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High Salary : Delivery Leader

High Salary : Delivery Leader

QuantiphiIndia
7 days ago
Job description

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.
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