Company: VotaryTech

Position: BU -Delivery Head

Business Focus: Embedded Software and Product Engineering Services

Domains: Automotive, Compute, IoT and Smart Devices

Experience:20+ Years

Location: Hyderabad (Work From Office)

Role Purpose

VotaryTech is seeking a Delivery Head with a strong engineering background and business ownership experience in embedded software, semiconductor platforms and device-level product engineering services.

The role owns customer delivery, account expansion, engineering capability, resource productivity, revenue realization and portfolio profitability. The candidate must demonstrate the ability to understand customer engineering roadmaps, convert requirements into billable engagements and build teams that take responsibility for engineering outcomes.

Relevant Industry and Technical Background

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 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.
- Connectivity technologies such as Wi-Fi, Bluetooth/BLE and connected-device platforms.
- Automotive embedded software and associated development, integration or validation programs.
- Compute, IoT or smart-device engineering across development, testing, automation and sustenance.

The candidate should have sufficient technical depth to assess engineering capability, challenge estimates, review delivery risks and engage credibly with customer engineering leaders.

Key Responsibilities

1. Own Engineering Business Performance

- Own the assigned portfolio’s revenue, billing, delivery costs, resource utilization and profitability.
- Build monthly and quarterly execution plans covering account growth, requirement conversion, team ramp-up and delivery commitments.
- Convert customer demand and approved opportunities into onboarding, productive deployment and billing.
- Identify and resolve revenue leakage caused by delayed deployment, unbilled effort, prolonged vacancies or delivery gaps.
- Partner with Finance and business teams on forecasts, billing accuracy and delivery-related collection dependencies.

2. Expand Customer Engagements

- Build relationships with customer engineering leaders and hiring managers to understand technology roadmaps and upcoming requirements.




- Identify opportunities within Automotive, Compute, IoT and Smart Devices accounts.
- Expand engagements from individual engineer deployment to dedicated teams, engineering pods, module ownership and project delivery.
- Develop opportunities across sustenance, platform upgrades, feature development, integration, validation and automation.
- Work with Sales, CRM and technical leaders to create credible proposals, estimates, staffing plans and statements of work.
- Use customer reviews to demonstrate engineering value and secure renewals and additional scope.

3. Lead Engineering Delivery

- Own outcomes across customer-deployed engineering teams, dedicated delivery teams and project-based engagements.
- Establish clear scope, milestones, acceptance criteria, staffing and technical ownership.
- Review engineering progress, defect trends, integration issues, release readiness and customer feedback.
- Ensure teams can investigate technical problems, resolve dependencies and deliver against customer commitments.
- Manage scope changes and additional effort with explicit visibility into schedule, cost and commercial implications.
- Resolve escalations and implement corrective actions that prevent recurrence.

4. Build Customer-Ready Engineering Teams

- Translate customer requirements into precise skill, experience and deployment criteria.
- Work with Talent Acquisition and engineering leads to assess candidates for relevant technical depth and project experience.
- Improve interview conversion through stronger screening, practical evaluations and customer-specific preparation.
- Build engineering pods and delivery teams aligned with identifiable customer opportunities.
- Develop delivery managers and technical leads who can independently own execution and customer interactions.
- Drive cross-skilling in relevant platforms and technologies to improve deployment readiness.

5. Improve Utilization and Protect Revenue Continuity

- Maintain visibility into billable deployment, available engineers, upcoming releases and skill gaps.
- Drive timely deployment and redeployment to reduce non-billable time.
- Plan backfills, knowledge transfer and succession coverage before delivery or billing is affected.
- Monitor renewals,



customer dependencies and critical talent risks.
- Coordinate performance interventions and transitions with HR and Operations while protecting customer commitments.

6. Drive Practical AI Adoption

- Apply AI to engineering analysis, coding assistance, debugging, test generation, automation, documentation and delivery planning.
- Demonstrate advanced, role-relevant AI capability and drive adoption across managers, technical leads and engineers.
- Establish measurable improvements in engineering productivity, quality and turnaround time.
- Ensure teams validate AI-assisted outputs and follow customer requirements for approved tools, confidentiality and security.

7. Maintain Execution Discipline

- Run portfolio reviews covering opportunities, hiring, onboarding, delivery health, utilization, revenue and profitability.
- Maintain clear action owners, deadlines and closure tracking.
- Provide leadership with accurate forecasts, early risk visibility and recovery plans.
- Resolve dependencies across Engineering, Sales, CRM, Talent Acquisition, HR, Operations and Finance.

Mandatory Candidate Requirements

- Proven leadership experience in embedded software or device-level product engineering services.
- Direct accountability for engineering delivery, customer relationships, team deployment and portfolio financial performance.
- Experience managing engagements involving semiconductor platforms, embedded products or connected devices.
- Demonstrated success in expanding accounts and converting engineering requirements into billable business.
- Experience managing customer-deployed teams and project-based delivery, with an understanding of time-and-material and fixed-price commercial models.
- Ability to evaluate technical talent and discuss engineering scope, estimates and risks with customers.
- Practical experience applying AI to engineering or delivery workflows.

Application Relevance This position requires direct experience in the engineering domains described above. Experience limited to enterprise application delivery, ERP implementation, generic web/mobile development, IT infrastructure support, BPO operations or recruitment/account management without engineering delivery ownership will not meet the role requirements.

Applicants should highlight the following in their CV:

- Relevant embedded or product engineering domains and platforms.
- Engineering teams and portfolios managed.
- Responsibility for revenue, utilization and profitability.
- Examples of customer account expansion and delivery ownership.
- Practical AI use cases and measurable results.

📌 BU- Delivery Head (Hyderabad)
🏢 Votary Softech Solutions
📍 Hyderabad