IT Manager Big Data Engineering
Company: Penske Truck Leasing
Location: Reading
Posted on: October 11, 2024
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Job Description:
OPPORTUNITY SNAPSHOT: As the Manager of Data Engineering for
Penske Truck Leasing, you'll be in a high-impact role. You will be
responsible for leading and managing many Data Engineering, Data
Architecture, and Data Warehousing initiatives for Penske. Apart
from managing the day-to-day operations of the Data Engineering
team, you will also lead the deployment of Data Engineering
applications and architecture across the enterprise. As this is a
critical role you will have the opportunity to deliver the next
generation of data engineering solutions for Penske business groups
while making an impact on the top and bottom line. You will be
working very closely with Finance, Marketing, Maintenance, Pricing,
HR, Leasing, Rental and Logistics business groups. In this role,
you will lead a team of Data architects, analysts, data modelers,
and programmers. You will be working closely with Enterprise
Architects, Cloud Engineering, the Data Platform team, Platform
services, and Network/Security groups. This position will report to
the Senior Manager - BI and Data Engineering. POSITION SUMMARY The
Manager of Data Engineering will lead the identification and
deployment of the most efficient and effective mechanisms for data
acquisition, integration, and delivery. You will also develop best
practices for data definition, aggregation, and data life cycle
management. In this role, you will deliver fit-for-use data
delivery and data consumption mechanisms. You will be involved in
technology selection, building, testing, deployment, support, and
documentation of the data delivery infrastructure solutions. You
will also lead many Data Engineering initiatives for the
enterprise. MAJOR RESPONSIBILITIES Manage Data & Architecture for
the enterprise needs. Data Processing (sourcing, acquisition,
integration, aggregation) and Data warehousing Participate in Data
Management & Governance practice. Support BI & Advanced Analytics
Initiatives. Support Self Service BI & AI platforms. Finding ways
to leverage existing enterprise data and information in the
company's products and services. Support Enterprise / Corporate
Performance Management initiatives. Management of strategies,
goals, objectives, metrics, KPIs/KPMs, and optionally, enterprise
scorecards Support GRC (Governance, Risk, Compliance) aspects of
data management. Production and business support The Manager of
Data Engineering will lead her/his teams by executing a vision for
the delivery of information and analytics solutions to the key
business stakeholders, including, internal staff, partners, and
clients. This position will help transform the company into a
business that truly differentiates and competes in data and
analytics. Other duties as assigned. QUALIFICATIONS A minimum of 12
years of progressively responsible experience in Data Warehousing,
Information Management, or a directly related area, during which
both professional and management capabilities have been
demonstrated. 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 Avro, Parquet, etc. Experience
with data and analytics in one 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.
Willingness to travel as necessary, work the required schedule, and
work at the specific location required. Completed Penske employment
application, submission to a background investigation (to include
past employment, education, and criminal history), and drug
screening are required. Physical Requirements: -The physical and
mental demands described here are representative of those that must
be met by an associate to successfully perform the essential
functions of this job. Reasonable accommodations may be made to
enable individuals with disabilities to perform the essential
functions. -The associate will be required to: read; communicate
verbally and/or in written form; remember and analyze certain
information; and remember and understand certain instructions or
guidelines. -While performing the duties of this job, the associate
may be required to stand, walk, and sit. The associate is
frequently required to use hands to touch, handle, and feel, and to
reach with hands and arms. The associate must be able to
occasionally lift and/or move up to 25lbs/12kg. -Specific vision
abilities required by this job include close vision, distance
vision, peripheral vision, depth perception and the ability to
adjust focus. Penske is an Equal Opportunity Employer. About Penske
Truck Leasing Penske Truck Leasing Co., L.P., headquartered in
Reading, Pennsylvania, is a partnership of Penske Corporation,
Penske Automotive Group and Mitsui & Co., Ltd. A leading global
transportation services provider, Penske operates a premier fleet
of vehicles and serves its customers from locations in North
America, South America, Europe, Australia, and Asia. Penske's
product lines include full-service truck leasing, contract
maintenance, commercial and consumer truck rentals, used truck
sales, transportation and warehousing management and supply chain
management solutions. Visit www.GoPenske.com to learn more Job
Category: Information Technology Job Family: Information Technology
Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer:
Penske Truck Leasing Co., L.P. Req ID: 2408275 --s-p-m1-- By
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Keywords: Penske Truck Leasing, Philadelphia , IT Manager Big Data Engineering, Executive , Reading, Pennsylvania
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