AVP - Engineering Leader - Product & Engineering

AVP - Engineering Leader - Product & Engineering

Role Overview: As a Engineering Leader, you will help shape and communicate a strategic vision for modern software engineering. You will provide hands-on leadership across multiple high-impact products, ensuring our solutions are innovative, effective, and aligned with business goals. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. Leveraging your deep expertise in software engineering—including application and data integration, modern frameworks, and diverse technologies—you will guide teams in delivering robust, high-quality solutions. As a role model and mentor, you will foster a culture of technical excellence, continuous learning, and collaboration. Your ability to inspire and develop engineering talent, while partnering with cross-functional teams, will be essential to our ongoing success and the value we deliver to Deloitte’s business.

Key Responsibilities:

Strategic Vision and Alignment: Contribute to defining, communicating, and continuously refining a compelling engineering vision that translates business objectives into actionable strategies. Ensure engineering teams are aligned and engaged, collaborating closely with product, experience, delivery, infrastructure, and security teams. Leverage technical artifacts and feedback loops to illustrate and evolve the vision.

Advocacy and Technology Roadmap: Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance. Promote a culture of reuse, quality, and speed to maximize outcomes. Actively engage and energize teams around the engineering vision and its alignment with business and technology goals.

Craft Mastery and Objectives Realization: Drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability. Maintain and evolve engineering dashboards (planning, code quality, CI/CD, performance, security, operations). Contribute hands-on to design and code, mentor engineers, and resolve technical challenges. Inspire teams to adopt new technologies and best practices, fostering a passion for engineering excellence.

Capability Evolution and Development: Being an engineering expert, mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, data engineering, DevSecOps, and advanced deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Lead by example through thought leadership—speaking at conferences, publishing, R&D, or collaborating with academia. Cultivate a growth mindset and modern engineering behaviors across the team.

Iterative Value Delivery: Embrace an iterative and incremental product development, favoring action, prioritizing rapid learning, and adaptation over extensive upfront planning. Apply leaning-forward approach and empirical methods to navigate complexity, ensuring each iteration delivers value and aligns with customer and business needs.

Customer-Centric Problem Solving: Maintain a relentless focus on solving the most critical customer challenges. Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance through continuous learning and collaborative execution.

Tech/Quality Risk Management: Establish and evolve engineering standards, coding practices, and quality benchmarks to ensure robust, secure, and scalable solutions. Proactively identify and mitigate technical risks, ensuring operational excellence and resilience.

Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence.

Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

Key Qualifications:

• A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Enterprise experience is the most relevant factor.
• Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).
• 15+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.
• 8+ years of hands-on experience with cloud-native integration services on one or more hyper-scalers like Azure, AWS, GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh).
• 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement.
• 3+ years of experience with AI/ML; experience with the latest GenAI models is preferred.
• Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly.
• Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration.
• Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning.
• Strong understanding of security, privacy, and compliance requirements in enterprise software engineering.
• Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments.
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Location: Hyderabad

Shift timing – 11AM to 8PM

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