Finance Data Engineering & Analytics Manager (R3348)

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. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.

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.

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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Finance Data Engineering & Analytics Manager (R3348)

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