Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Director, AI Engineering, Transformation Team role.
Rezi rewrites your resume against Mastercard's job description. Free.
Tailor your resume to this Director, AI Engineering, Transformation Team role.
Rezi rewrites your resume against Mastercard's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Director, AI Engineering, Transformation Team posting at Mastercard — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Director, AI Engineering, Transformation Team posting at Mastercard — free, in seconds.
About the Role
The Transformation Team leads strategic change initiatives to reimagine how Mastercard works and scales, simplifies, and accelerates business outcomes. The team partners across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, improve operating effectiveness, and ensure successful adoption of change. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance.
Responsibilities
- Develops and executes short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives.
- Drives the development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans.
- Collaborates with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies.
- Oversees the ML engineering lifecycle of AI/ML projects, from architecture, design to deployment and monitoring.
- Leads cross-functional teams in optimizing, fine-tuning, and deploying models that meet performance, robustness, and ethical standards.
- Provides technical guidance and mentorship to senior technical leads.
- Serves as a key stakeholder and influencer in cross-functional initiatives, aligning AI/ML solutions with strategic objectives.
- Defines and refines best practices, standards, and methodologies for AI/ML optimization, deployment, and maintenance.
- Contributes to organizational strategy by identifying emerging trends, evaluating new technologies, and recommending investments in AI/ML capabilities.
Requirements
- Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation.
- Experience bridging model development and real-world application, translating AI capabilities into business impact.
- Solid engineering background, with familiarity in Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns.
- Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale.
- Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes.
- Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities.
- Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences.
Skills
- Transformer architectures
- Generative AI
- Fine-tuning
- Prompting
- Embeddings
- Evaluation
- Python
- ML frameworks (PyTorch/TensorFlow)
- Production deployment patterns
- Data engineering
- MLOps practices
- Stakeholder management
- Communication skills
Location
- Purchase, New York
- Arlington, Virginia
- O'Fallon, Missouri
Work Type
- Full-time
Experience Level
- Director
Salary/Compensations
- Purchase, New York: $195,000 - $323,000 USD
- Arlington, Virginia: $196,000 - $323,000 USD
- O'Fallon, Missouri: $170,000 - $281,000 USD
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
- 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
About the Company
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- Together with our customers, we’re 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.
Equal Opportunity
- Mastercard is a merit-based, 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.
- We hire the most qualified candidate for the role.
- 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.