Engineering Manager

We are seeking a highly organised and delivery-focused
Engineering Manager
to help our Hyderabad engineering team achieve its full potential. In this role, you will work closely with senior engineering and product leadership to drive an outcome-based product operating model, establish a Centre of Excellence, and ensure our delivery processes are world-class.

You will partner with current technical leaders and engineers, supporting, enabling, and empowering them, while also taking on people management responsibilities to guide individual growth and performance. This is a hands-on operational role where your success is measured by how effectively the team delivers value, collaborates, and continuously improves.

Key Responsibilities

Delivery Operations & Governance

• Partner with leadership to ensure delivery goals are achieved.
• Own and facilitate all delivery cadences, including:
• Sprint planning and preparation
• Capacity planning and forecasting
• Daily standups
• Refinement sessions
• Retrospectives
• Stakeholder reviews and demos
• Maintain strong alignment between engineering execution and product priorities.

Centre of Excellence Development

• Collaborate with leadership to define and embed best practices for outcome-based delivery.
• Promote a culture of continuous improvement, problem-solving, and accountability.

People Management & Coaching

• Manage a portion of the engineering team, providing regular 1:1s, coaching, and career development guidance.
• Support current technical leads in mentoring and developing engineers.
• Ensure performance feedback is constructive, timely, and growth-oriented.

Process, Tooling & Documentation

• Manage and optimise Jira workflows for clarity, transparency, and efficiency.
• Maintain thorough process documentation in Confluence to enable consistency and onboarding.
• Review ustilisation of AI and use.
• Identify and implement process improvements to increase velocity, predictability, and quality.

Reporting & Metrics

• Track and report on:
• Customer-facing outcome metrics to measure product value and impact.
• Internal engineering metrics, including:
• DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Mean Time to Recovery)
• Sprint velocity
• Cycle time
• Defect rates
• Work-in-progress limits
• Develop dashboards and reports to provide leadership with clear visibility into delivery performance.
• Use data insights to recommend and implement improvements.

Stakeholder Collaboration

• Act as a key coordination point between engineering, product, and leadership.
• Facilitate strong alignment with the UK-based product team, managing dependencies and shared priorities.
• Provide regular updates on progress, risks, and mitigations.

Domain Expertise

• Ideally bring experience in B2B media and/or AI-focused product transformations.
• Understand enterprise-grade delivery requirements, including scalability, performance, and compliance.

Qualifications

• 5+ years in software delivery or engineering roles, with at least 2 to 4 years in an engineering management capacity.
• Proven success delivering in an outcome-based product model.
• Strong Jira administration and workflow optimisation skills.
• Excellent Confluence documentation discipline.
• Deep understanding of Agile methodologies, specifically Scrum, with good knowledge of the SAFe framework.
• Experience working closely with product teams across geographies and time zones.
• Strong analytical and reporting skills using engineering metrics to drive improvement.
• Familiarity with B2B media or AI/ML-based product development is highly desirable.

Commitment to D&I and EEO:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, GlobalData is proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.