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Mastercard

Processes payments across a global network

Manager, Advisors & Consulting Services - AI Strategy

Technology & Systems ConsultingUpdated on Nov 10
Full-timeVienna, AustriaNo salary listed

About the Job

Requirements

  • A quantitative degree in Computer Science, Data Science, Engineering, Mathematics, or Physics, combined with business acumen.
  • Five years of full-time experience in strategy, management consulting, corporate strategy, or business intelligence.
  • Strong hands-on experience building and deploying applications based on retrieval-augmented generation architectures, task-specific copilots, or multi-step reasoning systems such as LangChain or LangGraph, and experience with spec-driven development.
  • Working fluency in Python and the data and machine-learning ecosystem, including pandas, SQL, and notebooks.
  • Familiarity with cloud AI platforms such as Azure AI Foundry, Databricks, AWS Bedrock, or GCP Vertex, and with MLOps concepts.
  • Strong analytical skills to frame complex business problems, translate them into AI-enabled solution opportunities, and guide project teams toward practical, data-driven outcomes.
  • Ability to translate between business stakeholders and technical teams, combining AI translator capability with empathy and senior stakeholder management.
  • Eligibility to work in the country specified for the job posting.
  • Ability to travel to client sites nationally and internationally on a semi-regular basis.
  • Business fluency in English and German.
  • Ability to lead client-facing AI delivery and advise stakeholders on AI strategy, operating-model design, data and technology foundations, talent implications, and governance.

Responsibilities

  • Lead AI delivery as the client-facing AI subject-matter expert, translating business problems into AI and agentic solution architectures, including LLM selection, retrieval-augmented generation versus fine-tuning, agent orchestration and framework selection, context engineering, and loop engineering, while assessing feasibility, return on investment, and Responsible AI guardrails.
  • Contribute to AI strategy and program development for regional and international clients, applying AI, data, and technology solutions to create measurable client value with project teams.
  • Independently structure projects, conduct and oversee analyses, synthesize findings, and take ownership of and lead internal and client meetings.
  • Champion experimentation and prototyping through rapid build-test-learn cycles using notebooks, prompt engineering, and agent demonstrations rather than slide-only deliverables.
  • Embed Responsible AI principles, including bias, explainability, data privacy, and model risk, in every engagement, and coach the team on Mastercard AI processes and policies.
  • Contribute reusable accelerators, agent blueprints, prompt libraries, and internal upskilling for the broader consulting team.

Desired Qualifications

  • Hands-on experience with deep-learning frameworks such as TensorFlow or PyTorch.
  • A background combining top-tier strategy consulting, such as MBB, with an applied AI or analytics unit, or equivalent industry experience as an AI product lead.
  • A track record of delivering at least one AI, machine-learning, or Generative AI 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.
  • Storytelling and executive-communication skills, including the ability to switch between technical deep dives with engineers and CEO-level narratives.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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