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AI Engineering- Finance

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-06-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 102000 - 177100 USD Yearly USD 102000.00 177100.00 YEAR
Job Description & How to Apply Below

Job Function

Technology Product & Platform Management

Job Sub Function

Functional Engineering

Job Category

People Leader

All Job Posting Locations

New Brunswick, New Jersey, United States of America

Job Description

We are seeking a Finance AI Engineering Manager to lead the AI transformation of Finance within the Signi Fi program, enabling next-generation capabilities across Transact, Treasury (TMS), Flex Ops, and SAP BTP.

This role will serve as the primary AI lead for Finance Technology, responsible for implementing an AI-enabled SDLC (SASA / AI-first delivery model), accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms.

The candidate combines AI/ML expertise, SAP technical depth, and finance proven experience, with a strong ability to translate strategy into scalable, enterprise-grade solutions.

Key Responsibilities AI Strategy & Finance Transformation Leadership
  • Serve as the AI lead for all Finance Technology initiatives within Signi Fi
  • Define and implement the AI roadmap for Finance (Transact, TMS, Flex Ops)
  • Drive the transition toward Digital FTE and AI-augmented operations
  • Identify and prioritize high-value AI use cases across Finance processes
AI-Enabled SDLC (SASA) Implementation
  • Design and implement AI-first SDLC frameworks across Signi Fi:
    • AI-assisted design (FDS/TDS generation)
    • Automated code generation & testing
    • Intelligent defect prediction and resolution
  • Embed AI copilots and automation tools into development workflows
  • Standardize AI-driven development practices across teams and vendors
AI Solutions Development & Deployment
  • Lead the design and deployment of:
    • Predictive analytics (e.g., forecasting, anomaly detection)
    • Intelligent automation (RPA + AI)
    • Generative AI solutions (code, documentation, finance insights)
  • Integrate AI capabilities into:
    • SAP S/4

      HANA (Transact / CFIN)
    • Treasury systems (TMS)
    • Flex Ops platforms
    • SAP BTP (AI services, extensions, automation)
SAP BTP & AI Architecture
  • Leverage SAP BTP AI services and external AI platforms to build scalable solutions
  • Design clean-core compliant AI extensions
  • Enable real-time data-driven decisioning across Finance systems
  • Ensure seamless integration between AI models and SAP ecosystems
Digital FTE & Productivity Acceleration
  • Define and track Digital FTE metrics and value realization
  • Drive automation to:
    • Reduce manual effort
    • Improve cycle times (close, planning, forecasting)
    • Enhance decision quality
  • Partner with Finance leaders to quantify AI-driven business impact
Data, Governance & Responsible AI
  • Ensure strong data governance, model integrity, and explainability
  • Establish AI governance frameworks aligned with:
    • Compliance (SOX, audit requirements)
    • Security and privacy standards
  • Mitigate risks related to AI bias, hallucination, and data leakage
Cross-Functional Leadership & Change Management
  • Partner with:
    • Finance (FP&A, Controllership, Treasury)
    • Technology (TS, Architecture, Data & AI teams)
    • External vendors and AI partners
  • Drive organizational adoption of AI capabilities
  • Upskill teams on AI tools, automation, and new ways of working
Innovation & Continuous Improvement
  • Stay at the forefront of:
    • AI/ML advancements
    • SAP AI roadmap (Joule, BTP AI services)
  • Pilot and scale emerging technologies across Finance
  • Develop a culture of continuous innovation and experimentation
Qualifications 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
  • Strong experience in:
    • AI/ML concepts (predictive models, NLP, generative AI)
    • Enterprise platforms (SAP S/4

      HANA preferred)
    • Data engineering and integration
  • Experience implementing automation or AI solutions at scale
  • Proven leadership in driving transformation initiatives
Preferred
  • Experience with SAP BTP AI capabilities and extensions
  • Knowledge of Finance processes (Record-to-Report, Treasury, Planning)
  • Familiarity with AI-enabled SDLC (SASA, copilots, Dev Ops automation)
  • Experience with tools such as:
    • Python, ML frameworks
    • AI copilots / LLM platforms
    • RPA tools (e.g., UiPath)
Leadership Competencies (J&J Aligned)
  • Drive Results:
    Translates AI strategy into measurable business…
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