AI Consulting Project Manager (Fluent in German)

Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Our purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Advisors & Consulting Services

Within Mastercard Advisors & Consulting Services in Strategy & Transformation, we are building a dedicated AI-native consulting profile – combining the rigor of top-tier strategy consulting with deep, hands-on expertise in Generative and Agentic AI. This profile is designed to translate frontier AI capabilities (LLMs, agents, RAG, MLOps) into measurable client outcomes across payments, banking, and commerce – bridging boardroom strategy and engineering execution.

Roles and Responsibilities

Impact You Generate

Lead AI delivery and act as the client-facing AI subject-matter expert – translating business problems into AI/agentic solution architectures (e.g. LLM selection, RAG vs. fine-tuning, agent orchestration, agentic framework selection, context engineering, loop engineering) and pressure-testing feasibility, ROI, and Responsible-AI guardrails

Advise C-level stakeholders on AI strategy, operating-model design, data & tech foundations, talent implications, and governance

Responsibilities

• Contribute to AI strategy and program development for regional and international clients, applying AI, data, and technology solutions to create measurable client value with your project teams
• Independently structure your projects, conduct and oversee required analyses and synthesize project findings as well as take ownership and lead internal and client meetings
• Champion an experimentation and prototyping mindset — encourage rapid build–test–learn cycles (notebooks, prompt engineering, agent demos) instead of slide-only deliverables.
• Embed Responsible AI principles (bias, explainability, data privacy, model risk) into every engagement and coach the team on Mastercard's AI processes & policies

Requirements

• Basic qualifications
• Quantitative degree (Computer Science, Data Science, Engineering, Mathematics, Physics) combined with business acumen
• Five years of full-time experience in a fast-paced strategy, management consulting, corporate strategy, or business intelligence role
• Strong hands-on experience building and deploying applications based on RAG architectures, task-specific copilots or multi-step reasoning systems (e.g., LangChain/LangGraph), and spec-driven development; hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) is a plus, not a requirement
• Working fluency in Python and the data/ML ecosystem (pandas, SQL, notebooks); familiarity with cloud AI platforms (Azure AI Foundry, Databricks, AWS Bedrock, or GCP Vertex) and MLOps concepts
• Ambitious and result-oriented individual seeking to grow your career in an international setup
• Strong analytical skills to frame complex business problems, translate them into AI-enabled solution opportunities, and guide project teams toward practical, data-driven outcomes
• Proven ability to translate between business stakeholders and technical teams — i.e., “AI translator” capability combined with high empathy and senior stakeholder management.
• Eligibility to work in the country specified for this job posting
• Ability to travel to client sites, both nationally and internationally, on a semi-regular basis; business fluency in English and German
• Preferred qualifications
• Background blending top-tier strategy consulting (e.g., MBB) with an applied AI/analytics unit — or equivalent industry experience as an AI product lead
• Track record of delivering at least one AI/ML or GenAI use case from concept to production impact, ideally in financial services, payments, or commerce
• Experience designing AI operating models, agentic workflows, or Center-of-Excellence setups for large enterprises
• Strong storytelling and executive-communication skills — able to switch between a technical deep-dive with engineers and a CEO-level narrative
• Ambitious mindset with willingness to go the extra mile acting as a role model for your project team
• Tech Stack
• Python, LLM, Agent Orchestration, RAG, Vector DBs, MCP servers, Skills & Harnesses, Context Management, Loop Engineering, CI/CD, Observability, Docker, Azure/AWS/GCP
• Corporate Security Responsibility
• All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Conditions

We work in interdisciplinary teams that connect business intent with technical execution on the ground, not in siloed hand-offs between strategy and engineering.

We contribute to Mastercard's AI intellectual capital — reusable accelerators, agent blueprints, prompt libraries, and internal upskilling of the broader consulting team.

We expect ownership and an ambitious, extra-mile mindset, acting as a role model for the project team.