Delivery Management Leader – AI productivity solutions

Office in India: Hyderabad,

Delivery Management

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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 organization’s 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

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