Job Title

Job Description Our client is looking for a senior leader to own and scale their Engineering Intelligence function u2014 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 8-12+ years of experience in engineering analytics, business intelligence, data engineering, or engineering operations/effectiveness u2014 ideally in a enterprise software environment u2003u2022 Proven track record of building and scaling analytics functions or BI platforms from early stage to enterprise adoption u2003u2022 Deep expertise with Looker / BI tools including data modeling, dashboard design, and performance optimization u2003u2022 Strong technical skills: SQL (advanced), Python for data engineering, REST API integration, and ETL/ELT pipeline design u2003u2022 Experience with engineering metrics frameworks (DORA, SPACE, or custom) and the ability to design measurement systems that balance quantitative rigor with organizational context u2003u2022 Demonstrated ability to present data-driven insights to VP/C-level audiences and translate complex metrics into actionable business narratives u2003u2022 Experience managing vendor relationships and tool ecosystems at scale u2003u2022 Strong understanding of software delivery lifecycle, Agile methodologies, and how engineering organizations operate u2022 Experience with Jira (including Structure, Advanced Roadmaps) and Jellyfish or similar engineering management platforms u2003u2022 Familiarity with Salesforce data and the ability to connect customer/case data and revenue related data to engineering delivery metrics u2003u2022 Experience building data pipelines on cloud platforms (GCP) with tools like BigQuery u2003u2022 Background in engineering operations, developer experience, or engineering effectiveness u2014 not just pure data science