Finance AI Engineering

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com.

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.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Functional Engineering

Job Category:

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

We are seeking a Finance AI Engineering Manager to 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 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

1. AI Strategy & Finance Transformation Leadership

• Serve as the AI lead for all Finance Technology initiatives within 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 cases across Finance processes

2. AI-Enabled SDLC (SASA) Implementation

• Design and implement AI-first SDLC frameworks across SigniFi:

  • 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

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 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

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 frameworks aligned 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 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/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:

Capacity Leveling, Contingency Planning, Controls Compliance, Cross-Functional Collaboration, Developing Others, Human-Computer Interaction (HCI), Inclusive Leadership, IT Service Continuity Management (ITSCM), Leadership, Management Systems Implementation, Motivating People, Performance Measurement, Software Development Management, Tactical Planning, Team Management, Technical Development, Technologically Savvy, Workflow Analysis