Managing Consultant, Advisors & Consulting Services, Business Experimentation (Enterprise GenAI[...]

Job description

Managing Consultant, Advisors & Consulting Services, Business Experimentation (Enterprise GenAI Solutions)
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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
Managing Consultant, Advisors & Consulting Services, Business Experimentation (Enterprise GenAI Solutions)
Overview
Mastercard’s Services team helps clients across industries make smarter decisions through data‐driven insights, innovative products, and executional excellence.

Our Advisors & Consulting Services (ACS) team combines traditional consulting with Mastercard’s rich data and proprietary platforms like Test & Learn.

This role uniquely blends Business Experimentation consulting with a strong innovation lens.

We are seeking a versatile Consulting Manager who can lead client engagements focused on experimentation, while also bringing hands‐on or team‐led experience in implementing enterprise Generative AI (GenAI) solutions.

The ideal candidate should be comfortable working across business and technical teams, with the ability to vet implementation quality and guide data product strategy.


Client Impact
Lead client engagements across a range of industries and business problem statements
Develop strategies and programs for regional and global clients by leveraging data science tools, including Test & Learn
Own key relationships with mid‐level to senior client stakeholders, and independently assess client agenda, internal culture, and change readiness
Provide analytical and technical subject matter expertise to drive client success, particularly in the adoption and effective use of experimentation platforms and AI‐powered insights
Translate client goals into experiment design, business recommendations, and scalable deployment plans
Innovation & Technical Oversight
Assess feasibility and value of GenAI and ML solutions for enterprise clients
Lead or advise on technical delivery of AI‐enabled products and experimentation workflows
Evaluate work from engineering and data science teams for quality and alignment with business objectives
Identify where AI capabilities can enhance experimentation and guide use‐case scoping and deployment planning
Team Collaboration & Culture
Lead teams to generate creative insights and actionable recommendations, and deliver compelling client presentations
Provide day‐to‐day leadership on analytical project delivery and create a collaborative, inclusive team environment
Guide professional growth of junior consultants through coaching, on‐the‐job training, and feedback
Collaborate across internal stakeholders to co‐create relevant, scalable solutions and grow Mastercard’s consulting knowledge base
Qualifications
Undergraduate degree with a strong analytical or technical foundation
Experience managing client relationships and leading cross‐functional teams across multiple projects
Past experience implementing enterprise‐grade GenAI or AI/ML solutions, either hands‐on or by leading technical teams
Demonstrated ability to apply data‐driven insights to solve complex business problems
Strong problem‐solving, storytelling, and communication skills
Fluency in business KPIs and organizational dynamics
Ability to manage multiple engagements in a fast‐paced, dynamic environment
Preferred / Highly Valued
Ability to review and guide technical implementations for quality and business fit
Familiarity with SQL, data modeling, and/or data visualization tools (e.g., Tableau, Power BI)
Experience with model fine‐tuning, prompt engineering, and retrieval‐augmented generation (RAG)
Familiarity with cloud platforms (AWS, Azure, GCP) and scalable infrastructure for AI workloads
Strong grasp of data engineering, including data pipelines, preprocessing, and synthetic data generation
Exposure to AI/ML deployment practices (e.g., LLMs, retrieval‐augmented generation, model evaluation)
Experience in product co‐creation or innovation consulting
MBA or master’s degree with relevant specialization (not required)
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.


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