Software Engineering Manager, Data

Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. The Software Engineering Manager, Data will lead a multidisciplinary team spanning data engineering, analytics engineering, data science, machine learning engineering, and data support while setting technical direction for Kard’s data platform and integrating data and machine learning capabilities into products and production systems.

Responsibilities:

• Lead, coach, and develop a multidisciplinary team across data engineering, analytics engineering, data science, machine learning engineering, and data support
• Set the technical direction for Kard’s data platform, improving its scalability, reliability, maintainability, and usefulness across the organization
• Increase automation and self-service while reducing manual workflows, recurring operational work, and unnecessary touch points across the Data team
• Partner with Engineering and Product to integrate data, analytics, and machine learning capabilities into Kard’s products and production systems
• Ensure Kard’s go-to-market teams have timely access to accurate, actionable data, while turning recurring requests into durable and scalable capabilities
• Establish clear priorities, ownership, and delivery practices across a portfolio that includes platform investments, product work, analytical needs, and operational support
• Guide architectural decisions and technical tradeoffs across data pipelines, analytics systems, production models, internal tooling, and data services
• Build a healthy, accountable team through clear expectations, direct feedback, career development, thoughtful hiring, and strong collaboration across disciplines

Requirements:

• Experience managing a technical team working across data engineering, analytics, data science, machine learning, or related software engineering disciplines
• The technical depth to assess system designs, review code and implementation approaches, and provide credible guidance to experienced engineers and data practitioners
• Working fluency across modern data platforms, data modeling, pipelines and orchestration, analytics systems, machine learning lifecycles, cloud infrastructure, and production software practices
• A record of improving technical platforms, automating manual processes, and creating systems that scale with the needs of the business
• Experience managing a team with a mix of foundational platform work, product development, stakeholder-driven requests, and operational responsibilities
• Strong judgment about when to build reusable capabilities, when to solve an immediate business need, and how to make those tradeoffs clear to stakeholders
• The ability to partner effectively with both Engineering and go-to-market teams, translating different needs and constraints into coherent priorities
• Experience setting expectations, managing performance, supporting career growth, and developing senior technical individual contributors
• The communication and organizational skills to operate with a high degree of autonomy while maintaining alignment with company and engineering leadership
• Commitment to fostering an inclusive work environment and actively contributing to team growth and cohesion
• U.S. core business hours availability and willingness to travel for company meetings
• Experience working with fintech, payments, card-linked offers, loyalty, or other transaction-intensive products
• Experience operating production machine learning systems or integrating models and decisioning capabilities into customer-facing products
• Experience with high-volume batch and real-time data systems
• Familiarity with technologies such as Databricks, dbt, AWS, Kubernetes, and Terraform