Delivery Head
Business Focus: Embedded Software and Product Engineering Services
Automotive, Compute, IoT and Smart Devices
Customer Focus: US customer projects and global engineering engagements
Hyderabad (Work From Office)
Experience : 20+Years

VotaryTech is seeking a Delivery Head with strong engineering expertise and a business management outlook to lead embedded software and product engineering engagements for US customers.
The role carries accountability for engineering delivery, customer relationships, account growth, revenue realization, team productivity and portfolio profitability. The Delivery Head will translate customer requirements into viable engagements, build capable engineering teams and expand VotaryTech's ownership of customer engineering outcomes.
Own Portfolio Business Performance
Build and execute the portfolio business plan with explicit revenue, billing, staffing, cost and profitability commitments.
Drive monthly and quarterly plans for account expansion, team ramp-up and delivery performance.
Partner with Finance on accurate forecasting, billing and resolution of delivery-related invoicing and collection dependencies.
Lead US Customer Engagements and Account Growth
Own relationships with US customer engineering leaders, program managers and business stakeholders.
Lead onsite–offshore coordination with clear ownership, communication practices and execution plans across time zones.
Expand engagements through dedicated teams, engineering pods, module and subsystem ownership, and project delivery.
Work with Sales, CRM and engineering leaders to create value propositions, proposals, estimates and statements of work.
Lead delivery across customer-deployed engineers, dedicated teams and project-based engagements.
Review engineering progress, quality, productivity, integration issues and release readiness.
Manage scope changes and additional effort with visibility into schedule, cost and commercial implications.
Translate customer demand into specific skill requirements, hiring priorities and deployment plans.




Work with Talent Acquisition and engineering leads to strengthen technical screening, candidate quality and interview conversion.
Assess engineers for technical depth, project experience, problem-solving and customer communication before deployment.
Build engineering pods aligned with customer opportunities and clear delivery outcomes.
Develop delivery managers and technical leads capable of independently managing execution and customer commitments.
Drive cross-skilling, succession planning and backup coverage for critical roles.
Own billable utilization through timely deployment, redeployment and capacity planning.
Maintain visibility into available engineers, upcoming project releases, customer demand and skill gaps.
Align training and readiness investments with identifiable business opportunities.
Anticipate attrition, backfill, renewal and transition requirements to protect delivery and billing continuity.
Retain critical talent through meaningful assignments, development and regular engagement.
Coordinate performance interventions and transitions with HR and Operations, considering customer and business impact.
Drive AI-Enabled Engineering and Delivery
Embed AI into engineering analysis, coding assistance, debugging, testing, automation, documentation and delivery planning.
Demonstrate advanced, role-relevant AI capability and drive practical adoption across managers, leads and engineers.
Deliver measurable improvements in productivity, quality, turnaround time and delivery capacity.
Ensure teams validate AI-assisted outputs and remain accountable for engineering quality.
Run portfolio reviews covering opportunities, hiring, onboarding, delivery health, utilization,



revenue and profitability.
Maintain accurate forecasts, early risk visibility and actionable recovery plans.
Resolve dependencies across Engineering, Sales, CRM, Talent Acquisition, HR, Operations and Finance.
Candidates must have delivery leadership experience in an engineering services organization supporting semiconductor companies, device manufacturers, automotive technology companies or embedded product businesses .
Relevant technical experience should include depth in one or more of the following:
Embedded C/C++, firmware, board bring-up, BSPs and device drivers.
Linux kernel, Android platform, AOSP and embedded operating systems.
Chipset or device software development, integration, debugging and validation.
Automotive embedded software development, integration or validation.
Compute, IoT or smart-device engineering across development, testing, automation and sustenance.
Proven experience leading embedded software or device-level product engineering delivery.
Experience leading US customer projects in embedded software, semiconductor or product engineering services, with direct ownership of customer relationships, onsite–offshore delivery, account growth and profitability.
Experience managing time-and-material and fixed-price engagements.
Ability to assess engineering talent, challenge estimates and discuss technical scope and delivery risks with customers.
Practical experience applying AI to engineering and delivery workflows.
This role requires direct experience in embedded software and product engineering services. Experience limited to enterprise applications, ERP implementation, generic web/mobile development, IT infrastructure support, BPO operations or recruitment/account management without engineering delivery ownership will not meet the requirements.
US customer projects and onsite–offshore delivery responsibilities.
Examples of account expansion and engineering delivery outcomes.
AI applications and measurable improvements achieved.

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