Data Analytics, Product Lifecycle Operations
Anduril Industries is hiring a Data Analytics, Product Lifecycle Operations. It pays $145k-$190k a year and Level rates it ; you can apply on Anduril Industries.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks and computer vision among its tools and skills.
- Level classes it as a senior role.
- Anduril Industries has 2,500+ other open roles on Level.
- Posted in the last few days.
AI in this role
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The Product Lifecycle Operations team acts as the connective tissue between business priorities and product delivery, aligning the outputs of Finance, Growth, Supply Chain, Engineering, Manufacturing, Deployments, and Sustainment to paint a comprehensive picture of product maturity across the company.
We own and drive the strategy to pull production readiness into upstream business decisions, partnering with senior leaders to execute, iterate, and improve as we cross-pollinate to all functions and divisions. We work closely with both technical and non-technical stakeholders to define what good looks like throughout the entire product lifecycle and target measurable outcomes that reflect true delivery readiness.
This team is for those who view ambiguity as a gift, are not afraid to tackle complex problems, have a strong bias toward action, and are able to quickly filter through the noise to identify and execute against the signal. We move fast and deliver thoughtfully, building and iterating as we go.
ABOUT THE JOB
We are looking for a data analytics lead to architect, build, and deploy critical operational tooling across our diverse portfolio.
In this role, you will function as the bridge between the CEO Office and the divisional product teams designing, building, and deploying both hardware and software across the business. You will develop tailored analytics solutions for each product team that also provide a consolidated view of their disparate datasets for centralized executive reporting. You will not just visualize existing data - you will weaponize it to diagnose critical blind spots, identify opportunities for connection, and drive systematic data integrity. You will translate operational questions into metrics, dashboards, and analyses that inform executive decision-making.
The ideal candidate will have a mix of both business and technical acumen, with a strong focus on thoughtful system design in high visibility, heavily cross-functional environments. Prioritization of scrappy, easily adoptable solutions with an actionable roadmap for improvement over flawless, fully baked system architecture is a critical success factor.
WHAT YOU’LL DO
- Own the technical roadmap from conception through delivery to sustainment. Architect and drive the completion of the roadmap that connects core enterprise systems (ERP, PLM, MES, etc.) with tactical collaboration tools (Jira, Airtable, etc.) to provide a cohesive single source of truth. From ideation through adoption, incorporate feedback from end users and evolving requirements. Serve as a key thought partner to other leads across the team on data unlocks and systematic improvements that would future-proof and scale current processes.
- Partner cross-functionally to deeply understand tools, taxonomies, and ontologies. Build relationships with Corporate Planning & Operations, Revenue Operations, Corporate Technology, and Data Engineering & Platform teams to deeply understand tools, taxonomies, and ontologies. Collaborate cross-functionally to develop applications that create coherence across the tech stack.
- Build custom dashboards and analytical tools. Design, construct, validate, and roll out tailored dashboards for divisional product teams and senior leadership. Leverage each divisional product team’s existing business rhythm and data sources to build solutions that address their pain points while sustaining their best practices.
- Leverage both technical and operational data to drive business outcomes. Transform raw data into actionable insights for product teams and executive leadership alike. Pull together disparate data streams across Growth, Engineering, Manufacturing, Supply Chain, and more to drive measurable outcomes for product maturity, operational velocity, and revenue realization.
- Create and iterate on solutions that last. Start by being scrappy to deliver quickly, collect stakeholder feedback across multiple cycles, then formalize and optimize over time. Facilitate documentation and knowledge transfer so architecture decisions, dependencies, and assumptions remain accessible and durable.
REQUIRED QUALIFICATIONS
- 6+ years of experience in data analytics, software engineering, management information systems, or similar.
- Direct coding experience, using Python, SQL, React, TypeScript, or similar.
- Deep understanding of data stack tools like Palantir Foundry or Databricks.
- Direct experience owning, leading, and driving adoption of user-facing applications and associated processes.
- Proven track record of leveraging technical data to solve business problems.
- Demonstrated technical autonomy from roadmap definition to solution rollout and sustainment.
- Proven ability to execute operationally while also being able to step back and think strategically.
- Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
- Experience connecting data across business, engineering, and manufacturing environments (CRM, ERP, PLM, MES, etc).
- Experience building end-to-end data pipelines, ontologies, and applications in Palantir Foundry or Databricks.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
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No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
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Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
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What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
How we rate this
Data Analytics, Product Lifecycle Operations at Anduril Industries rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
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- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Walk me through how you've used Databricks in your day-to-day work.
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- List these exact terms on your resume: Computer vision and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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