Role at a glance
- Job function
-
AI & Data AI Strategy & Consulting AI Solutions Architecture
- Salary
- Not Disclosed
- Location
- Vienna, Austria
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Five years of full-time experience in a fast-paced strategy, management consulting, corporate strategy, or business intelligence role
- Education
- Quantitative degree (Computer Science, Data Science, Engineering, Mathematics, Physics) combined with business acumen
- Visa support
- Eligibility to work in the country specified for this job posting
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Role Summary
The AI Managing Consultant will work within Mastercard Advisors & Consulting Services in Strategy & Transformation, combining strategy consulting with hands-on Generative and Agentic AI expertise. The role translates AI capabilities such as LLMs, agents, RAG, and MLOps into client outcomes across payments, banking, and commerce while connecting business intent with technical execution.
What You'll Do
- Lead AI delivery and serve as the client-facing AI subject-matter expert.
- Advise C-level stakeholders on AI strategy, operating-model design, data and technology foundations, talent implications, and governance.
- Contribute to AI strategy and program development for regional and international clients.
- Structure projects, conduct and oversee analyses, synthesize findings, and lead internal and client meetings.
- Encourage rapid build-test-learn cycles through notebooks, prompt engineering, and agent demos.
- Embed Responsible AI principles into engagements and coach teams on Mastercard's AI processes and policies.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Quantitative degree combined with business acumen; five years of experience in strategy, management consulting, corporate strategy, or business intelligence; hands-on experience building and deploying RAG, copilot, or multi-step reasoning applications; working fluency in Python and the data/ML ecosystem; familiarity with cloud AI platforms and MLOps; business fluency in English and German; ability to travel to client sites.
Required
- Computer Science, Data Science, Engineering, Mathematics, or Physics
- RAG architectures
- Task-specific copilots or multi-step reasoning systems
- LangChain or LangGraph
- Spec-driven development
- Python
- pandas
- SQL
Preferred
- Deep learning frameworks such as TensorFlow or PyTorch
- Top-tier strategy consulting combined with an applied AI/analytics unit, or equivalent AI product lead experience
- Delivery of an AI/ML or GenAI use case from concept to production impact
- Financial services, payments, or commerce experience
- AI operating models, agentic workflows, or Center-of-Excellence setups
- Strong storytelling and executive-communication skills
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
AI Managing Consultant (Fluent in German)Our purposeMastercard 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
What You’ll Do
• 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
How We Work
• 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.
Qualifications
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.
About the company
Mastercard
Large Enterprise
Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.