Director, Center for Inclusive Growth - Tech for Good

Mastercard•Washington, DC
•$164,000 - $271,000

About The Position

The Tech for Good team is part of Mastercard’s Center for Inclusive Growth Global Programs team. It leads programmatic strategies and initiatives that accelerate the responsible adoption and scalable use of technology, including AI and data innovation, for social impact. The team works to address information inequality by improving processes, workflows, services, tools, data, systems, capabilities, and ecosystems, with the goal of creating measurable change and promoting inclusive growth, particularly in underserved and marginalized communities. Reporting to the Vice President, Tech for Good, the Director will build and manage the ecosystem of assets, tools, experts, and partners needed to scale social impact; enable effective exchange and use of Mastercard assets—including tools, data, AI, and technology—in support of the company’s social impact mission and the Center’s inclusive innovation agenda; and mainstream advanced analytics and usability across internal and external engagements. The role requires strong stakeholder engagement, analytical capability, and ecosystem management in a cross-functional, fast-paced environment. The Director will work to scale technology and data use among social impact organizations, manage grants and partnerships, strengthen data- and AI-driven decision-making, advise on research projects, manage proprietary tools, and support grantees’ data and AI maturity. The role also contributes to Mastercard’s information security responsibilities, including following security policies, protecting information, reporting suspected violations, and completing required security training.

Requirements

  • Experience providing innovative advanced analytical solutions with lasting strategic, operational, and financial impact.
  • Experience managing philanthropic grants in the tech for good sector.
  • A strong track record as an innovator and implementer, demonstrated through direct leadership of complex projects, senior product development roles, or comparable experience.
  • An established network in the data for good field.
  • Proven ability to envision, plan, and deliver strategic analytical systems, products, applications, and data to support a complex organization and social impact agenda.
  • Strong business and interpersonal skills, with the ability to work cross-functionally in a matrixed organization.
  • Ability to translate complex information into actionable insights.
  • Attention to detail and ability to work with urgency.
  • Proven ability to manage complex technical projects with cross-functional teams.
  • Good understanding of global privacy, data protection, and AI regulatory principles and standards.
  • Ability to work independently and remain self-motivated in a fast-paced environment.
  • Experience with philanthropic or nonprofit funding cycles and impact measurement.
  • Excellent spoken and written English communication skills, including well-developed public speaking skills.
  • Responsibility for following information security policies and practices, protecting the confidentiality and integrity of accessed information, reporting suspected security violations or breaches, and completing required security training.

Nice To Haves

  • Experience with machine learning methods and data mining using advanced analytical techniques, algorithms, and methodologies such as Python, R, or SAS.
  • Master’s degree in Computer Science, Data Science, Engineering, Public Policy, or a related field, with 5 or more years of experience in a relevant technical role.

Responsibilities

  • Scale the use and adoption of data, networks, technology, and AI for the digital transformation of social impact organizations focused on small business growth and financial health.
  • Build and maintain relationships with internal teams, creating two-way collaboration that brings a social impact lens to business teams and applies business expertise to the Center’s mission.
  • Build internal coalitions and leverage Mastercard’s people and technology for social impact, coordinating with Data for Good, Social Impact, and other relevant teams to identify opportunities to support the Center and its partners.
  • Manage and advise on a diverse portfolio of grants and partnerships aligned with the Tech for Good strategy, delivering strong outcomes and outputs.
  • Institutionalize data- and AI-driven decision-making across the Center and support the delivery, usability, and scaling of AI tools, infrastructure, and solutions for internal and external engagements.
  • Work with the Center’s Measurement & Evaluation lead to evolve measurement and evaluation frameworks and processes that support data-driven decision-making.
  • Advise on data-related research projects by helping define research objectives and collaborating with Research & Insights and partner organizations on outputs.
  • Translate inclusive insights from the Research & Insights team and reports into accessible visualizations, demonstrations, and prototypes.
  • Participate in technical communities and discussions to monitor emerging data science trends, use cases, and breakthroughs.
  • Manage the Center’s proprietary tools, including vendor-supported product development, delivery to users, marketing, and thought leadership activities.
  • Support the data and AI maturity of the Center’s grantees by working with the Global Programs team on grantee engagement strategy and leveraging internal and external partners.

Benefits

  • Medical, prescription drug, dental, vision, disability, and 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, prorated based on hire date.
  • 10 annual paid U.S. observed holidays.
  • 401(k) with a company match.
  • Deferred compensation for eligible roles.
  • Fitness reimbursement or on-site fitness facilities.
  • Tuition reimbursement eligibility.
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