Artificial Intelligence

• Leading the development and implementation of governance frameworks to manage risk and compliance for clients
• Analyzing complex regulatory landscapes to provide strategic advice and solutions
• Managing client engagements, confirming successful planning, budgeting, and execution of projects
• Coaching and mentoring team members to enhance their skills and performance
• Collaborating with leadership to maintain quality and meet client expectations
• Utilizing risk governance knowledge to enhance internal controls and mitigate risks
• Encouraging innovation and technology adoption to improve service delivery
• Addressing conflicts and facilitating difficult conversations with stakeholders
• Upholding professional and technical standards, including adherence to the firm's code of conduct
• Identifying opportunities for improvement and contributing to the firm's success

AI Governance Manager

• Lead, coach, and develop a team of Dealership Success Managers across East Coast regional territories
• Drive retention, adoption, expansion, and overall customer success across the dealership portfolio
• Set clear performance expectations and hold the team accountable to results
• Partner closely with internal teams to ensure a consistent and high-quality customer experience
• Build trusted relationships with dealership leaders and executive stakeholders
• Use technical understanding to help customers and teams adopt Podium’s AI solutions effectively
• Translate customer goals into action plans that create measurable value and business impact
• Support team members in navigating complex customer situations, escalations, and renewal opportunities
• Drive operational rigor across the team through planning, coaching, and execution
• Travel regularly to support customers, field activity, and team development

Director of Dealership Success – AI

• Developing and implementing AI-powered contact center solutions using tools such as Dialogflow and Amazon Lex
• Designing and prototyping user interfaces with a focus on usability and accessibility, utilizing Figma and HTML5
• Conducting user research and analysis to inform the design and customization of interactive systems
• Collaborating with cross-functional teams to integrate Agentic AI protocols and enhance customer experience strategies
• Creating and refining mock-ups and prototypes to align with client requirements and feedback
• Analyzing industry trends to identify opportunities for innovation in user interaction engineering
• Leading the development of natural language interfaces and voice design for enhanced user engagement
• Utilizing AngularJS frameworks to build responsive and dynamic web applications
• Managing workflow development and analysis to optimize processes and improve efficiency
• Applying human-centered design principles to create intuitive and user-friendly digital products

Senior Associate, Conversational AI, Agentic AI

• Leading the development and implementation of AI-powered contact center solutions to enhance customer interactions
• Managing and guiding teams in the strategic planning and execution of user interaction engineering projects
• Utilizing AngularJS frameworks to create dynamic and responsive user interfaces
• Conducting usability testing and user research to inform design decisions and improve user experience
• Collaborating with stakeholders to gather functional requirements and translate them into technical specifications
• Developing and customizing product designs to meet specific client needs and industry standards
• Applying human-centered design principles to validate accessibility and usability across digital platforms
• Analyzing industry trends to identify opportunities for innovation and improvement in AI and user interaction technologies
• Coaching and mentoring junior staff to foster professional growth and enhance team performance
• Building and maintaining strong relationships with clients to deliver exceptional service and support

Manager, Conversational AI and Agentic AI

• Navigating complex regulatory landscapes to provide advice and solutions for clients
• Confirming regulatory compliance and managing risks effectively for client organizations
• Enhancing internal controls to mitigate risks and improve governance structures
• Applying a learning mindset to develop skills in corporate governance and risk management
• Gathering information from diverse sources to analyze facts and discern patterns
• Building commercial awareness and understanding how the business operates
• Upholding professional and technical standards, including PwC's code of conduct and independence requirements
• Adapting to fast-paced environments and collaborating with diverse teams and clients
• Taking ownership of tasks and consistently delivering quality work that drives value for clients

AI Governance Associate

• Build and lead market growth strategy for P&C insurers, reinsurers and insurtechs, to include establishing and owning senior prospect relationships.
• Engage C-suite and VP stakeholders (Claims, Data, Underwriting, Risk) as a trusted advisor, not a vendor.
• Operate as a strategic advisor on AI adoption, from use case identification to production deployment and model governance.
• Lead executive discussions on how AI, particularly human-in-the-loop approaches, can improve efficiency, accuracy, and regulatory defensibility.
• Align complex stakeholder groups across claims, actuarial, IT, data science, and compliance functions.
• Identify and drive expansion opportunities within existing accounts.
• Own new logo acquisition, account expansion and P/L management across enterprise P&C clients in the US and Europe.
• Develop strategic account plans that scale from initial use cases to enterprise-wide AI programs.
• Own the full commercial lifecycle: discovery, solution framing, proposal development, and executive presentations.
• Navigate procurement processes, RFPs, vendor risk frameworks, and regulatory constraints effectively.
• Partner with internal teams to craft tailored, high-impact solutions for insurance clients.
• Identify high-impact AI use cases across the insurance value chain, including:
• - Claims document processing and intelligent document understanding
• - Aerial and satellite imagery analysis for property assessment
• - NLP for policy, coverage, and regulatory interpretation
• - Underwriting data enrichment and risk model validation
• - FNOL automation and subrogation workflows
• Lead discovery sessions and workshops to uncover transformation opportunities.
• Translate operational and regulatory challenges into scalable AI solutions.
• Collaborate closely with data science and engineering teams to ensure successful execution.
• Maintain accountability for delivery quality, timelines, and client satisfaction.
• Stay at the forefront of AI trends in insurance, including fraud detection, intelligent document processing, and risk modeling.
• Represent CloudFactory in industry forums, client workshops, and executive discussions.
• Demonstrate strong awareness of regulatory frameworks (e.g., NAIC guidelines, EU AI Act, model risk management standards).
• Feed market insights back into product development and go-to-market strategy.
• Lead and influence cross-functional teams across consulting, data science, and delivery.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Contribute to knowledge sharing and best practices across engagements.

Client Principal, AI Consulting – Property & Casualty Insurance

• Develop and maintain governance frameworks, policies, and procedures for AI initiatives and related technology programs.
• Provide oversight of risk, compliance, documentation, and controls.
• Partner with stakeholders and leaders to align governance requirements with project planning, delivery, and execution.
• Lead and coordinate teams while collaborating closely with peer functions across technology and business operations.
• Support project governance using Traditional and Agile SDLC methodologies and collaboration tools such as VSTS, Jira, and similar platforms.
• Recommend improvements to policies, processes, and governance structures.
• Communicate governance expectations, project status, and recommendations effectively across all levels of the organization.

Governance Lead – Artificial Intelligence

• 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.
• 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 and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Lead the development and execution of the Tech+Talent 2026 marketing strategy to achieve key business objectives.
• Utilize market research to identify trends, customer needs, and insights that shape and inform our marketing tactics.
• Design and implement innovative marketing campaigns tailored to targeted customer segments, ensuring alignment with strategic goals.
• Develop clear and compelling solution positioning and messaging that differentiates Axiom's offerings with a specific focus on Axiom’s AI capabilities.
• Collaborate with strategy, technology, and commercial teams to convert capabilities into customer-centric benefits and articulate these in marketing collateral.
• Create engaging sales enablement materials, including solution briefs, presentations, and case studies to support sales efforts.
• Drive the execution of our marketing plan for new solution launches, ensuring seamless integration across multiple digital channels.
• Coordinate with marketing communications to deploy campaigns that drive brand awareness and increase demand generation.
• Analyze marketing campaign performance and leverage data-driven insights to refine and optimize strategies continuously.
• Work closely with sales teams to capture customer insights and refine solution selling approaches.
• Engage with strategy teams to deliver market feedback that guides prioritization of initiatives.
• Collaborate with commercial teams to harness customer experiences in marketing narratives and success stories.
• Maintain detailed project plans, timelines, and documentation for marketing initiatives.
• Identify and mitigate potential risks to ensure successful program delivery.

Senior Manager, AI Solution Marketing

• 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

Artificial Intelligence jobs in District of Columbia

See all jobs on JobTailor