Team Lead MLOps (d/f/m)

DHL Data & AI; Bonn; Hybrid; EUR 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Comprehensive training programs

Flexible Bonn/home work arrangement

Competitive salary package

Public transport job ticket

Parking space for a monthly fee

Bicycle leasing

Daycare facilities access

Inclusive, international team culture

Zusammenfassung

DHL Data & AI in Bonn seeks a Team Lead MLOps to own lifecycle from discovery to scaled delivery, and to develop people while elevating standards for quality, safety, and impact. You will lead data-driven AI initiatives across business and engineering teams in a fast-growing organization.

Responsibilities include steering PoC to production, ensuring governance, and driving enterprise-wide ML adoption with a strong focus on team development and stakeholder alignment.

Qualifikationen

• 10+ years of IT delivery or technology project/program management experience.
• 5+ years leading complex, cross functional teams (data science, engineering, platform, business).
• Proven experience delivering AI/ML enabled solutions or data platforms.
• Strong ability to structure MLOps initiatives with governance and metrics.
• Clear communication bridging technical and non-technical stakeholders, including senior management.

Aufgaben

• Build and maintain relationships with business stakeholders and frame issues with value metrics.
• Drive MLOps projects from PoC to production with scalable architectures and readiness checks.
• Provide project oversight by leading cross functional expert teams and removing roadblocks.
• Promote Responsible AI and platform governance with documentation and guardrails.
• Develop internal MLOps frameworks and reusable delivery templates and best practices.
• Shape strategic roadmaps and align with stakeholders to drive enterprise wide ML adoption.
• Lead and develop a team of 5–7 MLOps engineers with coaching and performance assessments.
• Support growth by interviewing candidates and representing DHL Data & AI at events.

Kenntnisse

Leadership

Stakeholder management

Communication

Delivery governance

Strategic roadmaps

Team coaching

Cross-functional collaboration

Problem solving

Ausbildung

IT delivery / program management

Jobbeschreibung

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 in MLOps 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.

If you have any questions, please reach out to us via: [e-mail]