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Job Description
Overview
Operational Technologies (OT) is a team within the Service Transition branch of NFCU’s Information Services Department (ISD). The team’s primary responsibility is working with IT, industrial Internet of Things (IoT), and operational technology teams to lead technology driven business process transformation and innovation for Navy Federal Credit Union. We 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, and 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 Program is a 12-week internship program beginning in May 2024 and ending in August 2024. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2024 or later.
Potential Projects:
OT data analysts/scientists must understand the differences in the processing and management of data on the edge, where OT happens, versus traditional infrastructure.
Project (12-week plan):
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
Create customized reporting from data collected from the OT software tool and provide a way to automate/schedule reporting
Collaborate with ServiceNow to ensure data ingestion is migrating into ServiceNow accurately. Resolve all discrepancies
Represent OT Management on various enterprise governance boards, as needed to assure requirements are addressed in updates to existing enterprise environment, policies/standards, and projects
Project (12-week plan):
Develop analytics for use by the Operational Technology Management and dissemination to other ISD teams for strategic decisions
Assist with internal projects that may include teaching, documenting, or automating processes relevant to Operational Technology Management
Represent OT Management on various enterprise governance boards, as needed to assure requirements are addressed in updates to existing enterprise environment, policies/standards, and projects
Support other teams within the Service Transition umbrella
Responsibilities
The skills an OT data analyst/scientist must have: All data analysts/scientists should be well-versed in machine learning and deep learning, but OT data analysts/scientists also require different skills from traditional data scientists.
Identifies relevant data sets needed for data analytic applications
Works with others to collect, integrate, and prepare data for analysis
Develops and runs analytical models and assesses the findings
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 analysts/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 data analysts/scientists often must customize data integration, which requires a 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 analysts/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 analysts/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 analysts/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 analysts/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.
Qualifications
Experience: Total Professional Experience of 5+ years, of which Information Technology Experience is 3+ years and at least 1 year of OT/IoT Experience
Business Soft Skills:
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
Technical Skills Preferred (as many of the following):
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
Experience with SQL, Reporting, and Analytic tools
Experience with 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: 820 Follin Lane, Vienna, VA Heritage Oaks Dr Pensacola, FL Security Dr. Winchester, VA 22602
Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report onsite 4-16 days each month. The number of days reporting onsite will ultimately be determined by the employee’s leadership and business unit needs. You will learn more throughout the hiring and onboarding process.
About Us
You have goals, dreams, hobbies, and things you’re passionate about-what’s important to you is important to us. 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. Don’t take our word for it:
• Military Times 2022 Best for Vets Employers
• WayUp Top 100 Internship Programs
• Forbes 2022 The Best Employers for New Grads
• Fortune Best Workplaces for Women
• Fortune 100 Best Companies to Work For
• Computerworld Best Places to Work in IT
• Ripplematch Campus Forward Award – Excellence in Early Career Hiring
• Fortune Best Place to Work for Financial and Insurance Services
Equal Employment Opportunity: 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 EOE/AA/M/F/Veteran/Disability
Disclaimers: 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. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
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