Job Title: Senior Managing Consultant, Advisors & Consulting Services - GenAI Strategy & Deployment Overview: Director/Senior Managing Consultant, Advisors & Consulting Services, GenAI Strategy & Deployment (Financial Services) Position Overview Reporting to the Principal and working closely with the Mastercard AI team, the Senior Managing Consultant / Director role will spearhead GenAI-driven consulting engagements for clients—especially card issuers and other financial services organizations. You will lead multidisciplinary teams of data scientists, ML engineers, and business strategists to develop long term strategies to build GenAI solutions and implement GenAI solutions that transform how clients approach analytics, automation, and value generation. In This Role, You Will Shape and deliver AI strategies that address complex business challenges for payments-centric companies. Advance the firm’s AI capabilities through consistent thought leadership, external outreach, and the development of new service offerings. Mentor and grow junior colleagues, fostering a collaborative team culture around innovative AI methodologies. Key Responsibilities •Develop GenAI-Driven Strategies for Business Impact •Identify high-impact opportunities for GenAI within client organizations, particularly in card issuing and payments. •Quantify the full value potential of GenAI solutions, detailing the value levers, critical dependencies, and feasibility pathways to maximize ROI. •Architect end-to-end GenAI solutions by combining expertise in data engineering, solution design, and domain-specific knowledge (e.g., credit card issuing). •Secure Alignment from executive stakeholders, translating ambitious AI visions into actionable plans with clear timelines, deliverables, and success metrics. •Scale effective GenAI initiatives across multiple use cases, proactively addressing technical or organizational hurdles to ensure widespread adoption. •Lead Rapid, Iterative GenAI Delivery •Partner with GenAI and AI engineering leaders to oversee project roadmaps, ensuring iterative versioning, pilot rollouts, and timely stakeholder updates. •Collaborate closely with business leaders to co-own solutions, gather continuous feedback, and adjust scopes for maximum business value. •Drive a balanced approach to problem-solving, focusing on both technical feasibility and strategic payoff—avoiding unnecessary complexity. •Augment client teams by providing change management and GenAI expertise, ensuring full realization of value and adoption of best practices. •Expand Thought Leadership & External Network •Publish and present on cutting-edge GenAI methods and industry insights—e.g., through whitepapers, case studies, conference keynotes, and journal articles. •Build an external network of GenAI experts, industry leaders, and academic partners to keep the firm at the forefront of emerging AI trends. •Advise on best practices around AI ethics, governance, and regulatory considerations in financial services. •Elevate the firm’s reputation by participating in relevant forums, client discussions, and industry events, driving new business opportunities. •Innovate & Scale the GenAI Operating Model •Develop new delivery frameworks and methodologies to enhance the speed and consistency of GenAI project execution. •Codify best practices, creating reusable assets (templates, playbooks) that help internal teams replicate successful approaches. •Mentor junior colleagues, providing technical guidance and career development support to foster a robust, forward-thinking GenAI community. •Champion cross-functional collaboration, ensuring alignment among data science, engineering, and business teams to deliver holistic solutions. Qualifications & Skills • Experience: 10+ years leading data-driven strategies and delivering measurable outcomes (preferably in financial services, payments, or card issuing). • GenAI Hands-on experience: Developed and deployed GenAI use cases with proven value from end to end. Developed tools with open source LLM models (e.g., Deepseek, Liama). • Thought Leadership: Demonstrated history of publishing, speaking at conferences, or driving innovative AI solutions in a recognized industry setting. • Communication: Excellent executive-level presentation skills and the ability to translate complex AI concepts for non-technical stakeholders. • Agile Mindset: Familiarity with agile methodologies, iterative development, and modern technology project management practices. •Financial Services Domain: Deep understanding of the payments ecosystem and key operational challenges relevant to card issuers. •Leadership: Experience managing direct reports and/or cross-functional teams, with a track record of mentoring talent and building high-performing groups. •Education: Bachelor’s degree (or higher) in computer science, engineering, or related fields; Master’s degree or equivalent advanced study strongly preferred. #AI To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.