Director, Chief of Staff, AI & Data - MasterCard

Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Director, Chief of Staff, AI & Data Mastercard has some of the most valuable data assets in the world. We have been incredibly successful in using them with artificial intelligence to create technology and services that drive tremendous value to the payments ecosystem and our clients. Our enterprise AI & Data function will set the vision for Data and AI at Mastercard, enable the further adoption of AI technologies across the firm, support building industry-leading data and AI applications, and drive Mastercard to be a continued and visible leader in responsible data and AI. Mastercard seeks a Chief of Staff to the Chief AI and Data Officer. This employee will be responsible for principal management of the Chief AI and Data Officer (overseeing operations and partnering with executive assistant, communications advisor, and HR) and will also hold responsibility for team engagement. The employee will also be a member of the AI & Data Operations leadership team and help support the team in accomplishing their goals. KEY RESPONSIBILITIES PRINCIPAL MANAGEMENT • Ensure Chief AI and Data Officer is prepared for all internal and external engagements • Develop and manage briefing book process • Partner with executive assistant and Communications to strategically manage scheduling requests • Write memos and research topics as needed for Chief AI and Data Officer engagements • Attend meetings as backbench participant to execute on follow-up action items • Provide forward-looking perspective, think ahead, and maintain pulse and awareness of enterprise-wide AI and Data engagements TEAM ENGAGEMENT • Drive effective team organization and communication • Facilitate connection among the team by organizing leadership meetings, all-hands calls, office hours, etc. • Partner with communications advisor to provide regular team-wide internal updates • Solicit and implement feedback from the team on a regular basis • Drive a positive and productive culture SPECIAL PROJECTS • Enable strategic initiatives and achievement of objectives • Lead taskforces and content creation. Examples may include: board meeting materials, executive briefings, emerging product development topics (e.g., crypto, open banking, multi-rail, ESG, credit risk, consent management, etc.), product strategy, M&A/acquisition strategy, thought leadership, team narrative development, ad hoc leadership needs • Shepherd leadership team through cycled commitments and planning tasks. E.g.: priorities/objectives, quarterly business reviews, quarterly operating reviews, investor relations needs, corporate scorecard tracking, board preparation, risk tracking, and more • Nimbly respond to what the business needs. Execute on urgent needs, be a sounding board for team members, serve as a connection point for incoming (and outgoing) team requests CRITICAL LEADERSHIP CAPABILITIES In a competitive environment where data is a key point of differentiation, Mastercard's AI & Data organization must drive outcomes at an enterprise-level as well as within its three core businesses. As a result, it will be critical for this employee to: Collaborate and Influence • Be a critical core member of the Data and AI leadership team • Enable executive stakeholders to effectively influence the organization on the collective AI agenda • Identify and enable opportunities to build relationships that will help Mastercard achieve business objectives • Collaborate across the AI & Data team to manage projects, solve problems, and address challenging issues • Collaborate closely with cross functional teams, providing them with the necessary tools, resources and support to effectively sell products or services to other businesses All About You • Entrepreneurial mindset: eager to apply business acumen to drive team value • Domain knowledge: prior experience or coursework in AI and data science • Intellectually curious: has a passion for learning • Strategic: can understand ‘the big picture’ and exercise good business judgment • Analytical: can analyze and draw conclusions from large and/or complex data sources • Strong stakeholder management and political awareness across teams and levels • Sense of urgency; responsive, proactive, excel under pressure with strong attention to detail (e.g., fast turnarounds, leadership visibility) • Problem solver: can structure, break down, and solve complex business issues • Self-directed: can manage his/her own work in a fast-changing environment • Capable project manager, and can toggle between strategic and tactical/detail-oriented views • Standout content/storytelling skills (meetings, email, presentations – including leveraging data) • Passionate about creating a positive, productive culture • Able to work effectively in a highly matrixed organization • Strong technical expertise, including prior experience in artificial intelligence, data science Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. 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. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.