IT Manager Big Data Engineering

Penske Automotive Group - Reading, PA

Full-time - Manager

Reading, PA

Truck Transportation

About the position

Catalyst AI™ is an industry-first platform that empowers customers to compare, diagnose, and manage their fleets through the application of data science and Penske's extensive business knowledge. This innovative technology enables customers to obtain apples-to-apples comparisons rather than relying on static, aggregated industry benchmarks. Penske is pioneering this solution by harnessing AI and machine learning, robust fleet data, and a unique perspective on maintenance. The technology not only streamlines the fleet benchmarking process but also provides actionable, data-driven recommendations tailored to each customer's specific needs. In this role, you will support Catalyst AI and future generations of the product. Working with a diverse team, you will lead the technical design of complex components that support our business-critical applications while mentoring other developers on best practices to deliver our next generation of innovative solutions to our customers. As the Manager of Big Data Applications, you will lead the team responsible for creating, managing, and supporting multiple data-intensive analytical applications developed on real-time streaming IoT data. The Big Data Applications team is tasked with creating and maintaining UI & Digital Data Products, which serve as critical value-generating portals for Penske's IoT data. You will collaborate closely with the Big Data Integration and Services, UX, Product Managers, Big Data Platform, and Cloud Engineering Teams to research and deploy the most efficient and scalable architecture for business-critical products. This role is pivotal as it allows you to influence and impact various strategic programs such as Connected Fleet, Vehicle Insights, and the Maintenance vision. The rewards of this role include the opportunity to make a significant impact on strategic and business-critical programs for Penske, the pride of working with new and promising technologies, and the potential for career growth as we recognize and reward motivated individuals who develop their skills and perform well on the job. Your success in this role could lead to numerous advancement opportunities based on your interests and strengths.

Responsibilities

• Build, lead and inspire a team of top performing Front End and Big Data Engineers.
• Partner with UX design and product management to drive our innovation roadmap.
• Lead large, cross-functional teams on complex A/B tests and product development efforts.
• Work closely with our web platform and API teams to define and evolve the underlying systems that support your projects and drive the ongoing evolution of our web architecture.
• Contribute to requirements gathering, architecture, design, and implementation of enterprise class user interface software to power our Digital Products.
• Create and deploy data services and applications for internal and external consumers of the IoT data.
• Lead the production support for all the Digital products and their apps.
• Work closely with various business functions - Marketing, Maintenance, Finance, Fleet Services, Rental, Vehicle Supply etc. to leverage existing IoT data to support creation of new digital products and services.
• Support GRC (Governance, Risk, Compliance) aspects of IoT data including data security, data ownership, data filtering and risk profiling initiatives.
• Maintain the UI/UX - Big Data roadmap from technology perspective.
• Execute on the IoT/Digital Products vision for the company.

Requirements

• A minimum of 10 years of progressively responsible experience in Information Technology during which both professional and management capabilities have been clearly demonstrated.
• A degree in computer science, mathematics, engineering, operations, management, or a related field is required; a master's degree is preferred.
• Critical experience and skills in visual design, UX design, research, and micro-interactions, with an understanding of the constraints of front-end coding.
• An understanding of efficient UI design patterns across web and mobile platforms.
• Extensive expertise in technologies, frameworks, and architecture like Angular, Java, Spring, Spring Boot, XML, JSON, Application Servers, CI/CD, etc.
• Expertise in Python, Lambda architecture, Kafka, MySQL, PostgreSQL, In Memory databases, AWS, Cloud Engineering, Cloud Essentials, Spring Cloud Data Flow is a significant plus.
• Significant knowledge of areas - Data Visualization, Big Data, Streaming Data, Micro Services, and Cloud is a big plus.
• Extensive expertise in data definition, data profiling, and data quality.
• Experience and understanding of a wide variety of analytical processes.
• Experience with agile software development.
• A solid understanding of data security and privacy technologies and processes.
• A solid understanding of key UI/UX & Big Data trends and Frameworks.
• Extensive experience interacting with senior leaders and executives.
• Excellent written and verbal communication skills.
• Excellent presentation skills - must be able to present to large groups.
• Experience managing large complex IT projects and teams.
• Experience in building and supporting business cases.
• Proven ability to complete projects and achieve results in an ambiguous work environment.
• Proven strong leadership skills within the project team and in the business community.
• Proven ability to build and motivate a team to achieve well communicated expectations.
• Proven skills to work effectively across internal functional areas in ambiguous situations.
• Knowledge of ITIL concepts and practices.
• Must be a team player with a Team First attitude.

Nice-to-haves

• Experience with cloud-native applications and architectures.
• Familiarity with IoT technologies and their applications in fleet management.
• Experience in mentoring and developing junior team members.

Benefits

• Career growth opportunities within the organization.
• Access to new and promising technologies.
• A supportive work environment that values innovation.