AI Engineering- Finance

Johnson & Johnson Johnson & Johnson · Pharma · New Brunswick, NJ +1

Lead the AI transformation of Finance within the SigniFi program, implementing an AI-enabled SDLC, accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms. This role requires a blend of AI/ML expertise, SAP technical depth, and finance experience to translate strategy into scalable, enterprise-grade solutions.

What you'd actually do

  1. Serve as the AI lead for all Finance Technology initiatives within SigniFi
  2. Define and implement the AI roadmap for Finance (Transact, TMS, FlexOps)
  3. Drive the transition toward Digital FTE and AI-augmented operations
  4. Identify and prioritize high-value AI use cases across Finance processes
  5. Design and implement AI-first SDLC frameworks across SigniFi

Skills

Required

  • Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • 8+ years of experience in technology, with exposure to AI/ML and enterprise systems
  • AI/ML concepts (predictive models, NLP, generative AI)
  • Enterprise platforms (SAP S/4HANA preferred)
  • Data engineering and integration
  • Implementing automation or AI solutions at scale
  • Proven leadership in driving transformation initiatives

Nice to have

  • Experience with SAP BTP AI capabilities and extensions
  • Knowledge of Finance processes (Record-to-Report, Treasury, Planning)
  • Familiarity with AI-enabled SDLC (SASA, copilots, DevOps automation)
  • Python, ML frameworks
  • AI copilots / LLM platforms
  • RPA tools (e.g., UiPath)

What the JD emphasized

  • AI-enabled SDLC
  • AI-first delivery model
  • intelligent automation
  • decision support
  • SAP technical depth
  • finance proven experience
  • AI-assisted design
  • Automated code generation & testing
  • Intelligent defect prediction and resolution
  • AI copilots
  • automation tools
  • Predictive analytics
  • Generative AI solutions
  • SAP S/4HANA
  • Treasury systems (TMS)
  • FlexOps platforms
  • SAP BTP
  • AI services
  • external AI platforms
  • clean-core compliant AI extensions
  • real-time data-driven decisioning
  • AI models
  • SAP ecosystems
  • Digital FTE metrics
  • value realization
  • Reduce manual effort
  • Improve cycle times
  • Enhance decision quality
  • AI-driven business impact
  • data governance
  • model integrity
  • explainability
  • AI governance frameworks
  • Compliance (SOX, audit requirements)
  • Security and privacy standards
  • AI bias
  • hallucination
  • data leakage
  • Organizational adoption of AI capabilities
  • Upskill teams on AI tools
  • automation
  • new ways of working
  • AI/ML advancements
  • SAP AI roadmap
  • Joule
  • BTP AI services
  • emerging technologies
  • continuous innovation
  • experimentation
  • AI/ML concepts
  • enterprise systems
  • Data engineering and integration
  • automation or AI solutions at scale
  • transformation initiatives
  • SAP BTP AI capabilities
  • extensions
  • Finance processes
  • AI-enabled SDLC
  • copilots
  • DevOps automation
  • Python
  • ML frameworks
  • AI copilots / LLM platforms
  • RPA tools
  • UiPath
  • AI strategy
  • measurable business outcomes
  • digital transformation
  • innovation in Finance
  • stakeholders
  • future-ready AI talent
  • AI strategy for Finance
  • productivity
  • cost optimization
  • decision-making quality
  • Digital Finance operating model
  • future-ready Finance capabilities

Other signals

  • AI-enabled SDLC
  • AI-augmented operations
  • Generative AI solutions
  • Predictive analytics
  • Intelligent automation