Artificial Intelligence

• Support & champion customers in their journey with Omnea
• Assist S&I (Solutions & Implementation) Leads with product configuration, data preparation, and implementation
• Grow into customer-facing aspects of the role over time
• Opportunity for pathway into full stack Customer Solutions & Implementation roles
• Learn from a team of experts in a fast-growing enterprise SaaS environment

AI Solutions Associate

• 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

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable solution architectures, using Omnea's AI to eliminate manual work across procurement.
• Prototype and Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realisation of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organisation.

Applied AI Consultant

• Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
• Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
• Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
• Design the data + model lifecycle (pipelines, training/finetuning, serving, monitoring, drift detection, retraining) and the required MLOps/LLMOps foundations
• Establish integration patterns with enterprise systems (APIs/events/workflows, IAM, observability) so solutions are operable and supportable in production
• Partner with security, privacy, and risk teams to embed controls (access, auditability, data handling, responsible AI) into solution designs
• Produce core delivery artifacts (architecture diagrams, reference patterns, implementation roadmap, runbooks) and drive architecture reviews
• Mentor teams and build reusable assets/accelerators (reference architectures, templates, evaluation scorecards) to scale repeatable delivery quality

AI-ML Director

• 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

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Serve as the hands-on, proactive, strategic leader responsible for advancing AI in Clinical Development
• Partner with various organizations to identify, develop, and scale AI-driven capabilities
• Drive adoption of AI solutions across study design, protocol optimization, and clinical data review
• Lead development of AI-enabled approaches to improve clinical trial performance
• Partner with digital and technology teams to design and deploy AI-powered tools and platforms
• Represent the organization in industry forums and health authority interactions

Head of AI Clinical Excellence

• Own the portfolio-wide standard for what counts as proof—defined before work begins, not after results land.
• Draft and socialize pre-registered success criteria for each initiative (primary KPIs, guardrails, minimum detectable effect, read windows).
• Maintain a shared measurement playbook (matched controls, power calculations, blinded review, backtesting where appropriate).
• Prioritize what the portfolio must prove next—and in what sequence evidence compounds.
• Maintain a ranked learning agenda across initiatives and recommend the next proof point per initiative.
• Review experiment designs: control arms, audience matching, read windows, confounders, data leakage risks.
• Run power analysis and flag underpowered or ungradeable designs before launch.
• Produce evidence read memos on a fixed cadence: what was tested, what was observed, what it means, what is recommended.
• Synthesize across initiatives into one portfolio story—not a patchwork of disconnected scorecards.
• Guard against failure modes that quietly invalidate results: moving goalposts; letting the people a system is meant to outperform grade it; acting before pre-registered proof exists.
• Escalate when a read is not gradeable.
• Run evidence read sessions at pre-registered dates; own continue / adjust / stop recommendations with rationale; track whether recommendations are acted on.

Director, AI Experimentation – Measurement

• Produce ad-hoc analysis from Snowflake (our Data Warehouse) or other in-house telemetry systems as required for Marketing, Product, Finance and GTM with focus on
• Data modeling & validation as required for Tableau dashboards, along with deployment of dashboards as needed
• Translating Tableau workflows into Streamlit apps as required for experimentation
• Analysis of teacher segmentation & usage patterns within our products
• Monitor key performance indicators (KPIs) related to user engagement, product usage, and revenue metrics. Identify areas for improvement and optimization and provide recommendations to enhance performance & identify trends, patterns and opportunities
• Ensure data accuracy, consistency, and completeness across all systems
• Design data models and analytic frameworks for repeatable workflows- product usage analytics, account churn, book of business renewals, customer feedback - and turn them into a reusable, invokable tool using Snowflake and dbt, modeled in the semantic layer for quick business insights through CortexAI
• Transform raw Snowflake data into reusable data models that can be pipelined into dbt & the semantic layer
• Help in modeling, documentation & QA for CortexAI models to support semantic view for natural language query capability
• Write and iterate on prompt & skill structures (YAML + Markdown skill files) based on output quality and stakeholder feedback
• Evaluate model outputs rigorously and enable business to produce analyst-quality output using semantic layer capability

Data AI Co-op, Internship

• 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

• Navigating complex regulatory landscapes to provide risk management solutions for clients
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Utilizing critical thinking to break down complex concepts and develop actionable insights
• Applying risk governance methodologies to enhance internal controls and mitigate risks
• Interpreting data to inform strategic recommendations and support decision-making processes
• Upholding professional and technical standards in alignment with firm guidelines and independence requirements
• Collaborating with teams to generate innovative ideas and solve regulatory compliance challenges
• Mentoring junior team members to foster their development and enhance team performance

Senior Associate, AI Governance

• Architect and own the unified semantic and data layer that underpins Revenue Operations — the single source of truth connecting Sales, Marketing, Customer Success, and Finance data.
• Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully improve GTM efficiency, forecasting, and decision-making.
• Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally.
• Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization — from individual contributors to executives.
• Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps.
• Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases.
• Establish data governance, quality standards, and documentation practices that scale as the organization grows.
• Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting.
• Champion a "build fast, iterate faster" culture — rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle.
• Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations.

Director, Revenue Analytics – AI Innovation

• Contribute to the strategic oversight and optimization of competitive intelligence and AI-enabled research capabilities.
• Support the Enterprise Strategy team's research tool ecosystem by partnering with the Lead Director.
• Act as the SME and product owner of the team’s knowledge management system (Crayon).
• Organize requirements and work with vendors on new features, oversee utilization reporting, and identify ways to leverage platforms for research needs.
• Partner closely with Strategy leaders and external vendors to align tool capabilities with evolving business needs.

Senior Manager – Market Intelligence, AI Technology Platforms

• Translate enterprise technology and business strategies into an actionable portfolio
• Establish execution patterns for AI and automation programs
• Build and run an enterprise operating model that balances execution discipline with agility
• Build executive-grade dashboards and performance views
• Ensure clear adoption ownership and business outcomes for major initiatives
• Lead, coach, and grow SPO leaders, PMs, and execution leads

Staff Vice President – Enterprise Technology Transformation, AI Execution

• Support the preparation, formatting, and assembly of proposals, RFP responses, presentations, and supporting sales materials.
• Coordinate and manage the end-to-end RFP process, including intake, qualification, calendaring, compliance tracking, kickoff coordination, response collection, review cycles, and final submission support.
• Help organize response plans, responsibilities, review cycles, and deadlines to keep proposal and RFP pursuits on track.
• Maintain RFP schedules, requirements matrices, content trackers, and submission checklists to improve consistency, responsiveness, and quality control.
• Coordinate content collection from internal stakeholders and help organize proposal inputs, deadlines, and version control.
• Edit and proofread content to ensure clarity, consistency, accuracy, and adherence to brand standards.
• Maintain proposal content libraries, templates, resumes, case studies, and standard response materials.
• Assist with scheduling meetings, tracking deliverables, and monitoring proposal milestones.
• Collaborate with sales, marketing, and solution teams to help produce polished, client-ready deliverables.
• Support administrative and logistical tasks related to pursuits, client presentations, and business development initiatives.
• Use applicable technology tools to manage documents, shared files, and production workflows efficiently.

Practice Operations – Artificial Intelligence

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Lead workflow transformation programs across Zeno's offices
• Facilitate working sessions with teams and stakeholders to map workflows
• Design and deliver training programs, workshops and best practices
• Evaluate AI tools, platforms and vendor solutions
• Monitor adoption, identify barriers and refine programs that drive lasting behavioral change
• Support client teams in AI-related conversations
• Help ensure AI tools and workflows align with company policies

Senior Vice President, AI & Technology Programs

• develop AI agents that perform real actions for companies
• design Agent Intelligence with AI/LLM technologies
• support the entire Technical Lifecycle, collaborating with Builders
• drive strategic impact by partnering with clients
• iterate and deploy solutions, taking ownership from day one

Artificial Intelligence jobs in New York

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