{"id":2534227,"url":"https://alion.io/job/mastercard-manager-ai-data-strategy","title":"Manager, AI & Data Strategy","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":254,"ghost_share":0.016,"stale_share":0.358,"repost_share":0.094,"time_to_fill_p50_days":21,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":126000,"period":"year","method":"role_country_seniority_unknown","sample_n":745},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-14T13:44:23Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T03:01:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Our Purpose\nMastercard 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.\nTitle and Summary\nManager, AI & Data StrategyRole SummaryThe Manager, AI & Data Strategy is a developing subject-matter expert responsible for advancing Mastercard's AI and data strategy through research, stakeholder engagement and practical application of responsible AI principles. The role applies advanced knowledge of AI, data, analytics and governance to support strategic initiatives, influence decision-making and contribute to improvements across products, services and business processes.\nWorking closely with business, technology, legal, compliance, privacy and risk partners, the Manager helps evaluate emerging technologies, develops strategic recommendations, contributes to responsible AI frameworks and promotes the adoption of data-driven and AI-enabled ways of working across Mastercard.\nKey Responsibilities\nAI and Data Strategy Execution: Contribute to the execution of Mastercard's AI and data strategy by supporting strategic initiatives, identifying improvement opportunities and helping drive outcomes aligned to organisational priorities.\nResearch and Trend Analysis: Conduct advanced research into emerging AI, analytics and data trends, identifying innovative opportunities, potential risks and market developments relevant to Mastercard's products, services and operations.\nThought Leadership Development: Support internal and external thought leadership activities by synthesising industry developments, emerging technologies and regulatory trends into actionable insights for business and technology leaders.\nStrategic Insight Generation: Provide data-driven analysis and strategic recommendations regarding emerging AI capabilities, including future and hypothetical risks, helping leaders make informed decisions and strengthen organisational resilience.\nResponsible AI Framework Development: Contribute to the development and refinement of responsible data and AI governance frameworks, assessment models, methodologies and best practices that support innovation while protecting customer trust.\nGovernance and Risk Support: Support the design of forward-looking governance approaches, guardrails and ethical standards that help Mastercard proactively address evolving regulatory, societal and technology-related risks.\nAI and Analytics Adoption: Advise business and technology teams on integrating innovative analytics, generative AI and agentic AI approaches into products, services and operational processes while promoting responsible usage practices.\nCross-Functional Collaboration: Partner with product, engineering, legal, compliance, privacy, security, risk and business stakeholders to embed responsible AI and data practices into operational workflows and strategic initiatives.\nData and AI Literacy: Help foster a culture of data literacy and responsible innovation by creating practical guidance, facilitating discussions and enabling teams to better understand AI opportunities, limitations and risks.\nIndustry Engagement and External Visibility: Contribute to industry forums, standards discussions, research initiatives, publications and knowledge-sharing activities that enhance Mastercard's reputation as a trusted and responsible AI and data leader.\nKnowledge Asset Development: Develop reusable frameworks, research summaries, evaluation approaches, governance artefacts and educational materials that can be leveraged across Mastercard.\nPerformance Measurement and Continuous Improvement: Assess the effectiveness of governance practices, strategic initiatives and AI adoption efforts, recommending enhancements based on new evidence, industry developments and organisational needs.\nMentoring and Capability Building: Guide junior team members through coaching, work reviews and practical development opportunities, sharing best practices and helping build expertise across the AI and data strategy discipline.\nAll About You\nExperience in AI strategy, data strategy, analytics, responsible AI, product strategy, consulting or a related field.\nSolid understanding of generative AI, agentic AI, machine learning, analytics and data management principles.\nAbility to conduct research and translate complex technical, regulatory and industry developments into practical business insights.\nExperience influencing stakeholders and collaborating across multiple business and technical disciplines.\nKnowledge of responsible AI concepts including fairness, transparency, privacy, governance, accountability and model risk.\nStrong analytical and problem-solving skills with the ability to evaluate emerging opportunities and risks.\nExcellent written, verbal and executive communication skills.\nExperience developing presentations, strategic recommendations, frameworks or governance materials.\nAbility to balance innovation with appropriate risk management and governance considerations.\nStrong intellectual curiosity and interest in emerging technologies, societal trends and future business impacts.\nProven ability to operate effectively in ambiguous and rapidly evolving environments.\nBachelor's degree in business, data science, engineering, computer science, technology or related discipline.\nPreferred Experience\nExperience in payments, financial services or another highly regulated industry.\nExposure to AI governance, model governance, technology risk, privacy or compliance functions.\nExperience conducting market research, technology assessments or strategic analyses.\nExperience contributing to white papers, thought leadership publications, conference presentations or industry forums.\nFamiliarity with global AI regulatory developments and responsible AI frameworks.\nMeasures of Success\nResearch and analysis help identify meaningful opportunities and risks associated with emerging AI and data technologies.\nStrategic recommendations influence business decisions and contribute to responsible innovation initiatives.\nGovernance frameworks and AI assessment approaches are consistently applied across projects and initiatives.\nAI and analytics capabilities are adopted responsibly and effectively across supported teams.\nData and AI literacy improve through educational activities, frameworks and stakeholder engagement.\nCross-functional teams successfully embed responsible AI principles into products, services and operational processes.\nMastercard's internal and external thought leadership on AI and data strategy continues to mature and expand.\nJunior team members develop stronger expertise through coaching, mentoring and practical guidance.\n• The role consistently demonstrates the Mastercard Way by creating value, growing together, moving fast and doing the right thing.\nCorporate Security Responsibility\nAll 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:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance 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