Delivery Leader

Role : Senior Engagement Manager (Delivery Leader - Nvidia Business Unit) Experience : 13 to 20 Years Work location : Bengaluru / Mumbai As part of the core delivery team of Quantiphi, the Delivery Leader will be responsible for managing the delivery and execution of 25+ projects for large healthcare or telecom customers. A Critical Thinker with a Growth Mindset, Strong Decision making Abilities, Customer First Attitude, Build to Scale Approaches, Effective People Leader & Mentor. Job Responsibilities: Delivery Leadership - Lead delivery across multiple enterprise-scale AI engagements, covering product ideation, engineering execution, and production operations Partner with PMO, recruitment, and engineering leadership to ramp up use-case squads based on BU and customer requirements. Own delivery governance—review PI/Sprint plans, ensure risk mitigation, and maintain transparency across engagements. Ensure timely delivery of commitments, adherence to SLAs, and overall delivery excellence. Drive process improvements to de-risk execution, streamline delivery, and standardize best practices across accounts Build product mindset in the team for them to be build solutions and frameworks that accelerate use-case development for 500+ enterprise agents.. Customer Success - Act as the single point of escalation for delivery, ensuring proactive risk identification and resolution. Build and sustain strong customer relationships with senior stakeholders (SVP and above). Drive customer trust, satisfaction, and partnership—measured via CSAT/NPS scores. Translate business needs into product-ready delivery roadmaps and value outcomes. P&L and Business Growth - Own P&L responsibility for the engagement, ensuring margins, operational excellence, and delivery profitability. Drive delivery-led growth by expanding engagements across workloads, solutions, and capabilities. Ensure revenue growth and diversification, establishing multi-year partnerships with key stakeholders. Collaborate with Business Operations, Finance, and Resource Management to ensure efficient cost structures and resource utilization. Team Leadership & Talent Development - Lead and mentor a 100+ member delivery team, spanning ML, Platform Engineering, and Software Development. Foster a high-performance culture with a focus on accountability, collaboration, and innovation. Invest in talent development programs to upskill teams, hire and onboard fresh talent, and groom next-generation leaders. Strengthen organizational association through employee engagement, mentoring, and career growth pathways. Job Requirements: 13+ years of delivery management experience in enterprise product engineering or AI-driven services. Strong background in project/program management methodologies (Agile, SAFe, Lean Portfolio). Proven experience in delivering enterprise-scale AI/ML or platform engineering solutions from concept to production. Deep understanding of product-ready solutions—balancing rapid prototyping with enterprise-grade production quality. Demonstrated success in P&L ownership, margins optimization, and delivery-led revenue growth. Strong record in customer success management, with direct accountability for CSAT/NPS outcomes. Experience managing large teams (100+), with emphasis on leadership development and organizational scaling. Experience in leading cross-functional teams, and in-depth knowledge in framing, designing and execution of solutions for challenging business problems Extensive experience in working with customers having global operations and with diverse cultural backgrounds. Executive demeanor and experience working with senior client executives and leadership, Excellent interpersonal, communication and presentation skills What's in it for you? Be part of a strategic leadership role shaping how enterprises build and scale Gen AI solutions. Lead the delivery of a large enterprise Agentic AI platforms , scaling to 500+ agents. Directly influence customer success, growth, and enterprise AI adoption . Own the end-to-end delivery lifecycle across innovation, engineering, and operations. The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on how GPUs can effectively be utilised to build large scale Agentic platform that can host 500+ usecases (agents). Flexible working options available to foster productivity and work/life balance.