Technical Program Manager III, AI & Data

Overview

Lead complex, cross-functional technical programs for the AI and Analytics Platform team within the AI and Data Organisation, connecting strategic goals to clear priorities, measurable outcomes, and predictable delivery.

What you'll do

• Translate business objectives and product or technical requirements into integrated plans, milestones, workstreams, and execution priorities.
• Drive delivery end to end, adapting plans as scope, sequencing, capacity, or context changes.
• Partner with Functional Area and team leaders to assess whether proposed work supports AI and Data and Expedia Group priorities.
• Define success criteria and measurable outcomes before execution, and use results to guide decisions and continuous improvement.
• Maintain an accurate view of programs including commitments, status, dependencies, risks, and changes.
• Develop roadmaps and concise leadership updates with minimal overhead, and be candid when commitments are at risk or information is unresolved.
• Support quarterly planning cycles that connect team commitments to Expedia Group goals.
• Facilitate prioritization and trade-off discussions so leaders and teams can focus capacity on the most important outcomes.
• Coordinate engineering, product, design, data, business, and partner teams, and document decisions, owners, and their implications.
• Identify issues and bottlenecks early, maintain clear ownership and mitigation plans, and escalate when needed.
• Track cross-team dependencies and critical paths, frame trade-offs, and communicate impacts to scope, schedule, and outcomes.
• Create or improve governance, status reporting, decision forums, team communications, and delivery practices without unnecessary process.
• Use appropriate AI-enabled tools and automation to streamline program planning, synthesis, reporting, risk identification, and repeatable workflows.
• Develop reusable program frameworks and self-service paths that help teams spend more time on high-value work.
• Help teams safely integrate and operate AI/ML-enabled capabilities, applying foundational AI/ML concepts and using judgment about human review, data handling, and appropriate tool use.
• Define and report program and team outcomes, delivery health, and relevant performance metrics.
• Monitor product or capability performance after launch and turn insights into actionable improvements.
• Communicate technical and business concepts clearly to delivery teams, partners, senior leaders, and executives.

What you'll need

• 5+ years of experience leading technical programs with cross-functional dependencies in platform, infrastructure, data, analytics, or similarly complex engineering environments.
• Prior technical background and core understanding of SDLC.
• Experience planning and delivering moderately complex programs across multiple teams, including managing timelines, dependencies, risks, milestones, and execution reporting.
• Skilled at building clarity and accountability through dashboards, status communication, governance mechanisms, and structured operating rhythms.
• Comfortable influencing without authority and aligning engineering, product, and business stakeholders around trade-offs, priorities, and next steps.
• Strong technical fluency to understand distributed systems, APIs, services, data flows, architecture discussions, and operational risks.
• Uses data and metrics to make program decisions, identify trends, surface risks, and tell a clear story to technical and leadership audiences.
• Experience operating effectively in ambiguous environments and creating structure that helps teams move forward with confidence.
• Communicates clearly and concisely across different audiences and translates complex technical or delivery topics into actionable updates and decisions.
• Strong ownership mindset, sound judgment, and ability to work collaboratively across teams, functions, and time zones.

Nice to have

• Experience delivering complex, technical programs at scale, particularly where operational excellence, reliability, security, production readiness, or customer outcomes are central.
• Demonstrated ability to influence architecture and technical decisions across teams or domains without direct authority.
• Experience establishing program metrics, dashboards, or feedback mechanisms that improve predictability and delivery performance.
• Practical experience applying AI-assisted program or engineering tools, or AI/ML concepts, to improve product capabilities, delivery workflows, risk management, or business outcomes.
• Experience with one or more of: data platforms, semantic or metrics layers, experimentation platforms, BI or self-service analytics, or developer-facing platform products.
• Experience driving platform adoption or consolidation efforts across multiple customer groups and partner organizations.
• Experience supporting data governance or management capabilities such as metadata, lineage, access control, certification, or data quality.

Details

• Location: Gurgaon, India.