Engineering Delivery Lead

Required Tech Stack

• Proficiency in using tools such as JIRA to manage tasks, track progress, and report on project status.
• Advanced skills in Excel for data analysis, reporting, and decision-making.
• Strong understanding of SQL for querying databases and analyzing data.
• Familiarity with the technical aspects of data product development, including architecture, and cloud infrastructure, to effectively communicate with development teams.
• Experience in building data processing applications using Hadoop, Spark and NoSQL DB.
• Experience in building scalable enterprise data warehousing and modelling on prem and/or cloud (AWS, GCP, Azure).

Required Non-Tech Stack

• Experience in managing and executing large programs. Act as an Agile coach to the team and customers.
• Experience in managing multiple teams and scaling them.
• Ability to identify and analyse complex business challenges (e.g., technical, operational, or client issues) and break them into smaller, manageable problems. Help in creation of proposal and pre-sales activities.
• Experience creating and maintaining a data and product roadmap, adjusting it based on changing priorities, feedback, and unforeseen challenges (Risk and Change Management and Risk Mitigations).
• Ability to build strong relationships with multiple stakeholders, including developers, designers, marketing, sales, and leadership teams.
• Excellent communication skills, with the ability to clearly articulate complex concepts to both technical and non-technical stakeholders.
• Operational Leadership: Experience in overseeing the execution of operational processes and improving workflows for maximum efficiency.

• Facilitate clear and effective communication across teams to ensure alignment on goals and progress.
• Articulate complex business problems, product strategies, and program progress to both technical and non-technical stakeholders in a clear, concise, and compelling manner. Provide regular updates on program status, roadblocks, and solutions.
• Proactively seek opportunities to improve the Program and processes, drawing from customer feedback, performance metrics, and lessons learned. Drive ongoing optimization efforts to enhance program performance and user experience.