ROLES AND RESPONSIBILITIES:
Standardization and Governance:
- Establishing and maintaining project management standards, processes, and methodologies.
- Ensuring consistent application of project management policies and procedures.
- Implementing and managing project governance processes.
Resource Management:
- Facilitating the sharing of resources, tools, and methodologies across projects.
- Planning and allocating resources effectively.
- Managing resource capacity and forecasting future needs.
Communication and Reporting:
- Ensuring effective communication and information flow among project teams and stakeholders.
- Monitoring project progress and reporting on performance.
- Communicating strategic work progress, including risks and benefits.
Project Portfolio Management:
- Supporting strategic decision-making by aligning projects with organizational goals.
- Selecting and prioritizing projects based on business objectives.
- Managing project portfolios and ensuring efficient resource allocation across projects.
Process Improvement:
- Identifying and implementing industry best practices into workflows.
- Improving project management processes and methodologies.
- Optimizing project delivery and resource utilization.
Training and Support:
- Providing training and support to project managers and team members.
- Offering project management tools, best practices, and reporting templates.
Other Responsibilities:
- Managing documentation of project history for future reference.
- Coaching project teams on implementing project management steps.
- Analysing financial data and managing project costs.
- Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
- Advising and supporting senior management.
IDEAL CANDIDATE:
- 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
- Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
- Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
- Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
- Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
- Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
- Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
- Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
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Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.
This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.
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AI-First Engineering Culture :
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Hands-On Engineering Leadership :
- Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
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- Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
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- Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
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- Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
- Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
- Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
- Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
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- Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
- Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
- Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
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- Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
- Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
- Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
- Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering
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- Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
- Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
- Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
- Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership
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- Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use
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Full Stack Developer - Averlon