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.