
Finance Data Engineering & Analytics Manager (R3348) - Shield AI
View Company Profile- Job Title
- Finance Data Engineering & Analytics Manager (R3348)
- Job Location
- San Diego Metro Area
- Job Description
- Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.Shield AI is seeking a Finance Data Engineering & Analytics Manager to join our Finance team. This pivotal role will drive the scaling of our data-driven decision-making processes, providing real-time insights that shape key financial and operational strategies. You will leverage advanced analytics, visualization tools, and financial modeling techniques to support strategic initiatives and enhance performance optimization.What you'll do:
- Lead the creation and implementation of a comprehensive data strategy to enhance data quality, governance, and accessibility across Finance.
- Utilize SQL, Python, and advanced Excel techniques to extract, transform, and analyze complex datasets.
- Design, implement, and maintain Microsoft Fabric data warehouse / lakehouse to consolidate and house key financial & operational data from disparate data sources across the organization to build a single source of truth.
- Automate data workflows and optimize extract, transform, and load processes to improve reporting efficiency and data integrity.
- Design, develop, and maintain Power BI dashboards and reports to provide real-time financial insights for key stakeholders.
- Partner with cross-functional teams, including FP&A, Accounting, and Program Finance to integrate financial data with broader business intelligence frameworks.
- Ensure alignment with company-wide data architecture and compliance with data governance standards in collaboration with IT and Engineering.
Required qualifications:- At least 5 years of experience in business intelligence, financial analytics, or data strategy roles
- Advanced proficiency in Power BI, SQL, and Excel (including Power Query and Power Pivot) for data visualization and analysis.
- ETL (Extract, Transform, Load) and data integration skills
· Familiarity with cloud platforms like Azure· Understanding of data modeling and database design principles· Advanced knowledge of data warehousing concepts· Ability to work with structured and unstructured data· Experience with data pipeline and workflow management tools- Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable business insights.
- Strong written and verbal communication skills, with the ability to present insights clearly to both technical and non-technical audiences.
- Strong knowledge of database systems and SQL
Preferred qualifications:- Experience in a software, defense technology or aerospace company.
- Deep knowledge of ERP / MRP systems like SAP or Deltek Costpoint and integration with BI tools.
- Experience working with Python and/or Microsoft Fabric for data management, analytics, and automation.
- Exposure to FP&A processes and strategic financial planning in high-growth or startup environments.
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Shield AI Company Size
Between 200 - 1,000 employees
Shield AI Founded Year
2015
Shield AI Total Amount Raised
$1,073,144,960
Shield AI Funding Rounds
View funding detailsDebt Financing
$200,000,000 USD
Series F
$300,000,000 USD
Series E
$60,000,000 USD
Series E
$90,000,000 USD
Debt Financing
$75,000,000 USD
Series D
$210,000,000 USD
Debt Financing
$20,000,000 USD
Series C
$70,000,000 USD
Series B
$25,000,000 USD
Series A
$10,000,000 USD
Series A
$10,500,000 USD
Seed
$2,049,999 USD
Angel
$595,000 USD