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T

Delivery Manager

Tredence · Bengaluru, Karnataka, India - Delhi, Delhi, India - San Carlos, Rio San Juan, Nicaragua - Pune, Maharashtra, India

Est. ~₹35L (est.)8–16 yrs experiencefull_timePosted 2mo ago

Job description

Key Responsibilities 1. Delivery Management • Own and manage delivery for one or more mid-to-large accounts in the Data Engineering/Analytics domain. • Ensure successful execution of programs/projects aligned to timelines, quality standards, and client expectations. • Establish strong governance structures, track delivery metrics, and proactively manage risks/issues. 2. Financial & P&L Management • Support and manage account-level financials, including budgeting, forecasting, and revenue tracking. • Drive margin improvement initiatives through effective resource utilization, pyramid optimization, and cost efficiency. • Monitor delivery KPIs such as utilization, billing, and profitability. 3. Client & Stakeholder Management • Build and maintain strong relationships with client stakeholders across business and IT. • Act as a reliable point of contact for delivery-related engagements. • Collaborate with sales/presales teams to support account mining, renewals, and growth opportunities. 4. Team Leadership & People Development • Lead and manage delivery teams comprising data engineers, leads, and architects (onshore/offshore). • Mentor team members and drive a culture of accountability, collaboration, and continuous improvement. • Work closely with practice/CoE teams for skill development and capability building. 5. Technical Oversight • Possess strong understanding of modern data architectures including cloud data platforms, ETL/ELT, data lakes, and streaming. • Provide oversight on solution design and ensure alignment with best practices. • Stay current with evolving technologies including cloud (AWS/Azure/GCP) and next-gen data platforms. Required Skills & Qualifications • 12+ years of experience with strong background in delivery management in Data Engineering/Analytics. • Proven experience in managing end-to-end delivery for client accounts. • Exposure to handling account-level financials / small P&L. • Strong expertise in data engineering technologies (Databricks, Snowflake, Spark, Kafka, ETL tools, etc.). • Hands-on experience with cloud ecosystems (AWS, Azure, or GCP). • Demonstrated ability to manage client relationships and stakeholder expectations. • Experience leading distributed teams (onsite/offshore model). • Strong problem-solving, communication, and program management skills. • Engineering/technical degree required; MBA preferred

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