementation considerations for proposed AI and innovation initiatives.
• Assist with stakeholder interviews, market scans, competitive landscaping, and synthesis of input from physicians, staff, consultants, technology partners, and external experts.
• Translate complex technical or strategic concepts into clear, executive-ready language.
• Maintain organized research files, issue trackers, decision logs, and briefing materials to support ongoing strategy development.

Junior Analyst, AI Strategy and Innovation

• Execute and maintain Chamber’s enterprise AI roadmap
• Develop the analytical framework for AI’s impact
• Collaborate to bring AI tools to life
• Define how Chamber deploys AI responsibly
• Support Chamber’s broader strategic agenda
• Help shape how Chamber communicates its strategy

Director of AI Enablement

• Lead the strategic direction and execution of impactful initiatives
• Cultivate and maintain impactful relationships with key stakeholders
• Drive business development initiatives to enhance client satisfaction
• Collaborate with industry leaders to shape alliance strategies
• Identify and leverage growth opportunities across various sectors
• Oversee the execution of impactful initiatives within the Alliance portfolio

Data and AI Director

• Own and lead the Agriculture program strategy
• Drive state and national government partnerships
• Manage delivery partner relationships
• Design and oversee scaling pilots
• Translate across stakeholders
• Build and lead the agriculture team
• Drive learning and quality
• Operate in ambiguity

Agriculture Program Lead

• Serve as primary administrator for: Data catalog (Atlan): users, roles, workspaces, integrations, policies
• Data quality / observability tool (Monte Carlo): monitors, alerts, integrations
• Manage configuration, upgrades, and maintenance in partnership with vendors.
• Monitor system health, performance, and usage.
• Integrate governance tools with key data platforms (e.g., data warehouse/lake, BI tools, orchestration platforms, source systems).
• Develop and maintain pipelines to: Synchronize metadata into the data catalog.
• Configure and optimize Monte Carlo for: Freshness, volume, and schema checks
• Provide hands-on support to users of Atlan, Monte Carlo, and other governance tools.
• Evaluate and support adoption and integration of any future AI governance tools (e.g., for model registry, lineage, risk controls, and policy enforcement).

AI and Data Governance Engineer

• Develop production-grade integration and automation solutions: Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints.
• Lead the development and deployment of domain-specific LLMs: Fine-tune lightweight models on internal data from Gong, Notion, BigQuery, and other sources, then make them accessible to teams across the organisation through intuitive interfaces.
• Establish best practices and patterns for AI and automation across the company: Create templates, documentation, and training materials that enable non-technical teams to build and deploy their own automation workflows confidently.
• Enable widespread adoption: Run hands-on workshops, provide ongoing support, and mentor teammates so anyone at UpGuard can leverage AI and automation tools effectively.
• Embed security & governance: Bake privacy, compliance, and cost controls into every workflow and model deployment, ensuring enterprise-grade reliability and data protection.

AI and Automation Engineer

• Build and execute a 6-month, 2-year, and long-term strategic plan aligned to achieving federal AI legislation by 2030
• Translate strategy into clear priorities, milestones, and measurable outcomes across all workstreams
• Recruit, build, and manage high-performing teams and/or vendors across Operations, Program, Policy, and Communications
• Set team-level goals, performance metrics, and accountability systems to ensure results
• Strengthen and refine the organization’s theory of change as a left-of-center grassroots movement
• Lead day-to-day organizational execution across our affiliated c3/c4 entities, ensuring coordination across teams and timely delivery of priorities
• Represent the organization publicly across media, partners, and stakeholders
• Lead and participate in public events, convenings, and campaign moments to build visibility and influence
• Build and maintain strategic partnerships with aligned organizations, funders, and coalitions
• Engage and report to the Board of Directors, including preparing materials and participating in board meetings
• Oversee organizational budget, resource allocation, and financial sustainability
• Ensure the organization operates with speed, discipline, and focus in a time-bound political environment

Executive Director

• Focus daily effort selling to Small Law customers that are new subscribers within one to ten attorney size firms within an assigned territory
• Achieve and exceed monthly and annual quotas through negotiations and product offering within set parameters
• Achieve outbound prospecting and opportunity creation goals using tools such as outbound calls, emails, and LinkedIn Sales Navigator
• Gather and log all call information, sale orders, and profile activity within Salesforce, Thomson Reuters CRM system, correctly and accurately, ensuring proper marketing sources are credited appropriately
• Develop and deliver accurate sales forecasts
• Build, maintain and enhance client's experience through consultative conversation
• Work with organizations (Order Fulfillment, Credit, Customer Service, etc.) throughout Thomson Reuters to ensure customer accounts are handled efficiently and accurately
• Actively contribute to and works responsibly in a team environment, including collaborating with Field Sales Reps and Full Inside Sales Executives
• Obtain customer and competitive information during daily contacts and distribute as appropriate to develop sales strategies
• Maintain a working knowledge of company products, special sales programs and marketing efforts within the sales division
• Actively participate in meetings, training sessions and individual professional development and skill building

Acquisition Sales Specialist – AI Solutions

• Be the domain credibility of the pod. You know grocery retail and CPG — merchandising, supply chain, store ops, trade, e-commerce — well enough to walk into any room at any level and earn it immediately. As the pod scales, you'll deepen into a vertical and become Instacart's sharpest expert in that space.
• Get to the real problem. Embed with partner teams to identify where agentic AI will actually move the business — not just what's technically possible, but what will change how operators work day to day. Translate those problems into AI-solvable use cases the pod can build against.
• Lead discovery and requirements. Run structured workshops at partner sites, surface and prioritize the use case map, and turn field learnings into clear inputs for the pod and R&D. You're the bridge between what partners need and what gets built.
• Show, don't just tell. Lead hands-on demos and platform walkthroughs tailored to the partner's specific workflows — making abstract AI capability concrete and compelling in the room. The ability to demonstrate the art of the possible is as important as the ability to articulate it.
• Own adoption. Drive the change management that makes deployments stick — new operating cadences, workflow redesigns, user training. Success is measured by whether team behavior changes, not whether software ships.
• This is a field-first role. Travel is a core part of the job — expect to be on-site at partner locations regularly, potentially 50%+ of the time. If you do your best work embedded with a team rather than behind a desk, you'll thrive here.

AI Field Consultant

• Builds and iterates on AI agents and automated workflows to support research, summarization, and content production.
• Leverages structured and unstructured data to improve speed, consistency, and quality of outputs.
• Develops and refines NLP-driven workflows to extract key phrases, identify key figures, and surface themes in large datasets.
• Supports the development of internal tools and templates to streamline team workflows.
• Designs, builds, and tests automations for repetitive tasks across slide creation and data collection, connecting sources and streamlining workflows.
• Evaluates AI outputs for accuracy, creates deliverable content, and supports broader research as needed.

AI & Automation Research Intern

• Builds custom AI applications and workflows to support research, summarize reporting, and surface key insights.
• Bridges editorial and analytical workflows, refining AI-assisted outputs into newsletter-ready insights.
• Applies AI-driven approaches to synthesize datasets and reporting, contextualizing findings within broader policy and political trends.
• Leverages AI and automation to create high-quality presentations and executive-ready visual summaries from diverse news and information sources.
• Develops and deploys daily newsletters that spotlight the team’s content using AI tools.
• Evaluates AI outputs for accuracy, handles administrative duties, and supports broader team research as needed.

Policy Data & AI Intern

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap aligned with growth, productivity, quality, safety, and risk objectives.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design, implement, and continuously evolve the enterprise AI operating model, including governance forums, funding and intake processes, prioritization methods, and decision rights.
• Chair and run the Executive AI Steering Committee, ensuring disciplined decision making, clear accountability, and execution follow through; set agendas, align key stakeholders, and communicate decisions and actions clearly.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance.
• Own AI investment governance, ensuring alignment with capital planning, transformation funding, and enterprise portfolio priorities.
• Own the global AI use case portfolio and prioritization framework, balancing short term value delivery with long term strategic capability building.
• Ensure AI initiatives progress efficiently from ideation to pilot to scaled production—eliminating “pilot only” stagnation.
• Define, track, and report enterprise AI value metrics, including operational efficiency, cost reduction, quality improvement, risk mitigation, revenue enablement, and customer impact.
• Regularly recalibrate the AI roadmap based on realized outcomes, business performance, and evolving priorities.
• Orchestrate cross-functional delivery across IT, data, digital platforms, business units, and external partners—creating shared plans, clear ownership, and fast decisions.
• Resolve enterprise level dependencies and escalations impacting delivery, adoption, or value realization by facilitating trade-off discussions, aligning decision makers, and driving timely, documented outcomes.
• Ensure AI initiatives are integrated with core enterprise platforms (ERP, data environment, digital products) rather than delivered as isolated solutions.
• Build scalable execution playbooks, delivery standards, and reusable components to accelerate adoption across regions and functions.
• Partner with HR and Communications to lead enterprise-wide change management, AI literacy, and workforce enablement.
• Sponsor AI capability building, including training programs, citizen developer models, communities of practice, and leadership education.
• Drive cultural adoption by positioning AI as a core business capability embedded in how work gets done—not as a technology experiment.
• Support workforce transformation planning, including role evolution, ethical considerations, and future skills development.
• Build, lead, and develop a high performing enterprise AI organization with clear roles, succession, and career paths.
• Set performance expectations, accountability, and development plans for direct and indirect reports.
• Foster a strong culture of accountability, collaboration, and execution discipline across the AI ecosystem.

VP Enterprise AI Enablement

• Develop, design, and maintain enterprise data literacy, analytics, and AI training materials and curricula aligned to defined learning objectives and enterprise standards.
• Deliver engaging, learner-centered in-person and virtual training sessions using facilitation techniques that promote interaction, understanding, and real-world application.
• Translate complex data, analytics, and AI concepts into clear, accessible language for learners with varying levels of data literacy.
• Facilitate Insights Bar sessions, office hours, workshops, and learning events to support ongoing analytics and data enablement.
• Create training assets across multiple modalities, including instructor-led content, virtual learning, recorded video, self-paced e-learning, job aids, and interactive learning materials.
• Develop and deliver engaging training materials using modern instructional design tools and platforms, including Articulate Rise, Adobe Captivate, Storyline, JavaScript, video editing tools, and Learning Management Systems (LMS).
• Assist in developing and maintaining role-based training curricula aligned to defined personas (providers, analysts, developers, nurses, super users).
• Support standardized onboarding and enablement pathways across analytics, AI, and enterprise toolsets.
• Maintain training documentation, workflows, job aids, and multimedia learning assets in accordance with enterprise standards.
• Collaborate with subject matter experts and enterprise stakeholders to identify learning needs, clarify requirements, and translate them into effective training solutions.
• Provide remedial and optimization training to address adoption gaps or workflow challenges.
• Track participation, feedback, and effectiveness of training programs and communicate insights and recommendations to leadership.
• Coordinate training logistics, schedules, communications, and materials with stakeholders across clinical, operational, IT, and analytics teams.
• Perform other duties as assigned.

See all jobs on JobTailor