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 governancereview 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 partnershipmeasured 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 solutionsbalancing 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.