Job Title

Job DescriptionWe are looking for a senior leader to own and scale their Engineering Intelligence function — a capability that transforms raw engineering and business data into strategic insights that drive executive decision-making across a $100M+ engineering investment portfolio spanning 1,800+ features. This is not a traditional BI or reporting role. You will be the voice of engineering data, translating complex delivery metrics into business narratives that shape portfolio prioritization, resource allocation, and organizational strategy.You will inherit a strong foundation: a suite of operational dashboards and analytics tools already built and gaining traction with leadership. Your mandate is to productize these, build real-time data infrastructure, and evolve from reactive reporting to proactive intelligence that anticipates risks, surfaces opportunities, and quantifies business impact.Required Skills & Experience• 8-12+ years of experience in engineering analytics, business intelligence, data engineering, or engineering operations/effectiveness — ideally in a enterprise software environment• Proven track record of building and scaling analytics functions or BI platforms from early stage to enterprise adoption• Deep expertise with Looker / BI tools including data modeling, dashboard design, and performance optimization• Strong technical skills: SQL (advanced), Python for data engineering, REST API integration, and ETL/ELT pipeline design• Experience with engineering metrics frameworks (DORA, SPACE, or custom) and the ability to design measurement systems that balance quantitative rigor with organizational context• Demonstrated ability to present data-driven insights to VP/C-level audiences and translate complex metrics into actionable business narratives• Experience managing vendor relationships and tool ecosystems at scale• Strong understanding of software delivery lifecycle, Agile methodologies, and how engineering organizations operateNice to Have Skills & Experience• Experience with Jira (including Structure, Advanced Roadmaps) and Jellyfish or similar engineering management platforms• Familiarity with Salesforce data and the ability to connect customer/case data and revenue related data to engineering delivery metrics• Experience building data pipelines on cloud platforms (GCP) with tools like BigQuery• Background in engineering operations, developer experience, or engineering effectiveness — not just pure data science