Apply on Kit Job: kitjob.in/job/47b54u

Job Description

n

We 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.

n

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.

n

Required Skills & Experience

n

- 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
- Solid 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 operate

n

Nice to Have Skills & Experience

n

- 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

Apply on Kit Job: kitjob.in/job/47b54u

📌 Intelligence & Analytics Manager (Pune)
🏢 Insight Global
📍 Pune