{"id":884647,"url":"https://alion.io/job/kardfinancial-software-engineering-manager-data","title":"Software Engineering Manager, Data","company":{"id":679460,"name":"Kard","domain":"kardfinancial.com","url":"https://alion.io/company/kardfinancial","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-03T23:21:23Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-11-05T15:42:20Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a step-change in scale, and for opportunities ranging from more relevant rewards and marketer intelligence to new commerce and distribution models.\nAbout the Role\nAs Software Engineering Manager, Data, you will lead a 12-person multidisciplinary team spanning data engineering, analytics engineering, data science, machine learning engineering, and data support. Together, these functions own the systems and workflows that move, model, analyze, and operationalize Kard’s data, while supporting both customer-facing product development and the day-to-day needs of our go-to-market teams.\nReporting to the Director of Data & Platform, you will have significant autonomy to shape the team, set technical direction, and determine how we invest across platform development, product integration, automation, and stakeholder support. This is a technical management role: you will not necessarily write production code every day, but you should be able to evaluate architecture, review code and technical designs, guide implementation decisions, and contribute directly when useful.\nResponsibilities\nLead, coach, and develop a multidisciplinary team across data engineering, analytics engineering, data science, machine learning engineering, and data support.\nSet the technical direction for Kard’s data platform, improving its scalability, reliability, maintainability, and usefulness across the organization.\nIncrease automation and self-service while reducing manual workflows, recurring operational work, and unnecessary touch points across the Data team.\nPartner with Engineering and Product to integrate data, analytics, and machine learning capabilities into Kard’s products and production systems.\nEnsure Kard’s go-to-market teams have timely access to accurate, actionable data, while turning recurring requests into durable and scalable capabilities.\nEstablish clear priorities, ownership, and delivery practices across a portfolio that includes platform investments, product work, analytical needs, and operational support.\nGuide architectural decisions and technical tradeoffs across data pipelines, analytics systems, production models, internal tooling, and data services.\nBuild a healthy, accountable team through clear expectations, direct feedback, career development, thoughtful hiring, and strong collaboration across disciplines.\nDesired Skills\nExperience managing a technical team working across data engineering, analytics, data science, machine learning, or related software engineering disciplines.\nThe technical depth to assess system designs, review code and implementation approaches, and provide credible guidance to experienced engineers and data practitioners.\nWorking fluency across modern data platforms, data modeling, pipelines and orchestration, analytics systems, machine learning lifecycles, cloud infrastructure, and production software practices.\nA record of improving technical platforms, automating manual processes, and creating systems that scale with the needs of the business.\nExperience managing a team with a mix of foundational platform work, product development, stakeholder-driven requests, and operational responsibilities.\nStrong judgment about when to build reusable capabilities, when to solve an immediate business need, and how to make those tradeoffs clear to stakeholders.\nThe ability to partner effectively with both Engineering and go-to-market teams, translating different needs and constraints into coherent priorities.\nExperience setting expectations, managing performance, supporting career growth, and developing senior technical individual contributors.\nThe communication and organizational skills to operate with a high degree of autonomy while maintaining alignment with company and engineering leadership.\nCommitment to fostering an inclusive work environment and actively contributing to team growth and cohesion.\nU.S. core business hours availability and willingness to travel for company meetings.\nBonus Points\nExperience working with fintech, payments, card-linked offers, loyalty, or other transaction-intensive products.\nExperience operating production machine learning systems or integrating models and decisioning capabilities into customer-facing products.\nExperience with high-volume batch and real-time data systems.\nFamiliarity with technologies such as Databricks, dbt, AWS, Kubernetes, and Terraform.\nRemote - USA Pay Range\n$180,000—$220,000 USD\nWhy Join:\nKard recognizes the unique value each of us brings to our collective success. As part of our remote-first team, you'll have the autonomy to influence our trajectory, actively contributing to the growth of our business and the evolution of our company culture. By embodying our core values of Initiative, Openness, and Humility, you will not only witness but directly foster an inclusive and dynamic work environment, from the executive level down.\nOur competitive benefit plan includes:\nFlexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being\nObservance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only)\nHealth, Dental and Vision Insurance\n401k with employer match (US employees only)\nCoworking space and WFH setup reimbursement\nCompany Offsites for planning, team-building, and networking\nKard is an equal opportunity employer and we actively encourage applicants of all genders, backgrounds, and experiences to apply. 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