We’re looking for a Director of FP&A Digitization to accelerate Finance’s transformation through modern data architecture, automation, and enterprise AI. This leader will sit at the intersection of Finance, Engineering, and Product—owning the platforms, data foundations, and AI capabilities that future‑proof how FP&A plans, forecasts, and drives decisions across the company.
This role is ideal for someone who blends financial acumen with technical depth, enjoys building from zero‑to‑one, and thrives in a fast‑moving, iterative environment.
What you'll do:
- Define and execute the AI strategy for FP&A, converting generative BI, text‑to‑SQL, RAG, and document intelligence into real business impact. Identify the highest‑value use cases and turn proof‑of‑concepts into scaled, production‑ready tools.
- Own Finance’s AI & data products end‑to‑end—requirements, UX/UI, testing, release cadence, and roadmap. Build enterprise document intelligence platforms and semantic data services that enable Finance to operate with speed, automation, and confidence.
- Lead the design and governance of the semantic layer that allows LLMs and BI tools to safely interact with financial data. Ensure accuracy, lineage, and business‑logic integrity across thousands of data objects.
- Drive MDM strategy for critical Finance domains. Maintain high‑accuracy data environments that underpin forecasting, product analytics, revenue modeling, and enterprise reporting.
- Partner with FP&A leadership to modernize planning, reporting, and modeling systems. Lead platform migrations on behalf of FP&A (e.g., Costpoint → Oracle or Vena → Anaplan), streamline workflows, and drive adoption across large user communities.
- Run a cross‑functional delivery engine across Finance, Accounting, IT, and PX and Rev Ops. Manage intake, prioritization, and execution for a portfolio of analytics and AI initiatives—balancing innovation with operational reliability.
- Chair Finance’s Data Governance Council, establishing standards for quality, definitions, access, and usage. Create the trust framework that enables Finance to proactively manage systems and data changes without interrupting key data workflows and adopt AI safely at scale.
- Build and scale high‑performing technical Finance teams—including data engineering, analytics, systems, and AI product contributors. Shape operating rhythm, delivery processes, and long‑term capability development.
Required qualifications:
- 12+ years in Finance technology, FP&A systems, data engineering, analytics, or AI—preferably in tech or high‑growth environments.
- Strong experience building and deploying generative AI solutions, RAG pipelines, semantic layers, and data governance frameworks.
- Proven ability to translate Finance problems into technical architectures and production‑grade products.
- Track record of leading cross‑functional teams (10–20+ people) and overseeing multi‑million‑dollar portfolios.
- Comfortable operating as a hybrid Finance + Product + Data leader.
- Executive‑level communication skills and experience presenting strategy to CFO‑staff.
- Advanced SQL; working Python; hands‑on familiarity with Snowflake, Databricks, ThoughtSpot, Tableau, Anaplan, SAP S/4, and modern data governance tools.
- Education: M.S. Information & Data Science
- Core Expertise:
- Finance AI Strategy & Deployment · Generative BI & Text-to-SQL · RAG Application Development · Document
- Intelligence · Semantic Data Modeling · Financial Systems Transformation · Master Data Management · Data Governance & Lineage · GenAI Product Ownership · Executive Stakeholder Management
- Platforms & Tools:
- Databricks or Snowflake
- AI & LLMs: Snowflake Cortex Code · Claude Code · RAG Pipelines · Document Intelligence
- Data & Analytics: Snowflake · Databricks · ThoughtSpot · Tableau · Collibra
- Planning & Finance Systems: Anaplan · SAP S/4 · Hyperion · SFDC
- Languages & Dev: SQL (Advanced) · Python (Intermediate)
- Delivery & Operations: JIRA · ServiceNow · Tableau
How you work:
- You think in systems—architecting scalable foundations rather than one‑off tools.
- You a strong track record of implementing scalable best practices.
- You communicate simply around complex concepts and build trust through transparency and data quality.
- You’re iterative: ship fast, learn fast, and refine with users.
- You enjoy solving ambiguous, cross‑functional problems with a product mindset.
- You elevate Finance by making technology accessible, reliable, and impactful for every user.
Skills Required
- 12+ years in Finance technology, FP&A systems, data engineering, analytics, or AI
- Strong experience building and deploying generative AI solutions, RAG pipelines, semantic layers, and data governance frameworks
- Proven ability to translate Finance problems into technical architectures and production-grade products
- Track record of leading cross-functional teams (10-20+ people) and overseeing multi-million-dollar portfolios
- Comfortable operating as a hybrid Finance + Product + Data leader
- Executive-level communication skills and experience presenting strategy to CFO-staff
- Advanced SQL
- Working Python (intermediate)
- Hands-on familiarity with Snowflake, Databricks, ThoughtSpot, Tableau, Anaplan, SAP S/4, Hyperion, and modern data governance tools (e.g., Collibra)
- Experience with LLMs, generative BI, text-to-SQL, document intelligence, and RAG application development
- Experience owning product lifecycle for data/AI products: requirements, UX, testing, release cadence, and roadmap
- Education: M.S. Information & Data Science
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
