Engineering Operations Manager

Role Overview

• **Jira Ownership & Governance: **Own end-to-end Jira configuration, designing and governing standardized workflows that perfectly align with our engineering operating model.
• **Dashboard Architecture: **Build, maintain, and own a suite of engineering KPI dashboards tracking DORA metrics, flow metrics, capacity, and portfolio visibility.
• **Delivery Health Tracking: **Develop and maintain a comprehensive "Delivery Health" dashboard to provide accurate, real-time insights into the status and forecasting of all engineering programs.
• **Leadership Partnership: **Partner closely with Engineering and Product leadership to define, standardize, and establish a single source of truth for actionable engineering metrics.
• AI Tooling Measurement: Track and measure the adoption, usage, and ROI of AI tools within the SDLC.
• Data Hygiene & Integrity: Establish data governance protocols to ensure rigorous reporting integrity and data hygiene across all engineering systems.
• Workflow Automation: Hands-on automation of data extraction and workflow processes to drastically reduce manual reporting efforts across the organization.
• Ecosystem Integration: Actively integrate tooling across the engineering ecosystem, heavily connecting Jira with Developer Experience (DX) platforms and future agentic solutions.
• Tool Evaluation & Optimization: Continuously evaluate, implement, and manage new engineering tools, providing measurable data on tool optimization and ROI to justify investments.
• **Visionary Execution: **operate between setting high-level tooling strategy and executing hands-on data transformations or system integrations.

Requirements

• Proven track record as a highly effective senior individual contributor (e.g., Engineering Operations, Data Analyst, Technical Program Manager) who is ready to step into a management/leadership role.
• Deep, hands-on administrative experience with Jira, including complex workflow design, automation rules, and cross-system integrations.
• Strong proficiency in building dashboards using modern BI tools or platform-native reporting (e.g., DX platforms, Tableau, PowerBI) to visualize DORA, flow, and delivery metrics.
• A thorough understanding of the Software Development Life Cycle (SDLC), engineering processes, and how data flows through a modern developer ecosystem.
• Practical understanding of modern AI coding assistants (GitHub Copilot, Claude) and a mindset geared toward measuring their impact on developer productivity.
• Technical capability to build data transformation pipelines, automate reporting workflows, and write scripts to connect APIs across disparate tools.
• Exceptional ability to translate complex engineering data into clear, trusted, and concise narratives for Senior Leadership, Executives, and the Board.
• Deep grasp of Agile methodologies and the specific metrics required to gauge program health and capacity in a scaling engineering org.
• Experience establishing data standards from scratch and a meticulous eye for identifying and correcting flawed data points.
• Advanced English (C1/C2)

Tech Stack

• SDLC
• Tableau

Benefits

• Udemy courses of your choice
• Team-buildings, events, marathons & charity activities to connect and recharge
• Workshops, trainings, expert knowledge-sharing that keep you growing
• Clear career path
• Absence days for work-life balance
• Flexible hours & work setup
• work from any of listed locations and organize your day your way