Penske Logistics - Reading, PA

posted 4 months ago

Full-time - Manager
Reading, PA
Professional, Scientific, and Technical Services

About the position

As the Manager of Data Engineering for Penske Truck Leasing, you will play a pivotal role in leading and managing various Data Engineering, Data Architecture, and Data Warehousing initiatives. This high-impact position involves overseeing the daily operations of the Data Engineering team while also spearheading the deployment of Data Engineering applications and architecture across the enterprise. You will have the opportunity to deliver next-generation data engineering solutions that significantly impact both the top and bottom lines of the business. Your collaboration will extend across multiple business groups, including Finance, Marketing, Maintenance, Pricing, HR, Leasing, Rental, and Logistics. In this role, you will lead a team comprising Data Architects, Analysts, Data Modelers, and Programmers. You will work closely with Enterprise Architects, Cloud Engineering, the Data Platform team, Platform Services, and Network/Security groups. Your responsibilities will include identifying and deploying the most efficient mechanisms for data acquisition, integration, and delivery, as well as developing best practices for data definition, aggregation, and lifecycle management. You will be involved in technology selection, building, testing, deployment, support, and documentation of data delivery infrastructure solutions, ensuring that the data delivery and consumption mechanisms are fit for use. Your leadership will be crucial in executing a vision for delivering information and analytics solutions to key business stakeholders, including internal staff, partners, and clients. This position is essential for transforming Penske into a business that differentiates itself through data and analytics. You will also support various initiatives, including Business Intelligence (BI) and Advanced Analytics, and contribute to the Governance, Risk, and Compliance (GRC) aspects of data management. Other duties may be assigned as necessary.

Responsibilities

  • Manage Data & Architecture for the enterprise needs.
  • Oversee Data Processing (sourcing, acquisition, integration, aggregation) and Data warehousing.
  • Participate in Data Management & Governance practices.
  • Support BI & Advanced Analytics initiatives.
  • Facilitate Self Service BI & AI platforms.
  • Leverage existing enterprise data and information in the company's products and services.
  • Support Enterprise / Corporate Performance Management initiatives.
  • Manage strategies, goals, objectives, metrics, KPIs/KPMs, and optionally, enterprise scorecards.
  • Support GRC (Governance, Risk, Compliance) aspects of data management.
  • Lead teams in executing a vision for delivering information and analytics solutions to key business stakeholders.

Requirements

  • A minimum of 12 years of progressively responsible experience in Data Warehousing, Information Management, or a directly related area.
  • A degree in computer science, mathematics, engineering, operations, management, or a related field is required.
  • Minimum five plus years of experience as a leader of a data team in the organization.
  • Significant knowledge of functional areas - IOT, Transportation, Finance, Maintenance, Marketing, and HR related to the Leasing & Logistics industry is a big plus.
  • Experience in supporting a wide range of data & analytics initiatives across the company and closely associated with BI & Advanced analytics teams.
  • Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks.
  • Experience in multidimensional data modeling, logical, physical, and star schemas, snowflakes, and de-normalized models.
  • Experience in handling Big Data, IOT Data, and specifically a variety of Big Data file formats such as Avro, Parquet, etc.
  • Experience with data and analytics in cloud platforms like AWS, GCP, Azure.
  • Experience in Data Engineering tools such as Talend, SAP BODS, Python, PySpark, AWS S3, Glue, Athena, EMR, Kafka or similar tools.
  • Exposure to BI & analytics tools such as Qlik Sense, Sagemaker, SAS Viya, and Dataiku.
  • Experience in handling purposeful database platforms that include Relational, Key-Value, In-Memory, Document, Time series, and Geospatial data stores.
  • Experience with agile software development.
  • Experience with business-driven / self-service BI / Self Service AI.
  • A solid understanding of data security and privacy technologies.
  • A solid understanding of mobile delivery architecture and best practices.
  • Experience with data science, statistical analysis, data mining, and predictive algorithms to support advanced/predictive analytics.
  • Extensive experience interacting with senior leaders and executives.
  • Excellent written and verbal communication skills.
  • Excellent presentation, storytelling, interpersonal, and leadership skills.
  • Experience managing large complex Data Engineering projects and teams across different time zones.
  • Experience in building and supporting Data Engineering/analytics business cases.
  • Proven ability to complete projects and achieve results in an ambiguous work environment.
  • Proven ability to build and motivate a team to achieve the milestones.
  • Knowledge of ITIL concepts and practices.

Nice-to-haves

  • Experience in the Leasing & Logistics industry.
  • Familiarity with advanced analytics tools and methodologies.

Benefits

  • Health insurance coverage.
  • 401k retirement savings plan.
  • Paid holidays and vacation time.
  • Professional development opportunities.
  • Flexible scheduling options.
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