Summer Associate Graduate Intern (Operational Technologies)

You have goals, dreams, hobbies and things you’re passionate about.

We’re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen.

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Operational Technologies is a team within the Service Transition branch of NFCU’s Information Services Department (ISD). The Service Transition branch focuses upon the processes that comprise the Service Transition stage of the ITIL Services Lifecycle. We ensure that changes to IT services are appropriately managed, from the initial strategy, through design, development, testing and deployment. 

The Operational Technologies team's primary responsibility is working with IT, industrial internet of things (OT) and operational technology teams to lead technology driven business process transformation and innovation for NFCU. They will partner with IT, Risk, Security and Audit teams to establish operational compliance that streamlines operations while protecting the organization. Team members possess industry and technology acumen, are familiar with business systems (IT), plant operations environment (OT), Cyber Security, Network Security, and the ability to connect these domains to form the enterprise solutions approach. 

The Summer Associate Graduate Intern Program is a 10+ week graduate internship program beginning in May 2023 and ending in August 2023. The intention of this program is to hire graduate interns who prove their aptitude into full time roles following graduation. To qualify for this position, applicants must be currently pursuing a graduate or PhD level degree from an accredited college or university with an anticipated graduation date of December 2023 or later.

OT Data Analyst/Scientist must understand the differences in the processing and management of data on the edge, where OT happens, versus traditional infrastructure. 

1.   Provide a developmental plan of predictive analytics for OT devices through data ingested by the OT software – the analytics should provide a way of identifying potential problems with the environment or equipment minimizing issues 

2.   Create customized reporting from data collected from the OT software tool and provide a way to automate/schedule reporting

3.   Collaborate with ServiceNow to ensure data ingestion is migrating into ServiceNow accurately; resolve all discrepancies

4.   Support projects that are entering and moving through the Software Development Lifecycle (SDLC) in preparation for deployment to our production environment

5.   Represent Operational Technology Management on various enterprise governance boards, as needed for assuring requirements are addressed in updates to existing enterprise environment, policies/standards, and projects

1.   Develop analytics for use by the Operational Technology Management and dissemination to other ISD teams for strategic decisions

2.   Support projects that are entering and moving through the Software Development Lifecycle (SDLC) in preparation for deployment to our production environment

3.   Assist with internal projects that may include teaching, documenting, or automating processes relevant to Operational Technology Management

4.   Represent Operational Technology Management on various enterprise governance boards, as needed for assuring requirements are addressed in updates to existing enterprise environment, policies/standards, and projects

5.   Support other teams within the Service Transition umbrella

•   The skills an OT Data Analyst/Scientists must have: All Data Analyst/Scientists should be well-versed in machine learning and deep learning, but OT Data Analyst/Scientists also require different skills from traditional Data Scientists.

    o   Identifies relevant data sets needed for data analytic applications

    o   Works with others to collect, integrate and prepare data for analysis

    o   Develops and runs analytical models and assess the findings

    o   Communicates the results to business owners, users and others as needed

•   Preprocessing of data: Data doesn't flow out of OT in tidy, well-formatted records, as it does in conventional systems. OT data is often sparse or incomplete, subject to the whims of the environment and the state of the machine producing it and it varies under changing conditions. The data is frequently temporal and time sensitive. OT Data Analyst/Scientists can apply deep learning to spot conditional shifts in data patterns, make predictive assessments of data quality and fill in the gaps as needed.

•   Sensor fusion: Increasingly, the state of a machine or a process depends on many OT sensor inputs. The challenge is to integrate the data from disparate devices meaningfully to boost the quality and mitigate the uncertainty of individual results. OT often must Data Analyst/Scientists customize data integration, which requires specialized methodology to achieve and validate.

•   Real-time processes: Another major consideration is the need to aggregate and correlate OT data for real-time processes. OT data is often unstructured and must be tagged and correctly synchronized in real time for proper use because time windows fluctuate, and some applications require instantaneous best-guess corrections. OT Data Analyst/Scientists will analyze unstructured data.

•   An understanding of signal processing: Data streaming into enterprise processes via OT channels should be treated as a complex set of signals and switches all working together to produce a desired result. The timing and relative strength of the signals are crucial to making sense of the intelligence they can convey. OT Data Analyst/Scientists will apply competence with signal processing mathematics, as well as information theory, which are major advantages in making sense of OT data. 

•   Knowledge of gateway layers: Between the edge and the enterprise there should always be a gateway layer where security, routing and often data aggregation take place. A strong foundation in how this layer works is an essential element for the OT Data Analyst/Scientists to understand the configuration, hardware and software options available who will then match the handling of the data to the actual hardware.

•   Edge analytics: OT Data Analyst/Scientists should understand how edge analytics differs from cloud analytics because organizations increasingly require real-time response and low latency in OT applications. Cloud analytics is seldom time-sensitive and doesn't always require granular inputs, while OT analytics does.

•   Personal skills: OT Data Analyst/Scientists must be cross-disciplinary by nature and capable of multitasking. More than that, however, they should be curious and innovative, and willing to learn new things when the task requires it. It's also a plus if they work well with a wide range of people in other disciplines.

Experience: Total professional experience 5+ years of which Information Technology is 3+ years of experience

•   Currently pursuing a graduate degree in Information Systems, Applied Analytics, Data Science, or other related degree

•   Excellent communication skills

•   Self-starter / self-directed 

•   Understanding of general Information Technology concepts

•   Experience with business process definition and optimization 

•   Strong analytical skills with experience creating reports and analyses 

•   High level proficiency with Microsoft Office

•   Experienced in the fundamentals of Data Science

•   Experience with statistical analysis

•   Experience with machine learning and big data

•   Experience with data visualization

•   Experience programming with both scripting languages and 3GLs, such as C / C++, Java, C#, Python, etc.

•   Experience with data manipulation and analysis

•   Experience with process management and process automation tools, such as Pega

•   Experience with SQL, Reporting and Analytic tools

•   Experience with Applications Development, Infrastructure Management, and Operations Management

•   Understanding of ITIL and other control frameworks

•   Understanding of and experience with ServiceNow – ITBM / SM / CM / PM / IM / CMDB / RM

•   Understanding of Waterfall / Agile / DevOps / Site Reliability Engineering (SRE) approach to software development

•   Understanding of Software Development Lifecycle (SDLC) approaches

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: Remote | 820 Follin Lane, Vienna, VA 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602

Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report on-site 4-16 days each month. The number of days reporting on-site will ultimately be determined by the employee's leadership and business unit needs. You will learn more throughout the hiring and on boarding process.

Salary Range: $41.00 - $46.00 hourly

Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Within this range, pay will be determined based on factors such as individual qualifications, location, and market position.

Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability

All employees are expected to follow our COVID-19 safety protocols.

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position.

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.