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 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

• Facilitate development of AI strategies and roadmaps aligned to agency mission, priorities, and operational realities
• Advise leadership on AI investment planning, use case prioritization, and value realization
• Lead stakeholder engagements to assess organizational readiness, data maturity, and change considerations
• Translate complex AI concepts into clear, actionable recommendations for business and non-technical audiences
• Identify and define high-impact AI use cases across programs, operations, and service delivery
• Support evaluation and selection of AI technologies and solutions, including vendor and platform considerations
• Develop frameworks for responsible AI adoption, including governance, risk, and oversight
• Facilitate workshops and working sessions to build alignment across business, IT, and data teams
• Support early-stage implementation planning, including operating model, workforce impacts, and adoption strategy

Senior Consultant – AI Strategist

• 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

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI
• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies
• Balances hands-on AI model development with cross-functional coordination

Artificial Intelligence Architect – Senior/Lead

• 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

• 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.

• Lead the operational delivery of high-priority third-party AI onboarding engagements, including OpenAI and Anthropic, while ensuring compliance, configuration, and cross-functional coordination.
• Own the end-to-end Tech Onboarding and Marsh compliance process for significant tool onboarding requests, including intake, review, exception handling, and go-live readiness.
• Serve as the first point of contact for consultant and business lead requests related to AI experimentation, pilots, and deployments, triaging work and escalating strategic items appropriately.
• Partner with Product Strategy PMs, OWG Tech, Marsh Security, and vendor teams to keep the delivery pipeline moving, manage integrations, and identify risks early.
• Provide deputy leadership support as needed, representing the Build Team in meetings, maintaining continuity, and overseeing the Senior Tech Delivery Analyst.

Senior Technology Delivery Manager, Gen AI

• Subject matter expert on social media best practices to provide guidance to field marketing teams
• Assist with social media strategy development including social media content calendars, community management, listening, and data analysis for Aramark-facing B2B and client-facing B2C accounts
• Identify and track social KPIs; Build analytics dashboards to measure performance and success
• Help teams analyze results on campaigns and recommend changes to strategy where necessary
• Work in support role for AVA, Aramark’s AI chatbot
• Subject matter expert on AI Chatbot functionality, analytics, vendor management, etc. to assist in building continuous improvement
• Support user governance for ADAM, Aramark’s digital asset management platform where directed
• Login credential management of 500+ Aramark social media account handles
• Administrative support of Emplifi, ownership of all new user requests and structured onboarding
• Collaborate with key stakeholders on developing corporate enablement tools and social best practice documentation
• Conduct continuous training and support for all Emplifi users
• Manage and improve team’s intranet website
• Serve as project resource on future digital marketing projects outside of key scope as needed

Senior Specialist, Digital Governance – Agentic AI

• Support the execution and operationalization of Comcast Advertising’s enterprise AI strategy
• Responsible for translating strategic priorities into actionable plans
• Coordinate cross functional initiatives and ensure AI programs are delivered effectively and consistently across the organization
• Partner with Product, Engineering, Data Science, Sales, Finance, and HR to support AI portfolio planning and track progress
• Drive adoption of AI capabilities and build scalable processes to support governance activities
• Monitor adoption metrics and feedback to identify continuous improvement opportunities
• Manage delivery across assigned workstreams, including dependencies, timelines, and risks
• Ensure alignment with data, risk, and enterprise standards and maintain reporting dashboards

Senior Manager, AI Planning – Enablement

• Serve as Market Access SME and program owner for the Agentic AI program of work; translate US Market Access strategy into a prioritized roadmap and portfolio of mid‑to‑large AI initiatives (Tech and vendors build solutions; this role leads strategy, prioritization, and adoption).
• Partner with Market Access leadership, Access Optimization, Operations, Compliance, Legal, Privacy, Tech delivery, and external vendors/consultants to align priorities and secure sponsorship.
• Define and maintain the Agentic AI vision, roadmap, governance model, and operating cadence (program governance forums, intake, prioritization, interdependency management).
• Lead business case and ROI development for prioritized projects; own benefits realization plans and executive reporting for value tracking.
• Coordinate delivery with Tech and third‑party vendors: translate business requirements into clear delivery briefs, manage scope/timeline/quality expectations, and escalate risks or blockers.
• Design and execute change management and adoption strategies (communications, role redesign, training curricula, pilot-to-scale playbooks) to drive sustained behavioral change and measurable utilization.
• Establish success criteria, KPIs, and dashboards to monitor program health, adoption, and impact on efficiency.
• Oversee risk, compliance, and ethical considerations for autonomous AI solutions; partner with Legal, Privacy, Governance and Compliance to embed controls approved data use cases.
• Lead pilot evaluation and continuous improvement cycles: assess outcomes, capture learnings, iterate, and scale proven solutions across US Market Access.
• Select and govern vendors and external partners; ensure procurement, contracting, SLAs, and performance management support program goals.
• Build Market Access AI literacy and capability through workshops, playbooks, and stakeholder consulting—advocate for Agentic AI where it delivers strategic advantage.

Director, Agentic AI Solutions – US Market Access

• Define and drive the strategic direction and operational execution of Artificial Intelligence capabilities
• Own the development, communication, and execution of the enGen AI roadmap
• Drive AI adoption and programs within enGen and across the enterprise
• Commercialize enGen's AI capabilities to identify and seed new revenue streams
• Create and nurture strong partnerships across the enterprise and within enGen
• Deliver flexible, high-quality AI solutions and operational frameworks adhering to privacy policies

VP AI Strategy – Enablement

• 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

• The Marketing AI Product Specialist for CoCo acts as the critical link between Commercial Business Units and Pfizer’s AI Accelerator supporting adoption and impact of Pfizer’s Commercial AI Accelerator tools, bringing deep BU and functional expertise.
• Marketing is seeking [3] Marketing AI product specialists, with expertise to support Wave 2 & 3 CoCo Scale, across Omnichannel Orchestration, Data & Insights, & Marketing Optimization.
• Learn & support the full lifecycle of bringing an AI capability to market — from requirement-gathering through adoption to productivity, leading a new product to brands across commercial.
• Develop a working fluency in AI-native work, understanding not just what tools do, but how to integrate them into the cycle of field and marketing and what to evaluate as a business owner to launch AI workstreams.
• Shape how commercial teams engage with AI, taking this early opportunity to influence culture and ways of working in the era of AI.
• Grow your influence across functions by operating at the intersection of business strategy, technology, and change management, bringing your subject matter expertise and gaining new cross-functional skills.

Director, Marketing AI CoCo Product – Secondment 9-12 Months

• 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.

• Oversee AI governance practices
• Collaborate with stakeholders to ensure AI solutions are risk-rated
• Maintain inventories and dashboards for AI solutions
• Contribute to AI and data risk management development

Artificial Intelligence jobs in Pennsylvania

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Senior Director, Immunology Data & AI Systems

Senior Director, Immunology Data & AI Systems

AI-ML Director

Senior Consultant – AI Strategist

Head of AI Clinical Excellence

Director, AI Experimentation – Measurement

Artificial Intelligence Architect – Senior/Lead

Manager, AI Marketing Enablement

Manager, AI Marketing Enablement

Manager, AI Marketing Enablement

Senior Technology Delivery Manager, Gen AI

Senior Specialist, Digital Governance – Agentic AI

Senior Manager, AI Planning – Enablement

Director, Agentic AI Solutions – US Market Access

VP AI Strategy – Enablement

VP, Enterprise AI Enablement

Director, Marketing AI CoCo Product – Secondment 9-12 Months

Associate Director, AI Capabilities Execution

Associate Director, AI Capabilities Execution

AI & Data Risk Analyst