Data Analytics, Product Lifecycle Operations

Anduril • Costa Mesa, CA

5d

About The Position

The Product Lifecycle Operations team connects business priorities with product delivery across Finance, Growth, Supply Chain, Engineering, Manufacturing, Deployments, and Sustainment. It drives production readiness into upstream business decisions, partners with senior leaders, and defines measurable outcomes for delivery readiness across the product lifecycle.

The Data Analytics Lead will architect, build, and deploy operational tooling across a diverse product portfolio, serving as a bridge between the CEO Office and divisional product teams. The role develops analytics solutions tailored to individual teams while consolidating disparate datasets for executive reporting. It translates operational questions into metrics, dashboards, and analyses that support executive decisions, identifies data blind spots and opportunities, and improves data integrity. Success requires business and technical acumen, thoughtful system design, cross-functional partnership, and a preference for quickly adopting practical solutions that can be improved over time.

The role owns a technical roadmap from conception through delivery and sustainment, connecting enterprise systems and collaboration tools to create a cohesive source of truth. It gathers feedback from end users, partners across the company to understand systems and data structures, builds custom dashboards and analytical tools, and combines technical and operational data to improve product maturity, operational velocity, and revenue realization. Solutions are initially delivered quickly, then iterated and formalized based on stakeholder feedback. Documentation and knowledge transfer ensure that decisions, dependencies, and assumptions remain accessible and durable.

Requirements

• At least 6 years of experience in data analytics, software engineering, management information systems, or a similar field.
• Direct coding experience using Python, SQL, React, TypeScript, or similar technologies.
• Deep understanding of data-stack tools such as Palantir Foundry or Databricks.
• Direct experience owning, leading, and driving adoption of user-facing applications and associated processes.
• Proven track record of using technical data to solve business problems.
• Demonstrated technical autonomy from roadmap definition through solution rollout and sustainment.
• Ability to execute operationally while also thinking strategically.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Nice To Haves

• Experience connecting data across business, engineering, and manufacturing environments, including CRM, ERP, PLM, or MES systems.
• Experience building end-to-end data pipelines, ontologies, and applications in Palantir Foundry or Databricks.

Responsibilities

• Own the technical roadmap from conception through delivery and sustainment.
• Architect and drive a roadmap connecting core enterprise systems such as ERP, PLM, and MES with collaboration tools such as Jira and Airtable to provide a cohesive single source of truth.
• Incorporate end-user feedback and evolving requirements from ideation through adoption.
• Serve as a thought partner to team leads on data opportunities and systematic improvements that scale and future-proof processes.
• Build relationships with Corporate Planning & Operations, Revenue Operations, Corporate Technology, and Data Engineering & Platform teams to understand tools, taxonomies, and ontologies.
• Collaborate cross-functionally to develop applications that create coherence across the technology stack.
• Design, construct, validate, and roll out tailored dashboards and analytical tools for divisional product teams and senior leadership.
• Use each divisional product team’s existing business rhythms and data sources to address pain points while sustaining best practices.
• Transform raw technical and operational data into actionable insights for product teams and executive leadership.
• Bring together data streams across Growth, Engineering, Manufacturing, Supply Chain, and other functions to drive measurable outcomes for product maturity, operational velocity, and revenue realization.
• Deliver initial solutions quickly, gather stakeholder feedback across multiple cycles, and formalize and optimize solutions over time.
• Facilitate documentation and knowledge transfer so architecture decisions, dependencies, and assumptions remain accessible and durable.

Benefits

• Highly competitive equity grants are included in the majority of full-time offers.
• Top-tier benefits package available at little to no cost to employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed