Artificial Intelligence

• Deliver data products and associated AI applications that are aimed at accelerating the Immunology R&D Pipeline.
• Lead a team to develop technical requirements for Immunology-facing data products that enable AI applications.
• Attract, upskill and retain top talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and Johnson & Johnson Technology (JJT).
• Define and maintain a roadmap for Immunology data products, spanning discovery, translational research, clinical development, and real-world evidence.
• Partner with Knowledge Management, Data Platforms & Governance, and Master Data Management teams to ensure Immunology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
• Lead a team that works with key business partners to develop and deploy impactful and scalable AI solutions for Immunology
• Contribute to the development and governance of an Immunology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
• Establish and work with governance models, agile delivery processes, and value-tracking metrics for Immunology data products and AI tools.
• Champion data literacy and adoption within the Immunology therapeutic area (TA).

Senior Director, Immunology Data & AI Systems

• 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 AI Adoption & Marketing Innovation
• Serve as the primary AI and marketing technology systems enablement partner for an assigned therapeutic area.
• Drive adoption and effective use of AI-powered tools, platforms, and workflows across brand teams.
• Lead training sessions, workshops, office hours, and demonstrations that build confidence and proficiency with new technologies.
• Partner with marketers to integrate AI-generated insights, recommendations, and capabilities into planning, decision-making, and execution.
• Champion innovative ways of working that improve efficiency, scalability, and marketing effectiveness.
• Support pilot programs, platform launches, and enterprise adoption initiatives that accelerate innovation.
• Analyze Business Needs & Improve Processes
• Analyze marketing workflows, business processes, and user needs to identify opportunities for automation, optimization, and AI-enabled improvements.
• Conduct systems analysis of AI-powered marketing technology platforms and workflows by evaluating user needs, documenting business and functional requirements, and identifying system, workflow, and process enhancements.
• Translate business requirements into actionable recommendations for technology, analytics, platform, and external partner teams.
• Evaluate existing workflows and recommend improvements that enhance user experience, operational efficiency, and business performance.
• Support user acceptance testing (UAT), solution validation, implementation activities, and ongoing platform enhancements.
• Identify opportunities to simplify processes, increase adoption, and improve the overall effectiveness of digital capabilities.
• Turn Insights Into Action
• Help marketers translate AI-generated insights, audience intelligence, analytics, and recommendations into actionable business decisions.
• Monitor adoption trends, platform utilization, workflow performance, and business outcomes to identify opportunities for continuous improvement.
• Use data and insights to drive recommendations that improve marketing effectiveness and user engagement.
• Capture user feedback and contribute to best practices, governance, and scalable operating models across therapeutic areas.
• Stay current on emerging AI technologies, digital marketing capabilities, commercialization trends, and innovation opportunities.

Manager, AI Marketing Enablement

• Design and deliver scalable AI/ML solutions addressing high-value use cases such as forecasting, optimization, predictive maintenance, and operational automation
• Identify and prioritize AI opportunities aligned with strategic business objectives and operational KPIs.
• Translate business needs into robust data models, algorithms, and technical architectures.
• Lead model lifecycle management: data exploration, site specific specialization, training, validation, and deployment.
• Embed AI solutions into business workflows (dashboards, applications, automation pipelines) to ensure adoption and sustained impact.
• Partner cross-functionally with Digital, Engineering, IT, and Operations teams to ensure seamless integration and execution.
• Establish best practices in data quality, governance, and compliance.
• Continuously monitor model performance and drive iterative improvements.
• Stay at the forefront of AI innovation, bringing emerging technologies into practical, scalable use.

Ice Cream AI Specialist / AI Expert

• Reimagine Credit Strategy Through Automation
• Deconstruct and redesign credit underwriting processes
• Identify opportunities where AI and machine learning can enhance credit decisions
• Partner with IT and business teams to translate credit requirements into technical specifications
• Build compelling business cases for technology investments
• Design sophisticated workflow automation
• Leverage FNBO's AI toolkit to prototype, test, and scale solutions rapidly
• Present recommendations to C-level executives with clarity and confidence
• Drive change management efforts
• Stay ahead of emerging AI capabilities and credit technology trends

Credit Risk AI Enablement

• Define and lead the enterprise AI strategy aligned to business objectives and priorities.
• Identify and prioritize AI value creation opportunities for underwriting, pricing, claims, and operations, partnering with business unit leaders to identify use cases with the highest ROI and competitive advantage potential.
• Build an industry leading AI organization by attracting, developing, and retaining exceptional talent.
• Collaborate closely with the technology and data teams (through dotted-line relationships) to scope requirements, define data and infrastructure needs, and ensure timely delivery of AI capabilities that support business objectives.
• Drive adoption and outcomes of AI solutions by working with underwriting, claims, and actuarial teams to embed AI insights into decision-making processes, measure business impact, and drive continuous improvement.
• Support organizational alignment and change management to drive AI adoption and business integration.
• Own AI strategy alignment with enterprise risk and compliance frameworks, working with Legal, Risk, and Compliance to ensure all AI initiatives meet regulatory requirements and maintain model transparency.
• Evaluate emerging AI technologies, vendor solutions and market trends relative to the (re)insurance industry.

Group Head – AI

• Lead AI Adoption & Marketing Innovation
• Serve as the primary AI enablement partner for an assigned therapeutic area.
• Drive adoption and effective use of AI-powered tools, platforms, and workflows across brand teams.
• Lead training sessions, workshops, office hours, and demonstrations that build confidence and proficiency with new technologies.
• Partner with marketers to integrate AI-generated insights, recommendations, and capabilities into planning, decision-making, and execution.
• Champion innovative ways of working that improve efficiency, scalability, and marketing effectiveness.
• Support pilot programs, platform launches, and enterprise adoption initiatives that accelerate innovation.
• Analyze Business Needs & Improve Processes
• Analyze marketing workflows, business processes, and user needs to identify opportunities for automation, optimization, and AI-enabled improvements.
• Gather, document, and prioritize business and functional requirements for AI-powered solutions, digital platforms, and process enhancements.
• Translate business requirements into actionable recommendations for technology, analytics, platform, and external partner teams.
• Evaluate existing workflows and recommend improvements that enhance user experience, operational efficiency, and business performance.
• Support user acceptance testing (UAT), solution validation, implementation activities, and ongoing platform enhancements.
• Identify opportunities to simplify processes, increase adoption, and improve the overall effectiveness of digital capabilities.
• Turn Insights Into Action
• Help marketers translate AI-generated insights, audience intelligence, analytics, and recommendations into actionable business decisions.
• Monitor adoption trends, platform utilization, workflow performance, and business outcomes to identify opportunities for continuous improvement.
• Use data and insights to drive recommendations that improve marketing effectiveness and user engagement.
• Capture user feedback and contribute to best practices, governance, and scalable operating models across therapeutic areas.
• Stay current on emerging AI technologies, digital marketing capabilities, commercialization trends, and innovation opportunities.

• Serve as the primary AI enablement partner for an assigned therapeutic area.
• Drive adoption and effective use of AI-powered tools, platforms, and workflows across brand teams.
• Lead training sessions, workshops, office hours, and demonstrations that build confidence and proficiency with new technologies.
• Partner with marketers to integrate AI-generated insights, recommendations, and capabilities into planning, decision-making, and execution.
• Champion innovative ways of working that improve efficiency, scalability, and marketing effectiveness.
• Support pilot programs, platform launches, and enterprise adoption initiatives that accelerate innovation.
• Analyze marketing workflows, business processes, and user needs to identify opportunities for automation, optimization, and AI-enabled improvements.
• Gather, document, and prioritize business and functional requirements for AI-powered solutions, digital platforms, and process enhancements.
• Translate business requirements into actionable recommendations for technology, analytics, platform, and external partner teams.
• Evaluate existing workflows and recommend improvements that enhance user experience, operational efficiency, and business performance.
• Identify opportunities to simplify processes, increase adoption, and improve the overall effectiveness of digital capabilities.
• Help marketers translate AI-generated insights, audience intelligence, analytics, and recommendations into actionable business decisions.
• Monitor adoption trends, platform utilization, workflow performance, and business outcomes to identify opportunities for continuous improvement.
• Use data and insights to drive recommendations that improve marketing effectiveness and user engagement.
• Capture user feedback and contribute to best practices, governance, and scalable operating models across therapeutic areas.
• Stay current on emerging AI technologies, digital marketing capabilities, commercialization trends, and innovation opportunities.

• Translate business priorities into practical AI solutions that improve how work gets done.
• Identify high-value opportunities to apply generative AI across workflows, deliverables, and business processes.
• Build and iterate on working prototypes, pilots, and lightweight AI-enabled tools using modern development environments, LLM APIs, agentic workflows, and related technologies.
• Partner closely with AI technical teams, engineering, product, and business stakeholders to transition validated prototypes into scalable, production-ready solutions where appropriate.
• Support successful adoption of AI solutions by creating practical guidance, training, onboarding materials, and usage playbooks.
• Help ensure AI solutions are designed and applied in ways that are responsible, compliant, and appropriate for a regulated healthcare communications environment.
• Apply strong understanding of healthcare communications to shape relevant and impactful AI solutions.

AI Business Partner

• Lead Private Equity AI Transformation Programs
• Serve as the executive sponsor and trusted advisor for assigned PE firms and their portfolio companies.
• Build relationships with PE operating partners, portfolio company executives, and Salesforce account teams to identify opportunities where AI can drive measurable business value.
• Help PE firms define AI transformation strategies, prioritize investments, and establish roadmaps that align AI initiatives to value creation plans, operational efficiency goals, revenue growth objectives, and portfolio-wide transformation strategies.
• Guide executive stakeholders through AI adoption journeys and position Salesforce as a strategic transformation partner.
• Partner with Relationship Managers.
• Work in close partnership with the Relationship Manager (RM) assigned to each PE firm.
• Understand the distinct and complementary roles: RMs own overall client relationships, timelines, and impact tracking; Senior Directors in this role lead the technical AI transformation execution, pod delivery, and portco-level outcomes.
• Collaborate with RMs on account strategy, escalation paths, and executive alignment — ensuring seamless coordination across the team.
• Lead and Develop High-Performing AI Pods.
• Lead multiple squads of builders, deployment strategists, and technical specialists responsible for delivering AI-powered solutions and business outcomes.
• Recruit, coach, and develop top talent while fostering a culture of innovation, accountability, customer obsession, and execution excellence.
• Ensure teams maintain high standards for solution quality, customer engagement, technical rigor, governance, and measurable business impact.
• Create clear operating rhythms, delivery mechanisms, and performance frameworks that enable teams to scale effectively across multiple portfolio engagements.
• Drive Strategic Use Cases into Measurable Outcomes.
• Partner with PE firms and portfolio companies to identify and prioritize high-impact AI use cases including Agentforce, Data Cloud, and AI Pod implementations.
• Translate business objectives into actionable execution plans for pods, ensuring initiatives are aligned to strategic priorities and measurable value creation outcomes.
• Oversee solution delivery from opportunity discovery through deployment, adoption, and value realization.
• Remove obstacles, coordinate resources, and ensure successful execution across technical, business, and executive stakeholders.
• Establish clear success metrics and accountability mechanisms that demonstrate business impact and Salesforce value.
• Drive consumption growth explicitly — this team's work should be reflected in measurable increases on the PE Portco consumption dashboard.
• Build Scalable Transformation Playbooks.
• Capture learnings, best practices, implementation patterns, and success stories across engagements.
• Develop repeatable frameworks, industry-specific use cases, deployment methodologies, governance models, and AI transformation playbooks that can be reused across PE firms and portfolio companies.
• Create scalable operating models that increase delivery efficiency, accelerate customer outcomes, and enable broader adoption of Salesforce AI capabilities including Data Cloud and AI Pods.
• Surface market insights, customer feedback, and emerging opportunities to Salesforce product, engineering, and GTM leadership teams.
• Accelerate Salesforce Growth and Market Leadership.
• Partner closely with Sales, Customer Success, Product, and Executive Leadership teams to identify expansion opportunities and support strategic account growth.
• Help establish Salesforce as the preferred AI transformation partner within the private equity ecosystem.
• Drive customer references, success stories, executive advocacy, and thought leadership that enhance Salesforce's reputation and market position.
• Contribute to revenue and consumption growth through successful adoption, expansion, and strategic AI transformation initiatives.

Senior Director, AI, Private Equity Transformation

• Manage a portfolio of member relationships providing Advisory support to the C-Suite with a focus on Artificial Intelligence
• Leverage subject matter expertise to create service solutions for clients utilizing all ExP and/or EITL products
• Define and deliver innovative solutions by assessing member Mission Critical Priorities (MCPs)
• Conduct a mix of on-site and virtual briefings, including strategy sessions and webinars
• Build a strong partnership with Gartner’s Sales organization and collaborate with them for member engagement
• Guide executives who lead strategic initiatives using AI and provide expert advice on implementation and optimization
• Provide training and mentorship on AI-related topics to broad audiences across organizations

Executive Partner, Artificial Intelligence Advisory – AI Strategist

• 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

• Evaluate technical feasibility of AI-enabled business solutions and identify architecture considerations impacting implementation viability.
• Evaluate architectural patterns supporting AI-enabled workflows
• Assess feasibility of AI approaches using enterprise data and integration patterns
• Identify technical dependencies impacting implementation sequencing
• Provide guidance on tradeoffs between approaches
• Identify reusable components that may support multiple enterprise use cases
• Document technical constraints that may impact delivery timelines
• Provide guidance, evaluations and solutions for applied AI engineering patterns relevant to enterprise use cases

AI Business Architect

• Own client relationships independently, serving as a trusted advisor to C-suite executives on AI strategy, governance, and implementation.
• Represent EisnerAmper on AI Advisory in executive rooms, confidently navigating conversations that span AI risk and policy through capability building and adoption.
• Build and maintain relationships with boards, executive teams, and key stakeholders across client organizations.
• Drive revenue growth through new client acquisition and expansion of existing relationships.
• Identify opportunities within EisnerAmper's existing client base and collaborate with partners across service lines to deliver AI Advisory services.
• Develop proposals, lead pitch presentations, and close engagements independently.
• Lead complex AI advisory engagements spanning governance frameworks, strategy development, implementation planning, and organizational change.
• Ensure successful delivery outcomes, managing scope, timelines, and client expectations.
• Collaborate with internal teams and external resources to assemble the right expertise for each engagement.
• Contribute to the strategic direction of the AI Advisory practice, including service development, market positioning, and thought leadership.

AI Advisory Director

• Shaping, executing, and embedding a competitively differentiated, multi-year capability roadmap strategically aligned to business priorities
• Enhancing current tactics and implementing and executing with impact
• Managing multiple vendors and providing indirect leadership for a cross-functional team of more than 50 individuals
• Collaborating with a variety of stakeholders, including sales and marketing leadership, key analytics stakeholders, and media, data, and omnichannel professionals across business and functional units
• Driving current and future AI capabilities to enhance omnichannel orchestration capabilities across J&J NA Pharm
• Driving execution, implementation, and delivery of the multi-year Engagement.AI Digital roadmap
• Leading ongoing business impact analysis and ensuring appropriate cost-benefit and ROI analysis of capabilities
• Developing and implementing change management strategies by collaborating with senior leadership and cross-functional teams
• Implementing program management and governance for capabilities and execution through coordination with commercial leadership
• Collaborating across business and functional units and in partnership with JJT to identify opportunities to embed capabilities
• Building a culture of continuous learning and improvement

Associate Director, AI Capabilities Execution

• Shape, execute, and embed a competitively differentiated, multi-year capability roadmap strategically aligned to business priorities.
• Enhance current tactics and implement and execute with impact.
• Manage multiple vendors and provide indirect leadership for a cross-functional team of more than 50 individuals across businesses and functions engaged with implementation, embedding, and adoption of current and new capabilities.
• Collaborate with a variety of stakeholders including sales and marketing leadership, key analytics stakeholders, and media, data, and omnichannel professionals across business and functional units.
• Drive current and future AI capabilities to enhance omnichannel orchestration capabilities across J&J NA Pharm in close collaboration with cross-functional teams across marketing, sales, media, data, and analytics.
• Drive execution, implementation, and delivery of the multi-year Engagement.AI Digital roadmap to scale integration of AI capabilities into both owned and paid digital media channels.
• Lead ongoing business impact analysis and ensure implementation of appropriate cost-benefit and ROI analysis of capabilities.
• Develop and implement change management strategies by collaborating with senior leadership and cross-functional teams to align initiatives with organizational goals and objectives.
• Implement program management and governance for capabilities and execution through coordination with commercial leadership and key steering committee members.
• Collaborate with JJT to identify opportunities to embed capabilities and accelerate growth.
• Build a culture of continuous learning and improvement, fostering an environment that encourages experimentation and innovation while minimizing risks.
• Identify capability opportunities and gaps that need to be strengthened or built to future-proof the organization.

• Partner with Product and Engineering leaders as a co-owner of quality, bringing the testing strategy, domain judgment, and evidence to jointly define what “good” looks like and what’s ready to ship
• Apply deep banking and Finxact domain knowledge to validate that the system behaves the way it should, not just that scripts pass — catching correctness and behavioral issues, not only broken builds
• Define and champion the testing and quality strategy across the Finxact Experience landscape, establishing the standards, coverage targets, and quality gates that everything ships through
• Define clear, defensible test plans across both automated and manual coverage, and be able to walk stakeholders through them
• Design, build, and maintain a modern test automation suite for the Finxact Console — end-to-end, API/contract, and regression — integrated into CI/CD so quality is enforced in the pipeline, not after the fact
• Shape and run the evaluation strategy for our AI/LLM ecosystem — automated and manual — building eval suites and prompt/output regression that measure accuracy, groundedness, safety, and consistency, and gate releases accordingly
• Partner closely with engineers, who own development, while you own the quality bar, the measurement, and the release gate for new features
• Serve as the point of quality for every release — making the call that there are no meaningful regressions and that new functionality meets the quality bar before it ships
• Provide a testing framework and standards for developers to build against, and enforce compliance across the team
• Bring best-in-class QA practice, tooling, and a quality culture to the team, leveling everyone up through standards, documentation, and example

Senior Experience, AI Quality Lead

• Act as the go-to AI resource for your assigned team by meeting with stakeholders, understanding their workflows and pain points, and identifying where AI can provide practical value
• Triage incoming AI requests and determine the right path forward, whether that’s building a quick solution yourself, guiding someone to do it, or escalating to the broader AI or platform team
• Design and build low-code AI solutions such as prompts, workflows, agents, and rapid prototypes, then test, iterate, and refine them based on real user feedback
• Lead working sessions and provide hands-on coaching to help teams adopt AI tools, improve how they work, and build their own solutions with confidence
• Analyze AI usage and adoption trends to identify where teams are getting stuck and proactively deliver targeted support and enablement
• Contribute to firm-wide AI initiatives by collaborating with other AI Coaches, supporting internal programs and content, and helping execute trainings, events, and workshops
• Continuously stay current on emerging AI tools and capabilities while expanding your own skill set and sharing best practices across the firm

AI Coach – AI Enablement, Adoption

• 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

Artificial Intelligence jobs in New Jersey

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Senior Director, Immunology Data & AI Systems

Senior Director, Immunology Data & AI Systems

Manager, AI Agents and Automation

Manager, AI Marketing Enablement

Ice Cream AI Specialist / AI Expert

Credit Risk AI Enablement

Group Head – AI

Manager, AI Marketing Enablement

Manager, AI Marketing Enablement

AI Business Partner

Senior Director, AI, Private Equity Transformation

Executive Partner, Artificial Intelligence Advisory – AI Strategist

VP, Enterprise AI Enablement

AI Business Architect

AI Advisory Director

Associate Director, AI Capabilities Execution

Associate Director, AI Capabilities Execution

Senior Experience, AI Quality Lead

AI Coach – AI Enablement, Adoption

AI Engagement Manager