Senior Manager, Engineering

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🔥 15 hours ago

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚗 Transport

☁️ SaaS

🤝 B2B

Transport • SaaS • B2B

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Health insurance • Professional development opportunities