Technical Operational Manager in India at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Operational Manager based in India.
This is a strategic engineering operations role at the heart of how modern product and engineering organizations measure, understand, and optimize their delivery systems. You will own the operational backbone that connects engineering execution data with business visibility, ensuring leadership has a clear, reliable view of investment allocation, delivery performance, and system health. The role sits at the intersection of engineering, data, and AI-driven operations, with a strong focus on building scalable, automated, and insight-rich workflows. You will work across cross-functional teams to standardize tooling, improve engineering efficiency, and drive data-backed decision-making at scale. The environment is highly analytical and transformation-oriented, with a strong emphasis on automation, AI adoption, and operational excellence. This is a role for someone who enjoys building systems that improve how engineering organizations operate, not just report on them.
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.
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 of Jellyfish or similar engineering intelligence tools.
- Deep understanding of Agile delivery metrics and engineering performance indicators, including DORA and flow metrics.
- Strong ability to design and manage structured engineering data systems, taxonomies, and reporting frameworks.
- Experience using AI tools and LLMs to automate analysis, reporting, and operational workflows.
- Basic scripting or integration experience using Python or JavaScript for API-based automation is a plus.
- Familiarity with SDLC, Scrum, and scaled Agile frameworks such as SAFe.
- Strong analytical thinking, communication skills, and ability to influence cross-functional stakeholders.
- Competitive compensation with performance-based bonus eligibility
- Flexible working arrangements and remote-friendly culture
- Comprehensive health coverage including medical, dental, and vision insurance
- Paid parental leave, sabbatical opportunities, and generous time-off policies
- Learning and development support for continuous skill growth
- Access to modern engineering tooling and AI-enabled platforms
- Inclusive, global work environment focused on autonomy and impact.