Data Engineering and Operations Leader

Data Engineering & Operations Leader

Janney is an award-winning full-service financial services firm committed to understanding our clients' needs and providing advice beyond investments. We are equally committed to building a diverse workforce and inclusive culture where employees can use their talents to thrive and grow professionally with the firm.

The Data Engineering & Operations Leader will lead the firm's Data Engineering & Operations function, delivering scalable, secure, and reliable data platforms that support reporting, analytics, operational workflows, and AI-enabled capabilities. Reporting to the Chief Data Officer, this role will partner with Technology, Information Security, Enterprise Architecture, Business leaders, and other key stakeholders.

This individual will define and execute the enterprise data platform architecture and engineering roadmap while overseeing data engineering, platform operations, and production support. The role will establish standards and operational disciplines that improve reliability, scalability, security, and delivery quality.

What You Are Good At

• Enterprise Data Platform Strategy & Architecture: Defining and executing scalable, secure, and resilient data platform strategies aligned with business and technology priorities.
• Data Engineering & Operational Excellence: Leading enterprise data engineering and operations while establishing standards, automation, Dev Ops practices, and disciplines that promote reliability and quality.
• Technology Modernization & Innovation: Modernizing complex data environments through cloud technologies, reusable architecture, and engineering best practices while balancing innovation, security, cost, and operational stability.
• Leadership & Strategic Delivery: Building high-performing technical teams and delivery models that leverage internal capabilities and strategic partners while fostering accountability, collaboration, and continuous improvement.

What You Will Do

Enterprise Data Platform

• Define and execute the enterprise data platform roadmap aligned with strategic priorities and the firm's technology direction.
• Establish technical architecture principles, engineering standards, and patterns that promote scalability, reuse, security, and operational excellence.
• Lead the evolution and modernization of enterprise data platforms, storage, and analytical environments.
• Partner with Enterprise Architecture, Technology, and Information Security to ensure alignment with enterprise, cloud, and cybersecurity standards.
• Evaluate emerging technologies and identify opportunities to improve performance, scalability, and business value while reducing technical debt.

Data Engineering & Platform Operations

• Lead the development and operational support of enterprise data pipelines, integrations, curated data products, and analytical structures.
• Establish engineering and operational practices that ensure reliable, secure, scalable, and high-performing data solutions.
• Oversee production monitoring, incident management, performance, capacity planning, and service reliability.
• Implement Dev Ops, automation, CI/CD, testing, and deployment practices that improve engineering efficiency and quality.
• Promote reusable components and standardized engineering practices across Enterprise Data.

Engineering Delivery & Strategic Partners

• Establish a scalable delivery model that effectively leverages internal engineering teams and strategic technology partners.
• Oversee delivery quality, capacity, performance, and resource requirements to meet current and future business demand.
• Establish performance expectations, operational metrics, and service levels for internal and external delivery teams.
• Continuously identify opportunities to improve engineering effectiveness and operational efficiency.

Technology Modernization & Continuous Improvement

• Modernize enterprise data platforms through cloud technologies, automation, reusable services, and engineering best practices.
• Improve platform performance, scalability, resiliency, security, and operational efficiency.
• Enable AI capabilities by providing trusted, scalable, secure, and accessible enterprise data.
• Promote engineering…