Role Overview -
You will be responsible for owning the end-to-end delivery of strategic technology programs spanning Full Stack, Cloud, Data, and AI-powered platforms—with a relentless focus on quality, predictability, business outcomes, and stakeholder satisfaction. This role requires a blend of technical depth, leadership excellence, and strategic execution to scale delivery capabilities and enable innovation at enterprise level.
Key Responsibilities -
- End-to-End Delivery Ownership: Lead the full lifecycle of complex engineering programs—from planning and scoping to execution, delivery, and post-launch support—ensuring alignment with business goals and SLAs.
- Team Leadership: Build, mentor, and scale high-performing, cross-functional engineering teams (Full Stack, Cloud, Data, AI/ML, DevOps) across distributed geographies.
- Predictable & High-Quality Delivery: Drive on-time, on-budget, and defect-minimized delivery through disciplined execution, agile frameworks, and continuous improvement.
- Stakeholder & Governance Management: Act as the primary point of contact for business, product, and technical stakeholders; manage expectations, escalate risks proactively, and ensure robust delivery governance.
- Risk & Issue Mitigation: Identify, assess, and mitigate delivery risks (technical, resource, timeline, compliance) with data-driven decision-making and contingency planning.
- Modern Engineering Enablement: Champion adoption of modern practices—CI/CD, Infrastructure-as-Code (Terraform), cloud-native architectures (AWS/Azure), AI/ML integration, and observability.
- Innovation & Scalability: Partner with R&D and product teams to incubate and scale AI-enabled platforms and data-driven solutions that drive measurable business value.
- Performance & Metrics: Define and track KPIs (SLA adherence, defect density, release velocity, team health) to drive continuous improvement and transparency.
What We're Looking For
- 8+ years of experience in engineering delivery, with at least 5 years leading large-scale, multi-team technology programs.
- Proven track record in delivering complex, full-stack, cloud, data, and AI-powered solutions in enterprise environments.
- Deep hands-on understanding of Agile, Scrum, SAFe, or hybrid delivery frameworks, with experience managing distributed teams.
- Strong expertise in cloud platforms (AWS/Azure), CI/CD pipelines, DevOps practices, and Infrastructure-as-Code (Terraform).
- Exposure to AI/ML platforms, generative AI, predictive analytics, and intelligent automation—with ability to lead AI-powered product delivery.
- Demonstrated ability to manage stakeholder expectations, lead executive-level discussions, and influence without direct authority.
- Excellent communication, negotiation, and conflict-resolution skills with a bias for action and ownership.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications
- PMP, SAFe Agilist, or AWS/Azure certification preferred.
- Experience in BFSI, High-Tech, Supply Chain, or Market Research domains is a plus.
- Experience working with Jira, Confluence, Azure DevOps, or similar tooling for delivery tracking and governance.
- Familiarity with security compliance standards (ISO 27001, SOC 2) in delivery environments.
