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Added 1 min ago
UO
Principle Systems Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
Supports and advises the C2BMC-G Chief Engineer, Architect, Technical Advisor, and GAMMA lead on development of a global node for C2BMC
Added 1 min ago
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Sales Manager (AI Solutions)
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Cambridge, ON
- Full-time
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Added 2 mins ago
Project Manager - Halifax
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Added 32 mins ago
Senior Conveyance Engineer – Civil Engineering
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Thornhill, ON
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Added 32 mins ago
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Added 32 mins ago
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Winnipeg, MB
Demonstrating interest and participation in professional development activities.
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- Full-time
A deep, hands-on, background in modern software development and practices
Added 32 mins ago
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Added 47 mins ago
MF
Operations Administrator
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- Full-time
Generate invoices using accounting software or templates;
Added 47 mins ago
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- Full-time
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Added 1 hour ago
CM
Senior Performance Media Manager, Investment
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- Full-time
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Added 1 hour ago
Global Supply Chain Manager
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Work with your team to analyze and continuously improve supply chain workflows and warehouse processes, focusing on maximizing efficiency, reducing lead times, and minimizing costs.
Added 1 hour ago
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Sales Executive, Cloud & AI
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- Full-time
…cloud services can deliver digital transformation. You will lead a virtual team of sales, technical, and services resources to help customers realize transformation through cloud computing.…
Added 1 hour ago
WI
Assistant Spa Manager - The Wickaninnish Inn
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- Full-time
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Added 1 hour ago
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Senior Fullstack Developer
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- Full-time
Application Development – Lead the end-to-end development of full stack applications, ensuring high-quality code and scalable architecture.
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Financial Services Representative II, TB Outbound (6 Month Contract)
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Wealth Planning Consultant, Private Wealth
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Added 1 hour ago
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Manager Engineering
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Added 1 hour ago
VC
Booking Clerk
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Vancouver, BC
- $28.74 CAD / hour
- Other
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Added 1 hour ago
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Added 2 hours ago
Quantitative Equity Alpha Research
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Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. This requires…
Added 2 hours ago
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Project Manager (Municipal Infrastructure)
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Added 2 hours ago
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Added 2 hours ago
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Bertelsmann-Jobs

Sr. Manager, AI Strategy & Integration

Front St W, 2nd Floor, Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: Supply Chain Domain: Minimum 8 years of experience in logistics, freight, or manufacturing environments.
Posting language: English
Posted: Oct 1, 2026

Original job description

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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LegalEntity: Arvato USA LLC

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More about this job

Responsibilities

The Senior Manager will lead the digital transformation of the logistics network by designing and deploying high-velocity AI solutions. They will oversee the integration of AI models into legacy systems to drive measurable ROI across warehouse management, procurement, and transport logistics.

Requirements

Candidates must have at least 8 years of experience in logistics or manufacturing and deep functional knowledge of SAP modules. Proficiency in .NET development and experience with machine learning frameworks like TensorFlow or PyTorch are also required.

Skills

AI strategy
SAP EWM
SAP S/4HANA
C#
.NET Core
ML.NET
TensorFlow
PyTorch
Supply chain management
Logistics
Data governance
Solution architecture
Predictive analytics
Cloud resource optimization
Stakeholder management
Budget management

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Accidental death and dismemberment insurance
Long-term disability benefits
Paid time off
Paid holidays
Employee assistance program
Employee development training

Visa sponsorship

Not detected in the job text

Keywords

AI Strategy
Logistics
Supply Chain Management
SAP
S/4HANA
EWM
OData
C#
.NET
ML.NET
TensorFlow
PyTorch
LLMs
Azure
SAP BTP
Data Governance
Machine Learning
Digital Transformation
Warehouse Management
Procurement
Transport Logistics
Lean AI
Proof of Concept
Middleware
Predictive Delivery
Automated Tracking
ROI
KPIs
3PL
E-commerce

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