Delivery Head

Key Responsibilities

• Programme ownership: Own end-to-end delivery accountability for managed technology

engagements — spanning planning, execution, release management, and post-go-live

support — with clear SLA and milestone commitments to the client.

• Client relationship management: Serve as the primary delivery point of contact for client

stakeholders; run steering reviews, present progress and risk registers, and proactively

address issues before they escalate.

• Team leadership: Lead, motivate, and develop cross-functional pods comprising software

engineers, data engineers, BAs, QA specialists, and scrum masters; sustain team velocity

while managing attrition and bench gaps.

• Agile and scrum governance: Drive sprint planning, stand-ups, retrospectives, and release

ceremonies across one or more scrum teams; coach scrum masters and enforce agile

hygiene without being dogmatic about process.

• Technical oversight: Partner with tech leads on architecture decisions, code quality

standards, and technical debt management; review delivery estimates and call out scope or

timeline risks grounded in engineering reality.

• SDLC and AIDLC governance: Apply a working command of software development

lifecycle (SDLC) disciplines — requirements, design, build, test, release, and maintenance

— and their AI-augmented equivalents (AIDLC), including model development pipelines,

data validation gates, and responsible-AI checkpoints; ensure the team's operating rhythm

and tooling reflect the right lifecycle model for each workstream.

• Delivery metrics and reporting: Define, track, and publish delivery KPIs — velocity, defect

density, release frequency, client CSAT — and use data to drive continuous improvement.

• Risk and dependency management: Maintain an active risk and issue log; own the

escalation path for blockers that cross team or client boundaries; coordinate with

infrastructure, security, and third-party vendors as needed.

• Resource and capacity planning: Work with recruiting and resource management to

forecast hiring needs, onboard new team members, and ensure the right mix of skills is

available for upcoming sprints and milestones.

• Commercial awareness: Track hours burn, scope change, and margin health on your

engagements; flag commercial risks and support the account management team in contract

renewals and expansion conversations.

• Practice development: Contribute to building Netscribes& managed delivery playbooks,

onboarding templates, and engagement operating models so that what works on one

account can be replicated at scale.

Required Qualifications

• Bachelors or Masters degree in Computer Science, Information Technology, Engineering,

or a related field.

• 12–18 years of overall experience, with a minimum of 5 years in software development (any

mainstream stack) and 4+ years in a delivery management, programme management, or

engagement management role.

• Demonstrated ownership of multi-team software delivery programmes — managing 10 or

more engineers across concurrent workstreams with hard client deadlines.

• Hands-on scrum master or agile lead experience; comfortable running sprint ceremonies

and coaching teams on agile practices, not just overseeing them.

• Strong grasp of software engineering fundamentals — enough to validate technical

estimates, challenge scope decisions, and have credible technical conversations with

engineers and architects.

• Solid understanding of end-to-end SDLC phases — requirements, design, development,

testing, deployment, and maintenance — and familiarity with AI-augmented development

lifecycle (AIDLC) practices such as model development pipelines, data quality gates, and AI

governance checkpoints relevant to client engagements.

• Proven track record of managing senior client stakeholders — running steering committees,

presenting to CxO audiences, and handling difficult conversations calmly and constructively.

• Experience with project and delivery tooling — Jira, Confluence, or equivalents — and

comfort defining process when tooling is absent.

• Demonstrable commercial awareness: understanding of T&M and fixed-price contract

models, change control processes, and margin-level hygiene.

• Excellent written and verbal communication skills; able to produce crisp status reports, risk

registers, and slide decks without heavy editorial support.