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Mastercard

Manager, Data Science & AI Community Enablement

Mastercard

Published 28 Mar 2026
Toronto, Canada
109K - 158K CAD Annual
Remote
Full Time

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Role Highlights

Languages used

Key skills

Machine Learning
Data Science
Prompt Engineering
Computer Science
Information Security
Change Management
Program Management
AI
Transformation
CAD

Tools, Libraries and Frameworks

Description

\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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, Data Science & AI Community Enablement Overview The AI Transformation Team is responsible for accelerating enterprise-wide adoption of AI and data-driven practices at Mastercard. A core pillar of this work is the Data Science & AI Guild, which builds community, capability, and culture for Data Scientists and AI Engineers across the company. As Manager, Data Science & AI (Community & Enablement Lead), you will lead the Guilds community and learning strategy, driving engagement, skill development, and responsible AI adoption aligned to Mastercards enterprise AI learning priorities. You will partner closely with AI practitioners, product teams, Learning & Development, Communications, and risk and governance stakeholders to scale AI fluency and impact across the organization. You will partner to support Guild communications, events, and engagement. The ideal candidate is an experienced Data Analyst/Scientist or AI Engineer with a passion for community leadership, enablement, and cross functional collaboration. Role Responsibilities: In this role, you will: Lead the AI & Data Guild strategy, shaping a vibrant, inclusive community for Data Scientists and AI Engineers and positioning the Guild as a hub for collaboration, learning, and innovation. Support and scale the Guilds Special Interest Groups (SIGs) focused on specific remits (MCPs, Workbench tooling etc.) by recruiting leaders, coordinating activities, and ensuring SIG outputs (e.g., best practices, reusable assets, community standards) are shared across the broader AI & Data community. Drive community engagement and culture through flagship events (e.g., Data Science Summit, GuildFest), regular forums, and knowledge-sharing initiatives that celebrate impact and best practices. Advance AI & Data Science learning and upskilling, partnering with Learning & Development to deliver role-based pathways aligned to Mastercards Learning Framework, from AI Literacy to AI Fluency and AI Impact. Own Guild knowledge platforms and content, ensuring AI resources, training materials, and community contributions are current, high-quality, and aligned with enterprise standards. Provide insights and thought leadership, bringing external trends, benchmarks, and best practices into the Guild and partnering with Communications to highlight community impact. Measure and improve impact, defining and tracking engagement, learning adoption, and AI impact metrics to continuously refine Guild programs and demonstrate business value. All About You: The ideal candidate has: Proven community or program leadership, with experience leading communities of practice, enablement programs, or large-scale learning and engagement initiatives in a matrixed environment. Strategic program management skills, including the ability to set vision, execute multi workstream programs, and apply change management principles to drive adoption. Excellent communication and storytelling abilities, comfortable engaging technical audiences, presenting insights, and serving as a visible advocate for AI and data science initiatives. A learning and development mindset, with experience or strong interest in technical upskilling, adult learning principles, and building practical, role-relevant learning experiences. Innovation and external perspective, staying current on AI trends and translating industry insights into actionable community and learning priorities. Leadership and mentorship experience, with the ability to inspire, coach, and influence through collaboration rather than authority. A global mindset, with comfort working across regions and time zones and occasional travel for major events. Strong Interest AI and Data Science, Machine Learning, or AI Engineering Preferred - hands-on experience delivering data-driven or AI-powered solutions. Education: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field preferred; equivalent practical experience will be considered. \\#AI2 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\\ 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 Mastercards 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 Mastercards guidelines. In line with Mastercards total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team. \\\\Pay Ranges\\\\ Toronto, Canada: $109,000 - $158,000 CAD

Required Qualifications and Skills

The ideal candidate possesses proven community or program leadership experience, with a background in leading communities of practice, enablement programs, or large-scale learning and engagement initiatives within a matrixed environment. Strategic program management skills are essential, including the ability to set vision, execute multi-workstream programs, and apply change management principles. Excellent communication and storytelling abilities are required to engage technical audiences and advocate for AI and data science initiatives. A learning and development mindset, with experience or strong interest in technical upskilling and adult learning principles, is also necessary. An advanced degree in Computer Science, Data Science, Machine Learning, or a related field is preferred, though equivalent practical experience will be considered.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

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