Service Delivery Lead at Building enterprise data, cloud, and AI solutions. · Bengaluru (Bangalore) · 9 - 16 years · Upto ₹45L / yr · Posted 17 Sep 2026
Service Delivery Lead
at Building enterprise data, cloud, and AI solutions.
What You’ll Do:
In the Platform (30–40% of your time)
- Review cloud and data architectures to identify gaps and risks.
- Lead technical triage on P1 incidents — be comfortable on bridge calls and know the right questions to ask.
- Stay hands-on with automation, scripting, and platform operations; you're not above writing the runbook yourself.
- Conduct FinOps reviews including cost anomaly analysis, licence audits, and resource right-sizing, bringing a technical and commercial lens.
- Stress-test transition readiness and define the gates before services move into BAU.
Running the Service (60% of your time)
- Own SLA performance and the RAID log across multiple client engagements.
- Lead sprint retrospectives and daily stand-ups with a strong understanding of Agile ways of working.
- Create executive service review packs that are crisp, data-driven, and actionable.
- Manage the Run / Change / Project boundary and protect BAU capacity from scope creep.
- Mentor and performance-manage a team of engineers, with a strong understanding of technical quality and delivery.
- Navigate commercial structures including fixed retainers, capacity tokens, and NTE caps.
With Clients
- Build trusted relationships with CXO and VP-level stakeholders through technical credibility.
- De-escalate challenging situations with empathy, clarity, and precision.
- Run effective Executive Business Reviews (EBRs) that build client confidence and demonstrate tangible value.
What We’re Looking For
You came up through the technical side — cloud engineering, data engineering, platform, or DevOps — and over time started solving problems beyond purely technical challenges. You now want a role that explicitly combines technical depth, service delivery, operations, and client leadership.
Specifically:
- 8+ years of experience working in cloud and data environments, with meaningful experience in managed services or operational delivery.
- Hands-on expertise in at least one major platform: Azure, AWS, GCP, Snowflake, or Databricks.
- Ability to read infrastructure and diagnose issues at the code/configuration level, not just through dashboards.
- Experience managing complex client relationships, including difficult or escalated conversations.
- Practical working knowledge of ITIL (Incident, Problem, Change) and Agile methodologies.
- Commercial exposure to SOW management, scope negotiation, and capacity planning.
- Strong operational judgment developed through handling critical incidents and making decisions with incomplete information.
- Strong communication, stakeholder management, and team leadership skills.
You don't need to have had "Service Delivery Manager" in your previous title. If your background is in senior data, cloud, platform, or DevOps engineering and you've also handled operations, governance, service delivery, and client-facing responsibilities, we'd like to hear from you.
What You’ll Get
- Opportunity to work across industries, clients, and technologies.
- Exposure to global businesses and complex technology environments.
- Access to technical IP, frameworks, playbooks, and accelerators.
- Exposure to a broad ecosystem of technologies.
- Mentorship and support from experienced senior consultants and technical leaders.
- Strong learning and development support, including certifications, training, hackathons, and mentoring.
- Transparent career progression and structured performance reviews.
- Opportunities to strengthen public speaking, consulting, and leadership skills.
- Comprehensive health insurance.
- Recognition, rewards, and long-term incentives.
- A collaborative environment with regular team and social activities.
Interview Process
The interview process consists of four stages:
- Technical Online Screening – Baseline assessment of problem-solving and technical capabilities.
- Introductory & Cultural Assessment – Discussion around experience, career goals, and alignment.
- Technical Assessment – Detailed evaluation of technical competency by the technical panel.
- Final Round – Final assessment covering technical depth, leadership, and overall fit.
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