\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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\\\\ Senior Analyst, AI Enablement Overview The Capacity Planning team plays a critical role in enabling data-driven, scalable, and efficient decision-making across the organization. The team is responsible for building and operating the Capacity Planning ecosystem, including data inputs, modeling, governance, and reporting platforms. As the ecosystem evolves, the team is focused on strengthening automation, insight generation, and decision support by leveraging advanced analytics and AI capabilities. This includes improving how documentation, analytics, and operational metrics are transformed into actionable intelligence for business partners and leadership. The team operates at the intersection of business, data, and technology, partnering closely with stakeholders across Services, Technology, and Analytics to continuously improve how capacity planning insights are generated, governed, and consumed. Role This position sits within the Capacity Planning technical capabilities team and will own the AI Enablement pillar for the Capacity Planning ecosystem. The role focuses on identifying high-value AI opportunities, delivering proof-of-concept initiatives, and building a structured roadmap to evolve capacity planning into a more intelligent, automated, and insight-driven platform. The role blends business problem solving with technical execution and stakeholder engagement. The individual will work closely with platform owners (Airtable, Alteryx, Tableau, Data Governance), Technology and Business partners to translate opportunities into scalable AI-enabled solutions. Responsibilities \- Own AI enablement for the Capacity Planning ecosystem. \- Identify, evaluate, and prioritize AI use cases across documentation, analytics, modeling, governance, and decision support. \- Design and deliver proof-of-concept (PoC) initiatives to validate value and scalability. \- Build and maintain an AI roadmap aligned with business priorities and platform maturity. \- Develop AI-powered knowledge solutions, enabling Q&A over documentation, metrics, assumptions, and model logic. \- Apply AI for semantic analysis, trend detection, comparisons, outlier identification, and automated narrative generation. \- Partner with Technology and Data Science teams to ensure solutions are secure, scalable, and compliant. \- Translate business problems into AI-enabled workflows and products, not just models. \- Communicate outcomes through clear storytelling and stakeholder engagement. All About You \- Degree in Engineering, Data Science, Analytics, Computer Science, Business, or similar. \- Experience working with AI, advanced analytics, automation, or data science solutions in a business environment. \- Ability to design and execute proof-of-concept projects and translate ideas into practical solutions. \- Strong problem-solving skills with the ability to manage large and complex datasets. \- Experience with tools such as Python, SQL, Tableau, Alteryx, automation platforms, or AI/NLP frameworks is a plus. \- Comfortable operating between business and technology, translating needs into solutions. \- Strong stakeholder management and communication skills. \- Structured mindset with the ability to work in ambiguous problem spaces. \- Analytics background is an advantage. \- Ability to see beyond requests to understand root causes and opportunities for automation and insight generation. \\\\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 Mastercards 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 Mastercards guidelines.

The role requires experience working with AI, advanced analytics, automation, or data science solutions in a business environment. The individual must be able to design and execute proof-of-concept projects and translate ideas into practical solutions. Strong problem-solving skills are necessary, along with the ability to manage large and complex datasets. Experience with tools such as Python, SQL, Tableau, Alteryx, automation platforms, or AI/NLP frameworks is considered a plus. The candidate should be comfortable operating between business and technology, translating needs into solutions, and possess strong stakeholder management and communication skills. A structured mindset is important for working in ambiguous problem spaces, and an analytics background is advantageous.