Mastercard · 3 days ago
Manager - AI Strategy & Solutions Delivery
Mastercard is a global leader in digital payments, and they are seeking a Manager for AI Strategy & Solutions Delivery. This role is responsible for driving enterprise-scale AI and automation strategy, defining roadmaps, and leading cross-functional delivery to enhance efficiency and innovation within the organization.
FinanceFinancial ServicesInformation TechnologyPayments
Responsibilities
Identify, qualify, and prioritize high impact AI, analytics, and agentic automation opportunities across business domains
Quantify full value at stake and value levers (automation, augmentation, revenue lift, risk mitigation), with clear dependencies and path to realization
Bringing together expertise in AI, data engineering, solution architecture, and relevant business domains to design fit-for-purpose solutions leveraging LLMs, RAG, and agentic automation
Translating ambitious north star visions into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery
Achieving maximum scale from AI solutions by proactively identifying and addressing barriers to scale and generalizing solutions to multiple applications
Partner with vendors and internal platform teams on best practices on platform (i.e., Copilot Studio, Azure OpenAI, Power Platform, AWS Bedrock, Sagemaker, Databricks, etc.) governance to ensure enterprise grade scalability, security, and compliance
Serve as solutions architect and product owner for critical initiatives—defining scope, non functional requirements, SLAs/SLOs, and acceptance criteria
Partnering with AI and ML engineering leaders to manage versioning, iteration planning, and solution delivery, creating transparency for business stakeholders and proactively mitigating delivery issues
Building productive relationships with key business stakeholders to help them co-own the AI solutions, enabling the business to provide feedback and guidance all stages of development
Bringing business expertise and focus on value capture to AI problem-solving during development, helping the team to maximize impact and minimize unnecessary complexity
Augmenting our business stakeholders’ teams with AI and change management expertise, helping them to realize maximum value from AI solutions
Leading in interactions with AI and ML engineering teams to develop and codify more effective ways to AI and strategy teams to collaborate
Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements
Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale
Develop and maintain three synchronized roadmaps: stakeholder engagement & adoption, use case portfolio, and technical capabilities/platform evolution
Conducting peer training and authoring thought leadership along with other members of the team to augment the full team’s skills
Developing new delivery frameworks and helping the team build new service offerings
Qualification
Required
Years using data and AI to solve complex business problems and drive measurable impact in large, regulated environments
Proven track record influencing and aligning executives and cross functional teams to deliver outcomes at portfolio scale
Hands on leadership of technology strategies in AI/ML, analytics, BI, and automation—spanning both low code (e.g., Copilot Studio/Power Platform) and pro code stacks
Strong communicator—executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy
Familiarity with large datasets, ML modeling, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents & tools)
Practical understanding of evaluation and safety for LLM/ML solutions (offline/online testing, adversarial testing, guardrails, telemetry, policy enforcement)
Comfortable with analytics scripting (Python/R preferred) and data/ML platforms (e.g., Azure, AWS, Databricks/Snowflake, MLflow, feature stores, CI/CD)
Deep experience with Agile at scale and TBM/portfolio practices; adept at structuring multi horizon investment cases and benefits realization
Bachelor's degree in Computer Science, Engineering, or related; Master's preferred—or equivalent practical experience
Preferred
Payments/financial services experience preferred (PCI, data privacy, model risk management, compliance)
Benefits
Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days, pro-rated based on date of hire
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
Company
Mastercard
Mastercard is a financial network that processes payments between banks and cardholders.
H1B Sponsorship
Mastercard has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (540)
2024 (319)
Funding
Current Stage
Public CompanyTotal Funding
unknown2006-05-25IPO
Leadership Team
Recent News
Morningstar.com
2026-01-08
Morningstar.com
2026-01-08
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