Technical Delivery Manager

• →Coach, Mentor, and Onboard Consultants: Guide team members through difficult technical problems in real time. Lead onboarding so new consultants reach full productivity quickly. Build and lead training sessions, develop learning collateral, and support each consultant’s long-term career growth through on-the-job coaching.
• →Drive Tooling Mastery and Innovation: Ensure the team deeply understands and effectively uses service-enabling tools (e.g., Grafana, Python, SQL query analysis, Locust, Jupyter Notebooks, AI). Identify gaps, propose enhancements, and collaborate with leadership to evolve
• →Connect Globally and Foster Knowledge Sharing: Work closely with Global leaders and peers to ensure consistent delivery and cross-pollination of innovation. Lead or actively participate in communities of practice, share learnings broadly, and represent Chennai’s capability expertise on the global stage.
• →Support Talent Development and Hiring: Help define hiring profiles for the capability, participate in interviews, and provide performance input for consultants within your service line. Shape what “great looks like” at every level of the team 
• →Drive Tooling Proficiency: Ensure the team effectively utilizes service-enabling tools, identifying and flagging gaps or improvement opportunities back to leadership.

You will possess deep expertise in Performance Engineering and Performance Reliability.  If you are not already, you will become a recognized expert in how Appian behaves under load, at scale, and under failure conditions. That means going beyond tooling: you will learn Appian's architecture, process engine, data fabric, and performance characteristics from the ground up.

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
• Experience: Minimum of 10 years of experience leading technical delivery teams within an enterprise software or consulting environment.
• Capability Depth: Deep, demonstrable expertise in at least one of Chennai’s core engineering disciplines: Performance Engineering, Reliability Engineering, Development Standards Engineering, Data Quality Engineering.
• Craft and Quality Ownership: Proven track record of building or maturing a technical methodology, including the creation of reusable assets, documented practices, and quality standards used by a broader team.
• Mentorship and Coaching: Demonstrated ability to coach and develop engineers of varying experience levels, including less-experienced staff, to produce high-quality, consistent outputs in a leveraged delivery model.
• Technical Oversight: Strong background in technical coaching, code reviews, and quality assurance for enterprise-scale applications.

• Experience contributing to the design or improvement of an as-a-service delivery model, including standardized tooling, methodology documentation, or repeatable engagement frameworks.
• Experience collaborating with globally distributed stakeholders in a matrixed organization.
• Familiarity with AI-augmented engineering practices or experience integrating automation and AI tooling into a technical service delivery workflow.