Senior Program Manager, Professional Services
IcertisAbout the role
The Senior Program Manager plays a strategic leadership role within the Professional Services organization, responsible for the successful delivery of complex enterprise SaaS implementations and transformative adoption of the Icertis platform and Vera AI applications.
This position is ideal for an experienced program leader who combines enterprise consulting expertise, strategic stakeholder management, and deep-domain knowledge of Contract Lifecycle Management (CLM), Source-to-Pay (S2P), and Order-to-Cash (O2C) business streams.
You’ll lead multiple concurrent enterprise programs for global customers—driving governance, delivery excellence, executive engagement, and value realization across the contracting ecosystem.
What You’ll Do:
Program Strategy & Delivery Leadership
Lead the end-to-end delivery of Icertis platform and Vera AI implementations for enterprise clients across industries and geographies.
Define program vision, success criteria, delivery models, and multi-phase roadmaps aligned to customer transformation objectives.
Oversee project planning, estimation, risk management, release management, and client acceptance for complex, multi-country deployments.
Manage program budgets, KPIs, and performance metrics ensuring profitability and customer satisfaction.
Client Engagement & Stakeholder Management
Act as the senior point of contact for client executives, sponsors, program and project managers (PMO, Legal, Procurement, IT, Finance, and Sales organizations).
Facilitate daily, weekly, steering committee meetings, executive reviews, and cross-functional discussions internally and with clients to align business goals with delivery execution.
Cultivate trusted relationships across customer leadership teams and Icertis internal stakeholders.
AI and SaaS Transformation Guidance
Champion adoption of Icertis Vera features and GenAI capabilities (e.g., contract analysis, clause suggestion, summarization, and workflow intelligence).
Guide customers in identifying realistic GenAI use cases and managing change across enterprise SaaS ecosystems.
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