Desired Skills

• 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.

Bonus Points

• 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.

Originally posted on Himalayas