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About the Role

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. This role will partner with Technology, Information Security, Enterprise Architecture, Business leaders, and other key stakeholders to define and execute the enterprise data platform architecture and engineering roadmap while overseeing data engineering, platform operations, and production support.

Responsibilities

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.
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 DevOps, automation, CI/CD, testing, and deployment practices that improve engineering efficiency and quality.
Promote reusable components and standardized engineering practices across Enterprise Data.
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.
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 innovation, standardization, and continuous improvement.
Build and develop a high-performing data engineering organization focused on technical excellence and operational reliability.
Develop engineering capabilities through workforce planning, technical development, and strategic partner management.
Partner across Data, Technology, Information Security, and Enterprise Architecture to deliver integrated enterprise capabilities.
Align resources with the firm’s highest-priority initiatives while maintaining operational stability.
Attract, develop, and retain technical talent capable of modernizing and scaling enterprise data capabilities.

Requirements

10+ years of experience leading enterprise data engineering, platform engineering, technical data architecture, or technology organizations within financial services or similarly regulated industries.
Demonstrated experience designing and modernizing enterprise data platforms using cloud-based technologies.
Experience leading data engineering teams responsible for data pipelines, integrations, APIs, and production operations.
Strong knowledge of modern data architecture, cloud platforms, DevOps, automation, data integration, and enterprise engineering practices.
Experience leading internal engineering teams and strategic technology partners, including vendor and delivery management.
Experience establishing engineering standards, operational metrics, service levels, and service management practices.
Proven ability to influence senior Business and Technology leaders and solve complex technical challenges.
Ability to balance business priorities, technology investments, operational risk, and long-term platform sustainability.
Financial services industry experience preferred.

Skills

Data Engineering
Platform Engineering
Technical Data Architecture
Cloud Technologies
DevOps
Automation
Data Integration
Enterprise Engineering Practices
Vendor Management
Delivery Management
Service Management

Experience Level

10+ years

Education Level

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; advanced degree preferred.

Benefits

Paid Parental Leave
Generous Paid Time Off
Eligibility for a $2,000 referral bonus
Employee Ownership
Professional Development Assistance Plan

About the Company

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.
Fostering a positive workplace experience remains a top priority.
People are our strongest asset.
We recognize that when our team members thrive, our firm is more successful.

Equal Opportunity

Janney is an equal opportunity employer and makes employment decisions on the basis of merit and business needs.