Manager, Inclusive Innovation & Analytics, Center for Inclusive Growth

Our Purpose

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.

Title and Summary

Manager, Inclusive Innovation & Analytics, Center for Inclusive Growth

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.

The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world.

Reporting to the Vice President, Inclusive Innovation & Analytics, the Manager, Inclusive Innovation & Analytics, will focus on 1) mainstreaming advanced analytics to accelerate inclusive growth and the field of impact data science; 2) building and managing a network of experts and partners to shape the conversation around inclusive innovation and impact data science; 3) creating and/or scaling data science methodologies, products and tools to advance inclusive growth.

Key Responsibilities:

AI/ML Development

· Drive a strategy, use cases, solutions, and partnerships to design, build, implement, and scale AI/ML models that address inclusive growth and social impact challenges.

· Ensure ethical AI practices, including bias detection and mitigation, transparency, and fairness

Data Engineering/ Backend Data Integration

· Architect and maintain scalable data pipelines and APIs for ingesting, processing, and analyzing structured, unstructured, and curated datasets (e.g., text, audio, open data) in an integrated data management system.

· Implement DevOps practices for model deployment, monitoring, and CI/CD workflows.

· Ensure data quality, integrity, security, privacy regulations, and compliance across cloud environments (GCP, Azure).

Strategic Convenings & Stakeholder Engagement

· Translate technical insights into actionable strategies for stakeholders in philanthropy, government, and civil society.

· Plan and execute convenings, roundtables, and workshops by providing data-driven insights, technical demonstrations, and AI prototypes that inform policy and program design.

· Develop agendas, curate speakers, and facilitate dialogue that drive actionable outcomes.

· Actively participate in technical communities and conversations to monitor emerging data science and AI trends, use cases, and breakthroughs in the field.

· Manage a diverse portfolio of grants while delivering strong outcomes and outputs.

· Advise on and support the Center’s evolving cybersecurity work across its portfolio.


Qualifications:

· Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Public Policy, or a related field.

· 5+ years of experience in AI/ML development (preferred), data engineering, or a related technical role.

· Proven experience managing multi-stakeholder initiatives or convenings.

· Strong programming skills in Python and experience with DevOps tools and practices.

· Experience writing policy briefs, strategy documents, and technical memos

· Proven ability to translate technical findings into accessible language for non-technical stakeholders.

· Ability to define KPIs and track outcomes for convenings and technical initiatives; use of M&E frameworks to assess program effectiveness.

· Experience curating speakers, developing agendas, moderating discussions, managing event logistics, stakeholder coordination, and follow-up strategies.

· Proven ability to manage complex technical projects with cross-functional teams.

· Strong understanding of data processing and backend systems.

· Experience managing grants or program portfolios, including budgeting and reporting

· Familiarity with philanthropic or nonprofit funding cycles and impact measurement

Technical Skills & Expertise:

· Programming & DevOps: Proficient in data analysis tools (e.g., Python, R, SQL); experience with DevOps practices and tools for scalable deployment (FastAPI, Docker, Streamlit, CI/CD, containerization, model monitoring, infrastructure as code).

· Data Engineering: ETL pipelines, APIs, structured and unstructured data processing

· Data Visualization: Experience with data visualization platforms (e.g., Tableau, Power BI, D3.js)

· AI/ML Stack/Frameworks (Preferred): Understanding of AI/ML concepts, tools, and frameworks to support model development, fine-tuning, and prompting. (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, PromptLayer, LangGraph, CrewAI, AutoGen, OpenAgents, LoRA, PEFT, QLora, FlashAttention, etc.,)

· Cloud & Analytics Platforms (Preferred): Hands-on experience with Google Cloud Platform (GCP), Microsoft Azure, and related analytics services.

(Optional: Ideal Candidate):

You are a builder who thrives at the intersection of AI innovation and social good. You’re excited by the challenge of applying advanced machine learning to messy, real-world data, you bring proven skills in visioning, planning and executing the strategic deployment of analytical systems, products, applications and data to support a complex organization and ambitious social impact agenda —and you’re equally motivated by the opportunity to make a measurable difference in people’s lives.

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.

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.