Delivery Leader

Role : Senior Engagement Manager (Delivery Leader - Nvidia Business Unit)Experience : 13 to 20 YearsWork location : Bengaluru / MumbaiAs 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 skillsWhat'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.