BAE Systems

Ops Research Anst Prin

BAE Systems$100K — $130K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent with 6+ years of relevant experience.
  • Proficient in AGILE and Waterfall project planning with tools like Microsoft Project.
  • Ability to translate complex data into actionable insights.
  • Experience providing guidance to teams on tasks and performance goals for over 5 years.
  • Proficiency with data analysis tools such as Power BI, MATLAB/Simulink, AWS/AWS Redshift, and SQL.

Responsibilities

  • Design, build, and maintain data infrastructure for accurate data accessibility.
  • Provide leadership in data governance practices and enterprise data strategies.
  • Plan and execute performance monitoring of data projects, ensuring efficient status reporting.
  • Build analytic systems and develop predictive models for business insights.
  • Manage a team of data professionals including data scientists and analysts for optimal project outcomes.
  • Optimize data strategies and innovate operational approaches to meet business needs.
  • Collaborate with stakeholders to ensure data systems are secure and meet access requirements.

Benefits

  • Flexible work schedule with a 9/80 format, offering every other Friday off.
  • Hybrid working environment promoting both on-site collaboration and remote flexibility.
  • Opportunity to work on impactful projects within a global defense company.
  • Supportive onboarding for new staff, fostering teamwork and continuity in projects.
  • Engagement in meaningful work that contributes to national security and technological advancements.
Full Job Description
Job Description

BAE Systems is seeking a Data and Analytics Team Lead to support our Combat Mission Systems (CMS) business. This role falls within our Digital Enterprise Directorate and will face multiple challenging projects while supporting our developing digital environment development and deployment to our business.

At BAE Systems, we believe in work-life balance. We work a 9/80 schedule with every other Friday off, and our hybrid approach provides plenty of on-site collaboration and support for new staff onboarding as well as the flexibility for working remotely some days.

As a Data and Analytics Team Lead, you will:
  • Work as part of a team designing, building, and maintaining our data infrastructure, ensuring accurate and timely data accessibility for teams and applications, often involving large datasets and complex systems.
  • Provide strategic vision, leadership and management of the data governance practices, design, architecture and implementation of enterprise data collection, storage, mining, visualization, analytics, integration, and interface strategies to improve systems, business, research and clinical capabilities.
  • Plan, execute and monitor performance of data projects including regular status reporting, cost and schedule responsibilities and risk management.
  • Build analytic systems and predictive models.
  • Manage a team of data scientists, business analysts, architects and data modelers.
  • Optimize data strategies and find innovative ways to use data operations best to meet business needs.
  • Ask strategic questions reflecting an understanding of a business problem and crafting how data models can help accordingly.
  • Manage data systems and ensuring information accuracy to support business operations and requirements.
  • Work with customers, business partners and stakeholders to maintain all of the database's safety and security to prevent unauthorized access and potential leak of confidential and/or secure data.
  • Hands on development of models, business requirements, governance documentation and visualizations.
  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines.
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights.
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.
  • Ensure the accuracy, consistency, and reliability of data, implementing data validation and quality control processes.
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source Of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWS Cloud Environments through data transformation within Power BI.
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process.


Required Skills and Education

  • Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent with 6+ years of relevant experience.
  • Proficient in both AGILE and Waterfall project planning and execution and experience using project planning tools such as Microsoft Project.
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proven ability to work within teams in which your contributions are critical to success.
  • 5+ years of experience providing direct guidance to staff on program tasks and direction, performance feedback and improvement goals.
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Dataiku, Oracle, SQL.


This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Preferred Skills and Education

  • Master's Degree in mathematics, statistics, business, engineering, physical/applied sciences, or management discipline (business administration, accounting, finance, economics or management information technology) and 10 or more years of relevant work experience.
  • Experience with structured problem solving techniques.
  • Knowledge of technical requirements and systems relevant to Combat Vehicles.
  • Experience working with development teams.
  • Knowledge of metrics related to Agile and use of them to report back to team members at all levels.
  • Scrum / Agile management.
  • In-depth knowledge of Engineering, Supply Chain and Manufacturing environments. #LI-Hybrid #LI-JR1

About BAE Systems

BAE Systems plc is a British multinational arms, security, and aerospace company. It is among the world's largest defense contractors, with over 85,000 employees and operations in over 40 countries. BAE Systems is involved in the design, development, and manufacture of a wide range of products and services, including military aircraft, naval ships, and land vehicles. The company also provides a range of cybersecurity and intelligence services. BAE Systems has a long history, dating back to the 19th century, and has been involved in many major defense projects. Visit baesystems.com for more information.
Learn more about BAE Systems
Size
90,500 employees
Industry
Founded
1997
NASDAQ

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