Delivery Management Leader – AI productivity solutions
Posted:
9 September 2026 (6 days ago)
Application Deadline:
7 December 2026
Vacancies:
1 Vacancy
Job Summary
We are seeking a Delivery Management Leader for AI productivity solutions to drive the successful delivery of high-impact AI programs across diverse industries.
This role requires a strong background in application development (Java/.Net) expertise in cloud platforms (AWS/Azure) and the ability to lead large cross-functional teams in delivering scalable efficient AI solutions that accelerate time-to-market and business value.
Responsibilities
- Oversee the end-to-end delivery lifecycle for client engagements including strategic planning implementation governance and post-implementation support
- Ensure delivery metrics such as scope schedule adherence quality budget compliance and operational KPIs are consistently met across all engagements
- Manage multi-project portfolios and large cross-functional teams fostering collaboration across engineering quality assurance business analysis architecture and DevOps
- Own the program governance model engaging stakeholders at all delivery levels and maintaining alignment on key deliverables risks and financial health
- Take full accountability for client portfolio financials including revenue recognition profitability margin improvement budget forecasting and corrective action planning
- Identify and drive cost optimization and OPEX reduction through automation resource optimization and enhanced delivery models
- Monitor resource utilization productivity metrics and workforce optimization strategies to align resources with program outcomes
- Serve as the primary client liaison for senior-level relationships translating business challenges into actionable delivery strategies and maintaining alignment with client objectives
- Conduct Steering Committee sessions and executive-level communications to provide delivery updates propose innovations and manage escalations
- Build lead and mentor large distributed teams cultivating high performance and driving talent development through mentoring and coaching
- Mediate resource conflicts resolve escalations and ensure delivery deadlines are met planning for contingencies with robust mitigation actions
- Identify assess and mitigate program risks to ensure delivery schedules and client KPIs are not impacted ensuring continuity of services during high-pressure situations
- Identify up-sell and cross-sell opportunities develop strategies for expanding the organizations footprint and partner with sales and pre-sales teams on RFPs SOWs and business proposals
- Drive continuous innovation for client projects through automation process enhancements and adoption of emerging technologies promoting best practices in cloud-native applications data platforms AI/ML and DevOps pipelines
- Lead end-to-end AI program delivery including execution of Agentic AI and AI productivity solutions management of delivery roadmaps implementation of AI accelerators and establishment of KPIs to track and improve delivery efficiency
Requirements
- 13 to 15 years of IT experience with 8 years in delivery leadership roles and 3 years in AI/ML projects
- Proven track record of delivering enterprise AI programs including LLMs RAG Agentic AI and automation use cases
- Deep understanding of cloud-native AI services on AWS or Azure
- Expertise in large-scale enterprise programs across industries such as BFSI Telecom Healthcare Retail or Life Sciences
- Strong ability to influence and manage senior-level client stakeholders including Directors VPs and CXOs while building trusted relationships
- Pragmatic leadership approach to resolve escalations handle conflicts within delivery teams and overcome program challenges effectively
- Familiarity with modern engineering technologies and delivery methods including cloud platforms (AWS Azure GCP) microservices and DevOps data analytics platforms (Tableau Power BI BigQuery) and automation frameworks like RPA (UiPath Blue Prism)
- Understanding of ITIL/ITSM frameworks and SLA-driven managed services delivery
- Knowledge of Agile development methodologies (Scrum SAFe) and traditional Waterfall-based delivery
- Exceptional leadership negotiation and decision-making skills for managing high-pressure situations and improving delivery performance
- Ability to thrive in ambiguity and deliver results under challenging timelines
- Strong analytical communication and interpersonal abilities for fostering team and client collaboration
Required Experience:
Manager