{"id":3006157,"url":"https://alion.io/job/mastercard-manager-software-engineering-data-ai-platform","title":"Manager, Software Engineering | Data & AI Platform","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":87,"open_postings":186,"ghost_share":0.027,"stale_share":0.409,"repost_share":0.091,"time_to_fill_p50_days":26,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":161000,"max":266000,"currency":"USD","period":"year","gross":null,"usd_annual":266000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-21T13:50:10Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T09:09:51Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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, Software Engineering | Data & AI PlatformOverview:Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality, and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once.\nWe are looking for a Manager, Software Engineering to lead a new US-based team. Your first challenge is making business definitions, metrics and dataset relationships reusable across products, and the scope will grow from there. You will spend 40-50% of your time hands-on. In your first few months you will agree with product how you make decisions together, set the target architecture and ship a first end-to-end slice.\nAbout the Role:\nPartner with product management to understand users, shape scope and priorities, and share accountability for outcomes.\nManage and develop engineers: set goals, give regular feedback, run performance reviews, and help attract and grow talent as the team expands.\nOwn the team's technical direction and architecture: decide what to build, reuse or influence, and review designs and code.\nSpend 40-50% of your time hands-on where it counts most: critical designs, high-leverage code, and key reviews.\nOwn engineering execution and dependencies, turning ambiguity into clear decisions and plans.\nSet and uphold standards for design, testing, release, reliability, and cost, with clear ownership of production services.\nCommunicate progress, risks, and decisions to senior leaders, and help the team use AI tools where they genuinely improve speed or quality.\nAll About You:\nExperience managing engineers, including performance management and career development.\nStrong product judgement and a record of shaping what is built, not just delivering it.\nRecent hands-on experience designing and building production data services on a cloud platform such as Databricks, Snowflake or AWS.\nAdvanced knowledge of data modeling and data governance.\nAbility to turn ambiguity into clear decisions and influence across teams.\n• Clear communication with technical and senior audiences.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  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.\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 with Mastercard’s guidelines.\n\nIn line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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 and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.\n\nTHIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/19/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.\n\nPay Ranges\nArlington, Virginia: $161,000 - $266,000 USD","description_format":"text","description_chars":5667,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-21T13:50:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 110 · green card filings: 139","filings_12m":110,"filings_prev_12m":161,"green_card_filings_12m":139,"median_offered_wage_usd":137520,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.892,"p_room":1,"age_days":4,"expected_fill_days":26,"reasons":["conf:44","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":266000,"is_top_pay":true},"html_url":"https://alion.io/job/mastercard-manager-software-engineering-data-ai-platform","json_url":"https://alion.io/job/mastercard-manager-software-engineering-data-ai-platform.json","meta":{"generated_at":"2026-10-26T08:16:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10978,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":252},"rest":"https://alion.io/mcp/rest/get_company?id=252"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmastercard-manager-software-engineering-data-ai-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmastercard-manager-software-engineering-data-ai-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmastercard-manager-software-engineering-data-ai-platform"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mastercard-manager-software-engineering-data-ai-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmastercard-manager-software-engineering-data-ai-platform"}]}