Company
Technology
TechnicalOperationalManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Technical Operational Manager. Skills: Engineering execution system, Insights system, Jira Cloud administration, Jellyfish analysis. Design engineering execution system. Operate engineering execution system”
Industry & Context.
Analytical thinking; Root cause analysis
What They're Looking For.
Must Have
5+ years Engineering Operations, 5+ years Program Management, 5+ years data-intensive engineering roles, Expert-level Jira Cloud administration, Working knowledge of Jellyfish, Deep understanding of Agile delivery metrics, Deep understanding of engineering performance indicators, Ability to design structured engineering data systems, Ability to manage structured engineering data systems, Ability to design reporting frameworks, Ability to manage reporting frameworks, Experience using AI tools, Experience using LLMs, Analytical thinking, Ability to influence cross-functional stakeholders, Familiarity with SDLC, Familiarity with Scrum, Familiarity with SAFe
Nice to Have
Basic scripting experience, Integration experience using Python, Integration experience using JavaScript, Scaled Agile frameworks experience
What You'll Do.
Design engineering execution system
Operate engineering execution system
Design insights system
Operate insights system
Ensure accurate engineering data
Ensure scalable engineering data
Ensure actionable engineering data
Configure scalable engineering workflows
Maintain scalable engineering workflows
Configure issue structures
Maintain issue structures
Configure automation rules
Maintain automation rules
Map engineering work data
Ensure accurate product allocation
Ensure accurate engineering allocation
Standardize issue taxonomy
Standardize workflows
Standardize data governance
Build automation systems
Maintain automation systems
Develop engineering metrics dashboards
Deliver engineering metrics dashboards
Partner with finance teams
Partner with leadership teams
Support capital allocation
Support R&D reporting
Support engineering investment visibility
Translate engineering datasets
Provide executive-level insights
Provide recommendations
Collaborate with stakeholders
Improve operational frameworks
Improve reporting accuracy
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Engineering teams; Product teams; Operations teams
Communication Scope
Executive-level insights; Narratives; Recommendations
Process & Methodology
Program management, Agile delivery metrics, Flow metrics
Full Job Description
## Accountabilities You will be responsible for designing and operating the engineering execution and insights system that powers organizational visibility, using tools such as Jira Cloud and Jellyfish to ensure accurate, scalable, and actionable engineering data across the organization. Design, configure, and maintain scalable engineering workflows, issue structures, and automation rules across large-scale Jira environments. Map engineering work data into investment and delivery insights using Jellyfish, ensuring accurate representation of product and engineering allocation. Standardize issue taxonomy, workflows, and data governance across multiple engineering squads to ensure consistent reporting and analytics. Build and maintain automation systems for ticket hygiene, workflow optimization, and operational efficiency using AI agents and rule-based systems. Develop and deliver engineering metrics dashboards focused on DORA and flow metrics such as cycle time, lead time, deployment frequency, and bottlenecks. Partner with finance and leadership teams to support capital allocation, R&D reporting, and engineering investment visibility. Translate complex engineering datasets into executive-level insights, narratives, and recommendations using AI-assisted analysis tools. Collaborate with stakeholders across engineering, product, and operations teams to continuously improve operational frameworks and reporting accuracy. Requirements This role requires strong experience in engineering operations, data-driven program management, and tooling administration, with the ability to operate at scale in complex engineering environments. You should be comfortable working deeply with engineering systems, automation, and AI-driven workflows. 5+ years of experience in Engineering Operations, Program Management, or similar data-intensive engineering roles. Expert-level proficiency in Jira Cloud administration, including workflows, permissions, and automation. Strong working knowledge o
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