Associate Managing Consultant - Performance Analytics - Gen AI

Title and Summary

Associate Managing Consultant - Performance Analytics - Gen AI

Services is a key differentiator for Mastercard, providing cutting‑edge solutions that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end‑to‑end solutions for a diverse global customer base. Centered on data‑driven technologies and innovation, our services include consulting, loyalty and marketing programs, business experimentation, and data‑driven information and risk management services.

Our Performance Analytics associate managers are strategic leaders and data‑driven problem solvers who combine technical expertise with business insight to deliver impactful solutions. They oversee complex projects, manage client relationships, and guide internal teams to ensure successful delivery. Managers work with large and complex datasets, leveraging big data frameworks and advanced analytics tools to build robust data models. Increasingly, they lead initiatives involving Generative AI, predictive modelling, and machine learning—helping clients unlock actionable insights and drive measurable value.

Role and Responsibilities

• Lead data‑driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI, ensuring solutions deliver measurable client value.
• Design and oversee methodologies tailored to client problem statements, applying strategic thinking to account for internal and external constraints.
• Act as a trusted adviser to senior client stakeholders, influencing decision‑making and aligning recommendations with business priorities.
• Manage client expectations, risks, and opportunities, ensuring alignment with Mastercard’s strategic objectives.

• Manage end‑to‑end project delivery, including scoping, planning, execution, and quality assurance.
• Mentor and coach junior consultants, fostering a high‑performance culture and supporting career development.
• Ensure proper governance of project resources and repositories, maintaining version control, documentation, and accessibility.
• Drive internal workstreams and cross‑functional collaboration to meet deadlines and exceed client expectations.
• Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI‑driven and Generative AI solutions.

Basic Qualifications

• Graduate degree in Engineering, Business, or related field with strong data and analytics expertise.
• Minimum 5+ years of experience in data‑driven roles, including project and stakeholder management.
• Proven experience with descriptive, predictive, and prescriptive analytics.
• Strong technical foundation (SQL and Python required) and ability to lead complex analytical projects.
• Advanced proficiency in Word, Excel, and Power
  Point.
• Ability to manage multiple priorities across diverse clients in a fast‑paced, deadline‑driven environment.
• Excellent communication skills in English and local office language; additional European languages highly valuable.
• Eligibility to work in the country of application and ability to travel as required.

Preferred Qualifications

• Experience designing, implementing, and evaluating AI/ML and Generative AI models.
• Expertise in automating data pipelines and managing big data workflows (Hive SQL, Hadoop, Py
  Spark).
• Familiarity with visualization tools (Tableau, Power BI) and platforms like Databricks or Cloudera AI.
• Demonstrated ability to manage complex projects and lead cross‑functional teams.
• Strong business acumen and ability to translate technical insights into strategic recommendations.

Corporate Security Responsibility

• 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Human Resources
• Financial Services, IT Services and IT Consulting, and Technology, Information and Internet

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