Team Lead MLOps (D/F/M), DHL Data & AI

Deutsche Post; Bonn; Hybrid; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work arrangement Bonn/remote

Competitive salary package

Job ticket for public transport

Parking space for a monthly fee

Bicycle leasing

Daycare facilities

International, inclusive team

Job summary

DHL Data & AI, part of Deutsche Post DHL Group, invites a Team Lead MLOps to drive end-to-end AI initiatives from PoC to production in Bonn. You will guide cross-functional teams, ensure governance and platform excellence, and shape strategic roadmaps for enterprise ML adoption.

You will lead a 5–7 person MLOps group, foster talent, and collaborate with business, data, and technology stakeholders to create measurable value while maintaining security and risk standards.

Qualifications

• Proven experience leading cross-functional teams in data/AI projects.
• Strong ability to translate business needs into scalable ML pipelines.
• Hands-on experience delivering AI/ML solutions or data platforms is a plus.
• Familiarity with governance, security, and risk considerations in AI.

Responsibilities

• Frame business issues, define value hypotheses and success metrics.
• Plan resources and timelines for MLOps projects from PoC to production.
• Lead cross-functional teams and remove roadblocks for scalable delivery.
• Ensure governance, documentation, and adherence to security standards.
• Contribute to internal MLOps frameworks and reusable templates.
• Shape roadmaps and platforms to enable enterprise-wide ML adoption.
• Coach and develop a team of MLOps engineers.

Skills

Leadership

Stakeholder management

MLOps

Project management

Communication

People development

Problem solving

Education

Bachelor's or Master's in CS/Data Science/Engineering

Tools

Cloud platforms (AWS/Azure/GCP)

CI/CD tooling

Job description

Team Lead MLOps (D/F/M)

Creating value at DHL Group through data and AI innovation!

At DHL Data & AI, our primary objective is to design and deliver scalable AI solutions that create tangible business value across DHL Group. We work end-to-end, from small, fast Proof of Concepts that validate potential to fully deployed AI solutions built in close partnership with business and engineering teams. To support this, we continuously optimize our data and AI platforms to ensure secure, cost-efficient, and reliable foundations for our solutions.

Alongside this core focus, we also strengthen the organization through data governance, training, technology incubation, and community building. We are committed to scaling Data & AI capabilities sustainably and accelerating digitalization across DHL Group.

Join our growing team in Bonn as Team Lead MLOps (d/f/m) and shape the company further!

Who we are:

DHL Data & AI is a Global Business Service Line in DHL Group, focusing on leveraging data to create business value. We are a dynamic, innovative, and diverse team with approximately 100 talented professionals, including Data Engineers, Cloud Engineers, MLOps Engineers, DevOps Engineers, Data Scientists, and Architects.

DHL Group is the leading mail and logistics service provider in the world. As one of the planet's largest employers operating in over 220 countries and territories, we see the world differently. Join our team as a Team Lead for Data Scientists to deliver AI solutions that create measurable business value. You own the lifecycle from discovery with stakeholders to scaled delivery, adoption, and continuous improvement while developing people and strengthening our standards for quality, safety, and impact.

What you will do:

• Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initial requirements into scalable MLOps solutions with clear roadmaps.
• Drive MLOps projects from PoC to production by planning resources and timelines, defining scalable ML/AI architectures, and validating data and platform readiness with technical and business experts.
• Provide project oversight by leading cross-functional expert teams (e.g., Data Science, AI Engineering, Information Security) and by working closely with Consulting on large-scale projects. Remove roadblocks, set success criteria, ensure adoption of standardized pipelines, monitor solution health (performance, reliability, cost efficiency), and guide teams toward operational excellence.
• Promote Responsible AI and platform governance by ensuring compliance with security, privacy, and risk standards. Oversee documentation of evaluations, guardrails (e.g. LLM safety patterns), CI/CD workflows, MLOps policies, and architecture decision records.
• Contribute to the development and continuous improvement of internal MLOps frameworks and accelerators by structuring requirements, aligning stakeholders, and steering expert teams to create reusable delivery models, templates, and best practices.
• Evolve the MLOps service offering and operating model by shaping strategic roadmaps, enhancing platform capabilities, and aligning with stakeholders across business, data, and technology to drive enterprise-wide ML adoption.
• Lead and develop a team of 5 - 7 MLOps engineers. Foster a strong team identity, guide career growth, provide coaching and continuous feedback, and perform fair and structured performance assessments.
• Support the future growth of the organization by interviewing new candidates or by representing DHL Data & AI at events and conferences.

What you bring:

• 10+ years of experience in IT delivery or technology project/program management, including 5+ years leading complex, cross-functional teams (data science, engineering, platform, business).
• Proven experience delivering AI/ML-enabled solutions or data platforms, acting as the bridge between business, data science, and engineering rather than as a hands-on developer.
• Strong ability to structure and steer MLOps initiatives: defining scope, milestones, governance, quality gates, and success metrics from PoC to scaled production.
• You communicate complex technical concepts clearly and pragmatically, enabling alignment between technical experts and non-technical stakeholders, including senior management and clients.
• Strong stakeholder management skills: you build trust, manage expectations, resolve ambiguity, and consistently turn early ideas into structured, successful delivery programs.
• A high level of results-orientation and personal drive; you take ownership naturally and are intrinsically motivated to shape the direction and culture of a fast-growing organization.
• People-centric leader and coach, focused on team development, motivation, and psychological safety, while maintaining a clear, outcome-oriented delivery mindset.
• Experience in making informed decisions on tooling, platforms, and operating models (cloud, CI/CD, data/platform choices) in close collaboration with architects and engineers.
• Comfortable working in enterprise environments, with an understanding of risk management, data protection, model governance, and AI responsibility.
• Solid conceptual understanding of modern AI trends (incl. LLMs and GenAI) and their operational implications, enabling responsible adoption without needing hands-on implementation expertise.

What we offer:

At DHL Data & AI, we offer an array of benefits designed to support your professional growth and personal well-being. Here is what you can expect when you join our team:

• Comprehensive training programs, workshops, and e-learning resources to prioritize your growth and development.
• A flexible work arrangement that combines office presence in Bonn and work from home, promoting work-life balance and adaptability.
• A competitive salary package, inclusive of various attractive benefits, to ensure employee well-being and satisfaction.
• Diverse commuting options, including a job ticket for public transportation, parking space for a monthly fee, or bicycle leasing, to suit your preference.
• Access to DHL Group's daycare facilities for working parents.
• A vibrant, inclusive, and cooperative international setting that inspires innovative thinking.

CONNECTING PEOPLE. IMPROVING LIVES.