AI Engineering- Finance

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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Job Description:

We are seeking a Finance AI Engineering Managerto lead the AI transformation of Finance within the SigniFi program enabling next-generation capabilities across Transact Treasury (TMS) FlexOps 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 supportacross 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

1. AI Strategy & Finance Transformation Leadership

• Serve as the AI lead for all Finance Technology initiativeswithin SigniFi

• Define and implement the AI roadmap for Finance (Transact TMS FlexOps)

• Drive the transition toward Digital FTE and AI-augmented operations

• Identify and prioritize high-value AI use casesacross Finance processes

2. AI-Enabled SDLC (SASA) Implementation

• Design and implement AI-first SDLC frameworksacross SigniFi:

  • AI-assisted design (FDS/TDS generation)

  • Automated code generation & testing

  • Intelligent defect prediction and resolution

• Embed AI copilots and automation toolsinto development workflows

• Standardize AI-driven development practicesacross teams and vendors

3. 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/4HANA (Transact / CFIN)

  • Treasury systems (TMS)

  • FlexOps platforms

  • SAP BTP (AI services extensions automation)

4. SAP BTP & AI Architecture

• Leverage SAP BTP AI servicesand external AI platforms to build scalable solutions

• Design clean-core compliant AI extensions

• Enable real-time data-driven decisioningacross Finance systems

• Ensure seamless integration between AI models and SAP ecosystems

5. 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

6. Data Governance & Responsible AI

• Ensure strong data governance model integrity and explainability

• Establish AI governance frameworksaligned with:

  • Compliance (SOX audit requirements)

  • Security and privacy standards

• Mitigate risks related to AI bias hallucination and data leakage

7. 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

8. Innovation & Continuous Improvement

• Stay at the forefront of:

  • AI/ML advancements

  • SAP AI roadmap (Joule BTP AI services)

• Pilot and scale emerging technologiesacross Finance

• Develop a culture of continuous innovation and experimentation

Qualifications

Required

• Bachelors or Masters degree in Computer Science Data Science Engineering or related field

• 8 yearsof 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/4HANA 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 DevOps 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 outcomes

• Shape:Leads digital transformation and innovation in Finance

• Connect:Aligns stakeholders across Finance and Technology

• Lead:Builds and develops future-ready AI talent

Impact & Scope

• Defines the AI strategy for Finance within SigniFi globally

• Directly influences productivity cost optimization and decision-making quality

• Enables transition to a Digital Finance operating model

• Acts as a key enabler for future-ready Finance capabilities at J&J

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

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