[Remote] Senior Manager, Engineering

Note: The job is a remote job and is open to candidates in USA. JD Power is a leading organization focused on powering auto-related decisions through data and analytics. They are seeking a Senior Engineering Manager to lead multidisciplinary engineering teams responsible for data platforms, analytics applications, and AI-driven solutions, driving technical strategy and operational excellence.

Responsibilities

• Lead and mentor engineering managers and multidisciplinary engineering teams across data engineering, analytics, and application development functions
• Define and execute technical strategy for large-scale analytics platforms, data pipelines, and AI-enabled solutions
• Drive adoption of engineering best practices throughout the Software Development Lifecycle (SDLC)
• Partner with product, business, and engineering stakeholders to prioritize initiatives and allocate resources effectively
• Champion engineering excellence through architecture reviews, code quality standards, and technical governance
• Oversee performance management, coaching, succession planning, and career development for engineering leaders
• Monitor organizational KPIs, platform reliability, and operational effectiveness to drive continuous improvement
• Remove delivery obstacles and serve as an escalation point for cross-functional and technical challenges
• Support recruitment efforts, participate in senior-level hiring decisions, and help scale a diverse engineering organization
• Stay current on emerging technologies and identify opportunities to leverage AI, cloud technologies, and modern data architectures

Skills

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience
• 7+ years of software development experience, including 4+ years in engineering leadership or management roles
• Demonstrated success leading and developing engineering teams and people leaders in a distributed environment
• Strong experience with data engineering, ETL/ELT pipelines, data platforms, or modern data warehouse technologies
• Hands-on technical background in .NET technologies, including C#, ASP.NET Core, or related frameworks
• Experience working with large-scale analytics systems and high-volume data environments
• Knowledge of modern database and data warehouse technologies such as ClickHouse, Snowflake, Redshift, or BigQuery
• Experience implementing or supporting AI, machine learning, LLM, or generative AI solutions in production environments
• Deep understanding of software architecture, code review practices, and all phases of the Software Development Lifecycle
• Strong experience managing complex projects, competing priorities, and organizational change in fast-paced environments
• Excellent communication, stakeholder management, and decision-making skills
• Experience with cloud platforms such as AWS, Azure, or GCP is considered an asset
• Previous experience building or scaling enterprise analytics and reporting platforms is preferred

Company Overview

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