Company Description

Arvato is an innovative and leading global 3PL service provider in supply chain management and e-commerce. With 20,000 team members at over 100 locations, we focus on the Consumer Products, Tech, Healthcare, Automotive and Publisher industries.

You will work in an environment built on collaboration, respect, commitment and curiosity, where you can grow, contribute your ideas, and make an impact. Be part of the team that delivers logistics excellence and shapes supply chains globally. Working at Arvato means: Together, we’re on it.

Job Description

The Senior Manager of AI Strategy & Integration will lead the digital transformation of our logistics network. This role is specifically designed to accelerate business growth by deploying high-velocity AI solutions that reduce implementation cycles and enhance client satisfaction through superior service reliability and cost-efficiency. 

The Senior Manager of AI Strategy is a high-level technical leader who designs the roadmap for artificial intelligence across the global supply chain. You will lead the selection of AI models, oversee the integration into legacy systems, and ensure that AI initiatives drive measurable ROI in warehouse management, procurement, and transport logistics. 

• Accelerated Strategy: Build a multi-year AI roadmap focused on "quick-win" implementations that drive immediate growth and shorter time-to-value for clients. 
• Solution Architecture: Design end-to-end AI workflows that ingest SAP ECC/S4HANA data and deliver insights through .NET-based middleware or user interfaces. 
• Agile Rollouts: Oversee the rapid deployment of AI-driven features (e.g., automated tracking, predictive delivery) to increase client retention and satisfaction. 
• Cost-Efficient Scaling: Optimize cloud resource consumption (Azure/SAP BTP) to ensure AI initiatives remain profitable and sustainable at scale. 
• Stakeholder Alignment: Collaborate with VP-level executives in Logistics, IT, and Finance to align AI goals with business KPIs. 
• Data Governance: Establish standards for data cleanliness within SAP to ensure high-quality training sets for machine learning models. 

Qualifications

• SAP Expertise: Deep functional knowledge of SAP modules (MM, SD, PP, or EWM) and experience extracting data via SAP HANA or OData services. 
• Advanced .NET Development: Expertise in C# and the .NET ecosystem (Core/6+) for building scalable integration layers. 
• AI/ML Foundations: Proven experience with Machine Learning frameworks (ML.NET, TensorFlow, or PyTorch) and Large Language Models (LLMs). 
• Rapid Prototyping: Ability to lead Lean AI initiatives that move from Proof of Concept (PoC) to production in weeks rather than months. 
• Supply Chain Domain: Minimum 8 years of experience in logistics, freight, or manufacturing environments. 
• Leadership: Demonstrated ability to lead cross-functional technical teams and manage seven-figure budgets. 

Additional Information

• Company paid Medical, Dental, Vision, Life Insurance, and Accidental Death & Dismemberment Benefits.
• Non-taxable Long-Term Disability benefits.
• Paid Time Off, including paid holidays.
• Employee Assistance Program.
• Ongoing employee development training.
• Employee engagement activities.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.

You can contact the company’s Data Protection Officer at the above-mentioned postal address. 

Further information on data protection and your rights can be found here.

We strive to be an equitable, inclusive, and accessible workplace for our employees and value their diverse perspectives, which contribute to the diversity of our company. Therefore, we welcome applications from people who enrich our company with their identity, background and personal experience. We are committed to providing a barrier-free recruitment process in accordance with applicable human rights and accessibility legislation. We want to keep the application process as simple as possible for you: focus on a meaningful resume; we do not require an elaborate cover letter. Please know that we can only accept your application through our online application portal.

Learn more about our commitment to Equal Opportunity and Accommodation Information here.

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