Data Analytics, Product Lifecycle Operations

Job description

Job responsibilities

• 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…
• Partner cross-functionally to deeply understand tools, taxonomies, and ontologies. Build relationships with Corporate Planning & Operations, Revenue Operations, Corporate Technology, and Data Engineering & Platform…
• Build custom dashboards and analytical tools. Design, construct, validate, and roll out tailored dashboards for divisional product teams and senior leadership.
• Leverage both technical and operational data to drive business outcomes. Transform raw data into actionable insights for product teams and executive leadership alike.
• 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.

Job requirements

• 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.