[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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